英文题目	中文题目
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal	少镜头学习中用类别遍历法寻找任务相关特征
Edge-Labeling Graph Neural Network for Few-Shot Learning	用于少镜头学习的边缘标记图神经网络
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning	用GNN去噪自编码器生成分类权重实现少镜头学习
Kervolutional Neural Networks	核化卷积神经网络	神经网络中传统卷积运算的扩展——kervolution（Kernel Convolution）：对于传统卷积的非线性化——利用非线性映射（针对输入特征，及卷积核）后，再卷积（公式4）
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem	为什么ReLU网络产生远离训练数据的高置信度预测以及如何缓解问题
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions	深度卷积网络对傅立叶基函数方向的结构灵敏度
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization	神经再生：通过提高计算资源利用率改进深度网络训练
Hardness-Aware Deep Metric Learning	硬度感知深度测量学习
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation	Auto-DeepLab：语义图像分割的层次神经结构搜索	神经网络结构的自动搜索优化（而不是预先定义）
Learning Loss for Active Learning	主动学习的学习损失
Striking the Right Balance With Uncertainty	以不确定性达到正确的平衡
AutoAugment: Learning Augmentation Strategies From Data	自增强：从数据中学习增强策略
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences	SDRSAC：无通信的基于半定的随机方法实现鲁棒点云配准
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM	BAD SLAM：Bundle Adjusted直接RGB-D SLAM	提出了实时的密集SLAM的BA方法（传统的密集BA方法比较耗时） 算法贡献主要在于提出使用Surfel的概念，从而利用Surfel来估计一组像素，因而达到密集BA的目的 代价函数见公式1，BA优化算法见Algo.1 代码：www.eth3d.net
Revealing Scenes by Inverting Structure From Motion Reconstructions	通过structure From Motion重建反转来显示场景
Strand-Accurate Multi-View Hair Capture	精确的多视图头发捕捉
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation	deepSDF：学习连续符号距离函数的形状表示
Pushing the Boundaries of View Extrapolation With Multiplane Images	使用多平面图像推送视图外推边界
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching	GA-Net：端到端立体匹配的引导聚合网	提出两种cost aggregation方法：semi-global和local，分别对应无纹理区和细结构/边缘区
Real-Time Self-Adaptive Deep Stereo	实时自适应深度立体	MADNet：在线自适应来解决domain shift问题（训练集为合成数据，而真实测试集为真实场景）。在实际使用中，每帧数据（对）不仅用来计算视差，同时用来在线更新网络权值，达到自适应的目的
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation	LAF-Net：用于立体置信估计的局部(L)自适应(A)融合(F)网络	置信图（Confidence map）用以衡量每个点的（估计后）视差的置信度（如图1），进而对不同置信度像素点的视差可以refine等后处理。
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences	NM-Net：挖掘可靠的邻域，以实现强大的特征对应	特征点对应一般有SIFT等局部特征对应初始化，但是初始化的对应特征点不可避免包含错误的对应，因此需要后处理来“选择”正确的对应特征点。本文主要关注基于学习的方法，来实现正确地“选择”对应特征点。
Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry	无坐标Carlsson-Weinshall对偶及相对多视图几何
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image	利用深度强化学习实现单深度图像的基于体引导渐进视图修补的三维点场景补全
Video Action Transformer Network	视频动作转换网络
Timeception for Complex Action Recognition	复杂动作识别的时间感知
STEP: Spatio-Temporal Progressive Learning for Video Action Detection	STEP：视频动作检测的时空渐进学习
Relational Action Forecasting	关系动作预测
Long-Term Feature Banks for Detailed Video Understanding	详细视频理解的长期功能库
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes	你往哪边走？动态场景中路径预测的模拟决策学习
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment	你的表现如何？行动质量评估的多任务学习方法
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation	MHP-VOS：视频对象分割的多假设传播
2.5D Visual Sound	2.5D视觉声音
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model	语言驱动的时间活动定位：语义匹配的强化学习模型
Gaussian Temporal Awareness Networks for Action Localization	用于动作定位的高斯时间感知网络
Efficient Video Classification Using Fewer Frames	使用更少帧的高效视频分类
Parsing R-CNN for Instance-Level Human Analysis	解析R-CNN实现实例级的人分析
Large Scale Incremental Learning	大规模增量学习	增量学习：不断增加新类别的学习。由于不断增加新类别，导致旧类别的样本减少，造成数据不平衡，从而使得旧类别的识别度下降。本文关注类别不平衡问题的解决
TopNet: Structural Point Cloud Decoder	TopNet：结构化点云解码器
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification	感知关注点：学习可见性感知部分级特征实现部分人重识别
Meta-Transfer Learning for Few-Shot Learning	元转移学习实现少镜头学习
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation	用于精确图像分类和语义分割的结构化二元神经网络	由原始网络经过网络结构改进及权值二元化，实现网络的轻量级
Deep RNN Framework for Visual Sequential Applications	用于视觉序列应用的深度RNN框架
Graph-Based Global Reasoning Networks	基于图的全局推理网络	通过引入全局信息，改善卷积操作的局部性缺陷。如图1,2，首先将空间（笛卡尔坐标）像素投影到交互空间（interaction space），在交互空间通过全连接（图）网络，获取全局信息，然后再反投影到原始空间。
SSN: Learning Sparse Switchable Normalization via SparsestMax	SSN：通过SparsestMax学习稀疏可切换规范化
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition	用于点云识别的球形分形卷积神经网络
Learning to Generate Synthetic Data via Compositing	学习通过合成生成合成数据
Divide and Conquer the Embedding Space for Metric Learning	划分并征服嵌入空间实现度量学习
Latent Space Autoregression for Novelty Detection	新颖性检测的潜在空间自回归
Attending to Discriminative Certainty for Domain Adaptation	注意判别确定性实现域适应
Feature Denoising for Improving Adversarial Robustness	特征去噪提高对抗鲁棒性
Selective Kernel Networks	选择性核网络
On Implicit Filter Level Sparsity in Convolutional Neural Networks	卷积神经网络的隐式滤波级稀疏性	研究比较网络中采用不同方法（正则、优化等）情形下的网络系数稀疏性情况
FlowNet3D: Learning Scene Flow in 3D Point Clouds	FlowNet3D：学习三维点云中的场景流
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks	远程任务中基于场景记忆变换器的嵌入式代理
Co-Occurrent Features in Semantic Segmentation	语义分割中的共现特征	考虑的语义分割中不同语义之间的关系（共现：Co-occurrent，图3），实际上是考虑不同位置之间的点积信息
Bag of Tricks for Image Classification with Convolutional Neural Networks	基于卷积神经网络的图像分类中采用的技巧
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks	二元卷积神经网络的通道交互学习
Knowledge Adaptation for Efficient Semantic Segmentation	有效语义分割的知识自适应	基于知识蒸馏的方法（利用复杂的teacherNet指导简单的studentNet，从而得到更快速、效果更佳的推断），实现语义分割
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack	参数噪声注入：可训练的随机性以提高深度神经网络对抗攻击的鲁棒性
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification	不变性问题：基于范例记忆的域适应人再识别	同时利用source域带标签的训练样本和target域无标签的训练样本，训练具备域自适应的跨域ReID。如图2，其中target域样本考虑三种不变性，形成记忆范例模块，辅助训练
Dissecting Person Re-Identification From the Viewpoint of Viewpoint	从视角的视角剖析人再识别	两点贡献：1.提出了一个构建不同视角训练集的引擎（算法）；2. 分析不同视角对ReID的影响
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification	学习减少双级差异实现红外可见人再识别	红外图像的ReID，两两差异（discrepancy），采用两个不同子网来处理
Progressive Feature Alignment for Unsupervised Domain Adaptation	基于渐进特征对齐的无监督域自适应
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition	特征级Frankenstein：基于差异消除的判别性识别
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels	基于深度ConvNet学习的局部标签多标签分类
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression	联合上的广义交集：用于BoundingBox回归的度量和损失
Densely Semantically Aligned Person Re-Identification	基于密集语义对齐的人再识别	首先利用DensePose模型，将人体进行语义分割（24种语义），然后对于分割后的人体部分进行对齐（alignmeng）。最后，将这些24幅对齐后的图像组作为输入，输入到辅助网络中，帮助提高主网的ReID能力（图3）
Generalising Fine-Grained Sketch-Based Image Retrieval	基于细粒度草图的图像检索
Adapting Object Detectors via Selective Cross-Domain Alignment	选择性跨域对齐实现目标检测器调整
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation	基于循环引导的弱监督联合检测与分割
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes	池化外思维：基于主动训练图像创建的相关属性
Generalizable Person Re-Identification by Domain-Invariant Mapping Network	基于域不变映射网络的可推广人再识别	利用多个domain的数据训练，得到domain可推广的ReID（新的domain无需再update）。采用元学习的思想，网络图见图1
Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification	图像变换下视觉注意一致性实现多标签图像分类
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification	基于度量融合的重新排序实现目标检索和人再识别	人再识别后的re-rank，将几种Fusion算法统一起来。 目标函数：公式10
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization	基于语义差异最小化的无监督开放域识别
Weakly Supervised Person Re-Identification	弱监督人再识别	所谓“弱监督”，在这里指的是Gallery集合中的是视频帧，每帧有若干个人，而对于标签只指出含有哪些人，而不指出对应哪个人。Probe只单个人的patch，且标签为确定的人。这是一个多标签，多实例的问题
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud	PointRCNN：从点云实现三维对象Proposal生成和检测
Automatic Adaptation of Object Detectors to New Domains Using Self-Training	利用自训练使目标探测器自动适应新领域
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing	基于分段三维随机视图的深度草图形状散列
Generative Dual Adversarial Network for Generalized Zero-Shot Learning	基于生成对偶对抗网络的广义零镜头学习
Query-Guided End-To-End Person Search	基于查询引导的端到端人员搜索
Libra R-CNN: Towards Balanced Learning for Object Detection	Libra R-CNN：目标检测的平衡学习	在RNN网络中，作者认为存在三种不平衡（采样不平衡、各层级特征不平衡、损失函数中各项之间不平衡），从而导致效果下降。本文在网络中的不同位置，添加不同的再平衡模块（如图2） 效果有两个点的提升（表1），代码：https://github.com/OceanPang/Libra_R-CNN
Learning a Unified Classifier Incrementally via Rebalancing	通过重新平衡实现统一分类器的逐步学习
Feature Selective Anchor-Free Module for Single-Shot Object Detection	基于特征选择无锚模块的单镜头目标检测
Bottom-Up Object Detection by Grouping Extreme and Center Points	通过对极值点和中心点进行分组的自下而上目标检测
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples	特征蒸馏：基于DNN的JPEG压缩与对抗性示例
SCOPS: Self-Supervised Co-Part Segmentation	SCOPS：自监督共部分分割
Unsupervised Moving Object Detection via Contextual Information Separation	基于上下文信息分离的无监督运动目标检测
Pose2Seg: Detection Free Human Instance Segmentation	Pose2Seg：无需检测人实例分割	专门针对相互遮挡情形下的人实例分割，利用人体骨架特征预测
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios	驾驶立体：用于自动驾驶场景中立体匹配的大规模数据集
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding	PartNet：一个用于精细和层次化Part-Level三维对象理解的大规模基准
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing	大型多模人脸防欺骗的数据集与基准
Unsupervised Learning of Consensus Maximization for 3D Vision Problems	三维视觉问题共识最大化的无监督学习
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People	VizWiz-Priv：一个数据集，用于识别盲人拍摄的图像中私人视觉信息的存在和目的。
Structural Relational Reasoning of Point Clouds	点云的结构关系推理
MVF-Net: Multi-View 3D Face Morphable Model Regression	MVF-Net：多视图三维人脸形态模型回归
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction	光度网格优化实现基于视频对齐的三维对象重建
Guided Stereo Matching	引导立体匹配	给定稀疏（正确）的深度值（可以容易地转化为对应点的视差值），利用这部分信息作为引导，辅助实现立体视觉（公式1-4，通过图2b,c可以看出，其对性能的提升也是有明显的好处的）
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion	无监督的基于事件的光流、深度和自我学习
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN	基于Geo-CNN的三维点云的局部几何结构建模
3D Point Capsule Networks	三维点的胶囊网络
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving	GS3D：一种高效的自动驾驶三维目标检测框架
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding	基于关联嵌入的单幅图像平面三维重建
3DN: 3D Deformation Network	3DN:3D变形网络
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation	HorizonNet：基于一维表示和Pano拉伸数据扩充的室布局学习
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection	基于深度拟合度评分网络的单目三维目标检测
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering	利用神经渲染实现基于RGB的密集三维手部姿态估计
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry	基于多视图几何的三维人体姿态自监督学习
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image	FSA-Net：细粒度结构聚合学习实现单个图像头部姿势估计
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders	2500fps以上密集三维人脸解码：联合纹理和形状卷积网格解码器
Does Learning Specific Features for Related Parts Help Human Pose Estimation?	学习相关部分的特定特征是否有助于人体姿势估计？
Linkage Based Face Clustering via Graph Convolution Network	基于图卷积网络的人脸聚类	所谓“图”，即两两距离矩阵；所谓“图卷积”，及矩阵相乘再（公式2）
Towards High-Fidelity Nonlinear 3D Face Morphable Model	面向高保真非线性三维人脸变形模型
RegularFace: Deep Face Recognition via Exclusive Regularization	RegularFace：基于排他性规则化的深度人脸识别
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation	BridgeNet：一种连续性感知概率网络实现年龄估计	骨干网是CNN，剩下的其实是高斯混合模型（GMM）的网络表示。两个branch，一个是高斯模型（组），另一个是权值，权值网络采用bridgeTree（决策树的改进，图3）表示. 网络结构如图2
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction	GANFIT：高保真三维人脸重建的GAN拟合
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training	多模训练提高单模动态手势识别性能
Learning to Reconstruct People in Clothing From a Single RGB Camera	学习从一台RGB相机中重建穿着衣服的人
Distilled Person Re-Identification: Towards a More Scalable System	蒸馏人再识别：朝着更可扩展的系统发展	不考虑网络结构，本文重点在于采用知识蒸馏的方法，将sourceDomain训练出的teacher网络信息，迁移到未知sourceDomain，但已知少量带标签和大量无标签target上的轻量级student网络上。主要采用样本间相似度的信息（公式3），来实现迁移学习的。
A Perceptual Prediction Framework for Self Supervised Event Segmentation	一种用于自监督事件分割的感知预测框架
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis	COIN：用于综合教学视频分析的大规模数据集
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization	用于联合人群计数和精确定位的反复关注缩放
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition	基于骨架的动作识别的注意力增强图卷积LSTM网络
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection	图形卷积标签噪声清洗器：用于异常检测的训练即插即用动作分类器
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment	MAN：矩对齐网络实现基于迭代图调整的自然语言矩检索
Less Is More: Learning Highlight Detection From Video Duration	少即是多：从视频持续时间中学习Highlight检测
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition	DMC-Net：生成识别运动线索，用于快速压缩视频动作识别
AdaFrame: Adaptive Frame Selection for Fast Video Recognition	AdaFrame：用于快速视频识别的自适应帧选择
Spatio-Temporal Video Re-Localization by Warp LSTM	基于Warp LSTM的时空视频重定位
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization	基于完整性建模与上下文分离的弱监督时间行为定位
Unsupervised Deep Tracking	无监督深度跟踪	利用前向/后向跟踪，实现无监督的学习 网络结构如图2，先利用深度网络抽取特征，再利用相关滤波实现跟踪 代码：https://github.com/594422814/UDT
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers	动画跟踪：多目标注意力跟踪器的无监督学习	无监督的多目标跟踪——定义若干个跟踪器，利用跟踪器的结果，将前一帧数据变换到下一帧，则误差是变换后的数据与下一帧真实数据的差。
Fast Online Object Tracking and Segmentation: A Unifying Approach	快速在线目标跟踪与分割：一种统一的方法	基于孪生网络的传统的SiamFC和SiamRPN网络基础上，添加Mask的概念，实现像素级的分割（而不是BoundingBox）跟踪。它的思想好像是借鉴有Faster-RCNN到MaskRCNN的改进 代码：http://www.robots.ox.ac.uk/˜qwang/SiamMask
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters	基于特定视图判别相关滤波器重构的目标跟踪	针对RGB-D输入的视觉跟踪，对于CSR-DCF的改进算法 1. 结合跟踪与三维重建（估计R，T），互相促进 2. 记录多幅视觉图像（多视角），提高跟踪精度 代码：https://github.com/ugurkart
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints	SoPhie：基于注意力GAN的符合社会和身体约束的路径预测。
Leveraging Shape Completion for 3D Siamese Tracking	利用形状补全进行三维孪生跟踪
Target-Aware Deep Tracking	目标感知深度跟踪
Spatiotemporal CNN for Video Object Segmentation	用于视频对象分割的时空CNN
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification	基于类激活图的扩充的丰富的特征发现，实现人再识别	如图2，相对传统ReID，添加新的branch，用以增加新的（可判别空间位置）的限制（公式5,6）
Wide-Context Semantic Image Extrapolation	宽上下文语义图像外推
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image	从单个室外图像端到端延时视频合成
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images	GIF2video:GIF图像的颜色去量化和时间插值
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis	基于模式搜索GAN的多种图像合成
Pluralistic Image Completion	多元图像补全
Salient Object Detection With Pyramid Attention and Salient Edges	基于金字塔注意和显著边缘的显著物体检测
Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation	基于潜在滤波尺度的多模态无监督图像到图像转换
Attention-Aware Multi-Stroke Style Transfer	基于注意力感知的多笔画风格转换
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks	反馈对抗学习：基于空间反馈的改进GAN
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting	学习金字塔-上下文编码器网络实现高质量图像修复
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling	基于语义标记的示例引导风格一致性图像合成
MirrorGAN: Learning Text-To-Image Generation by Redescription	MirrorGAN：通过重新描述学习文本到图像生成
Light Field Messaging With Deep Photographic Steganography	基于深度摄影隐写术的光场信息发送
Im2Pencil: Controllable Pencil Illustration From Photographs	Im2Pencil：照片中的可控制铅笔插图
When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images	当颜色恒定性出错时：纠正不正确的白平衡图像
Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging	超越体积反照率--非视线成像的表面优化框架
Reflection Removal Using a Dual-Pixel Sensor	使用双像素传感器消除反射
Practical Coding Function Design for Time-Of-Flight Imaging	基于实用编码函数设计的飞行时间成像
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution	Meta-SR：基于放大任意网络的超分辨率
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net	基于MS/HS融合网的多光谱和高光谱图像融合
Learning Attraction Field Representation for Robust Line Segment Detection	基于吸引场表示学习的鲁棒线段检测	将基于深度学习的语义分割技术，应用到线段分割上。首先，定义线段与基于线段的整个图像分割结果映射起来，然后利用语义分割，分割图像，将分割后的图像反映射到线段检测。
Blind Super-Resolution With Iterative Kernel Correction	基于迭代核校正的盲超分辨	分别定义3个深度网络，对于超分辨率、模糊核估计、模糊核校正。利用训练后的网络，迭代优化模糊核及超分辨率结果（Algo.1）
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution	基于时间分布中分数各向异性的野外视频放大
Attentive Feedback Network for Boundary-Aware Salient Object Detection	边界感知反馈显著目标检测的注意力反馈网络	1. 编解码结构网络，在相对应编码与解码过程中，采用两阶段（待反馈）的融合方式；2. 损失函数中，考虑GroundTruth的边缘信息
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning	暴雨图像恢复：物理模型与条件对抗学习的集成	1.给出暴雨下的图像模型（公式2） 2.网络分两个阶段（如图2）：1.模型估计及图像恢复；2.利用cGAN对恢复图像refine 3.用于训练的图像及其暴雨参数都是合成的，用于进行监督训练（见8-12） 4.待处理图像（利用颜色通道残差引导，公式6，防止细节平滑）分割为高频和低频两个通道，分别处理（见图2）
Learning to Calibrate Straight Lines for Fisheye Image Rectification	鱼眼图像校正中直线标定学习
Camera Lens Super-Resolution	相机镜头超分辨率
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow	基于双级流的连续视频去雨
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels	面向任意模糊核的深度即插即用超分辨率	两种超分辨率的退化模型（公式1,2），公式1的解决方法往往没有现成代码，而公式2简单但效果不好。本文提出新的退化模型（公式3），并将公式2的基于DNN的方法，（利用迭代的方法）扩展为针对新的退化模型的方法。DNN是基于公式2的退化模型，预先训练好了的
Sea-Thru: A Method for Removing Water From Underwater Images	海底穿越：一种从水下图像中去除水的方法	输入RGBD图像，对于水下采集图像进行建模和恢复
Deep Network Interpolation for Continuous Imagery Effect Transition	基于深度网络插值的连续图像效果转换
Spatially Variant Linear Representation Models for Joint Filtering	基于空间可变线性表示模型的联合滤波
Toward Convolutional Blind Denoising of Real Photographs	真实照片的卷积盲去噪
Towards Real Scene Super-Resolution With Raw Images	使用原始图像实现真实场景的超分辨率
ODE-Inspired Network Design for Single Image Super-Resolution	基于ODE激励网络的单图像超分辨率
Blind Image Deblurring With Local Maximum Gradient Prior	基于局部最大梯度先验的盲图像去模糊
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging	基于注意引导网络的无幽灵高动态范围成像
Searching for a Robust Neural Architecture in Four GPU Hours	在四个GPU小时内寻找一个强大的神经结构
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction	用于三维场景布局预测的层次去噪递归自编码器
Adaptively Connected Neural Networks	自适应连接神经网络
CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency	CrDoCo：基于跨域一致性的像素级域迁移
Temporal Cycle-Consistency Learning	时间周期一致性学习
Predicting Future Frames Using Retrospective Cycle GAN	使用回顾性Cycle GAN预测未来帧
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization	用于RGB-D人群计数和定位的密度图回归引导检测网络
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning	TAFE-Net：基于任务感知特征嵌入的少镜头学习
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach	从合成数据学习语义分割：一种几何引导的输入输出自适应方法
Attentive Single-Tasking of Multiple Tasks	专注地完成多项任务中的一项任务
Deep Metric Learning to Rank	深度度量学习排名
End-To-End Multi-Task Learning With Attention	基于注意力的端到端多任务学习
Self-Supervised Learning via Conditional Motion Propagation	基于条件运动传播的自监督学习
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence	通过时空对应桥接立体匹配和光流
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation	关于结构：跨域调整结构信息以推进语义分割	文章认为高层结构特征是域不变的，而低层纹理特征是域变化的。如图2，采用编解码结构，将结构特征与纹理特征分离，利用域不变的结构特征训练语义分割网络。定义了相对应的一组损失函数
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning	弱空间约束下的迭代重组：无监督表示学习中任意拼图问题的求解
Revisiting Self-Supervised Visual Representation Learning	再研究自我监督的视觉表征学习
It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning	这与旅行无关；与目的地有关：在问题引导下沿着软路径进行视觉推理
Actively Seeking and Learning From Live Data	从实时数据中主动地寻求和学习
Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing	用跨模态注意引导擦除改进指代表达式Grounding
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks	邻里观察：通过语言引导的图形注意力网络进行指代表达理解	refering expression：用自然语言指定图中物体，算法自动检测出该物体：http://vision2.cs.unc.edu/refer/comprehension
Scene Graph Generation With External Knowledge and Image Reconstruction	基于外部知识和图像重构的场景图生成
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval	用于跨模态检索的多义视觉-语义嵌入
MUREL: Multimodal Relational Reasoning for Visual Question Answering	基于多模态关系推理的视觉问答
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering	基于异构记忆增强多模注意力模型的视频问答
Information Maximizing Visual Question Generation	信息最大化视觉问题生成
Learning to Detect Human-Object Interactions With Knowledge	利用知识学习发现人类-物体的交互
Learning Words by Drawing Images	画图学字
Factor Graph Attention	因子图注意
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition	利用主动获取实现下采样MRI重建中不确定性降低
ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification	基于迭代图像校正的端到端场景文本识别
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape	ROI-10D：单目二维检测提升到6D姿势和公制形状
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images	医学图像半监督分割与分类的协同学习
Biologically-Constrained Graphs for Global Connectomics Reconstruction	基于生物学约束图的全局连接体重建
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification	P3SGD：保留患者隐私的SGD，用于病理图像分类中的深层CNN正则化
Elastic Boundary Projection for 3D Medical Image Segmentation	基于弹性边界投影的三维医学图像分割
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images	SIXray：一个大型安全检查X射线基准，用于在重叠图像中发现违禁物品
Noise2Void - Learning Denoising From Single Noisy Images	Noise2Void：从单个噪声图像学习图像去噪	本文回顾了基于深度学习的两种训练方法（带GT的和不带GT，但是带另一幅噪声图像的），提出了一种仅通过噪声图像自身进行深度网络学习的方法。 其思想很简单（Fig.a），即在训练当前像素时，将其感受野中所对应当前像素去掉，从而迫使深度模型采用周围像素来学习当前位置的像素值
Joint Discriminative and Generative Learning for Person Re-Identification	基于联合辨别与生成学习的人再识别
Unsupervised Person Re-Identification by Soft Multilabel Learning	基于软多标签学习的无监督人再识别
Learning Context Graph for Person Search	用于人员搜索的上下文图学习
Gradient Matching Generative Networks for Zero-Shot Learning	基于梯度匹配生成网络的零镜头学习
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval	涂鸦搜索：实用的基于零镜头草图的图像检索
Zero-Shot Task Transfer	零镜头任务迁移
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection	基于连续多实例学习的弱监督目标检测
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations	基于像素间关系的弱监督实例分割	基于类别级标签的弱监督实例分割，在CAM基础上，考虑类不可知区域和像素间关系（Affinx），如图2
Attention-Based Dropout Layer for Weakly Supervised Object Localization	基于注意的Dropout层实现弱监督目标定位
Domain Generalization by Solving Jigsaw Puzzles	基于求解拼图的域泛化
Transferrable Prototypical Networks for Unsupervised Domain Adaptation	基于可转移原型网络的无监督域自适应
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks	基于对抗性元适应网络的混合目标域自适应
ELASTIC: Improving CNNs With Dynamic Scaling Policies	ELASTIC：通过动态缩放策略改进CNN
ScratchDet: Training Single-Shot Object Detectors From Scratch	ScratchDet：从零开始训练单镜头目标检测器
SFNet: Learning Object-Aware Semantic Correspondence	对象感知语义对应学习
Deep Metric Learning Beyond Binary Supervision	超越二元监督的深度度量学习
Learning to Cluster Faces on an Affinity Graph	学习在关联图上聚类人脸
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition	C2AE:用于开放集识别的类条件自编码器
Shapes and Context: In-The-Wild Image Synthesis & Manipulation	形状与背景：在野外图像合成与操作
Semantics Disentangling for Text-To-Image Generation	基于语义分离的文本到图像生成
Semantic Image Synthesis With Spatially-Adaptive Normalization	空间自适应归一化的语义图像合成
Progressive Pose Attention Transfer for Person Image Generation	用于人像生成的渐进式姿势-注意力转移
Unsupervised Person Image Generation With Semantic Parsing Transformation	基于语义解析转换的无监督人像生成
DeepView: View Synthesis With Learned Gradient Descent	DeepView：基于梯度下降学习的视图合成
Animating Arbitrary Objects via Deep Motion Transfer	通过深度运动传输实现任意对象的动画
Textured Neural Avatars	纹理神经化身（Avatars）
IM-Net for High Resolution Video Frame Interpolation	用于高分辨率视频帧插值的IM网络
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation	基于同态隐空间插值的非配对图像到图像转换
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation	基于级联语义指导的多通道注意选择GAN实现跨视图图像翻译
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping	基于几何一致GAN的单侧无监督域映射
DeepVoxels: Learning Persistent 3D Feature Embeddings	DeepVoxels：学习持久的3D功能嵌入
Inverse Path Tracing for Joint Material and Lighting Estimation	关节材料反路径跟踪与光照估计
The Visual Centrifuge: Model-Free Layered Video Representations	视觉离心机：无模型分层视频表示
Label-Noise Robust Generative Adversarial Networks	标签噪声鲁棒GAN
DLOW: Domain Flow for Adaptation and Generalization	基于域流的适应和泛化
CollaGAN: Collaborative GAN for Missing Image Data Imputation	CollaGAN：基于协作GAN的缺失图像数据插补
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding	基于随机邻域嵌入的域自适应
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation	更仔细地看域迁移：基于类别级对抗的语义一致域自适应
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation	ADVENT：基于对抗熵最小化的语义分割域适应
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context	ContextDesc：使用跨模态上下文的局部描述符扩充
Large-Scale Long-Tailed Recognition in an Open World	开放世界中的大规模长拖尾识别
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data	AET与AED：通过自编码转换而非数据的无监督表示学习
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks	层叠空洞卷积：密集匹配任务的统一描述网络
Learning Correspondence From the Cycle-Consistency of Time	从时间的循环一致性中学习对应关系
AE2-Nets: Autoencoder in Autoencoder Networks	AE2-Net：AutoEncoder网络中的AutoEncoder
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach	图像表示中的减轻信息泄漏：最大熵方法
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks	利用几何感知循环网络学习空间Common Sense
Structured Knowledge Distillation for Semantic Segmentation	基于结构化知识蒸馏的语义分割	结合三类知识蒸馏方法（像素级、像素对级和整体级），实现由复杂网络到简单网络的知识蒸馏
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans	Scan2CAD：在RGB-D扫描中学习CAD模型对齐
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation	面向场景理解：基于语义感知表示的无监督单目深度估计
Tell Me Where I Am: Object-Level Scene Context Prediction	告诉我我在哪里：对象级场景上下文预测
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation	基于归一化目标坐标空间的类别级6D对象姿态和尺寸估计
Supervised Fitting of Geometric Primitives to 3D Point Clouds	几何基元到三维点云的监督拟合
Do Better ImageNet Models Transfer Better?	更好的ImageNet模型能得到更好的传输吗？
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild	联合像素和特征级域适应实现野外识别
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift	用方差变换理解Dropout与Batch Normalization之间的不协调性
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation	循环二元卷积网络：利用循环反向传播增强1bit DCNN的性能
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features	DeFusionNET：通过反复融合和细化多尺度深度特征进行散焦模糊检测
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks	基于深层虚拟网络的多任务的内存高效推理
Universal Domain Adaptation	通用域适应
Improving Transferability of Adversarial Examples With Input Diversity	利用输入多样性提高对抗性实例的可传递性
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition	序列-序列的域自适应网络实现鲁棒文本图像识别
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval	基于混合注意的解耦度量学习实现零镜头图像检索
Learning to Sample	学习采样
Few-Shot Learning via Saliency-Guided Hallucination of Samples	通过显著性引导的样本幻觉进行的少镜头学习
Variational Convolutional Neural Network Pruning	变分卷积神经网络剪枝
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning	基于生成对抗学习的CNN优化结构修剪
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression	利用核稀疏性和熵实现可解释CNN压缩
Fully Quantized Network for Object Detection	基于全量化网络的目标检测
MnasNet: Platform-Aware Neural Architecture Search for Mobile	MnasNet：移动设备中平台感知神经架构搜索
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More	学生成为大师：基于知识融合的联合场景分析、深度估计等
K-Nearest Neighbors Hashing	K-最近邻哈希
Learning RoI Transformer for Oriented Object Detection in Aerial Images	用于航空图像定向目标检测的学习型ROI变换器
Snapshot Distillation: Teacher-Student Optimization in One Generation	快速蒸馏：一代中的师生优化
Geometry-Aware Distillation for Indoor Semantic Segmentation	用于室内语义分割的几何感知蒸馏	1. 所谓“几何”，在此是“深度”的意思 2. 本文算法即将深度和语义分割同时进行，而语义分割采用的是带深度的pipeline。 3. 训练集是带有深度的RGB图像
LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search	LiveSketch：基于引导草图的视觉搜索的查询扰动
Bounding Box Regression With Uncertainty for Accurate Object Detection	具有不确定性的边界盒回归用于精确目标检测
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations	OCGAN：基于约束潜在表示的GAN实现一类新颖性检测
Learning Metrics From Teachers: Compact Networks for Image Embedding	由教师学习度量：图像嵌入的紧凑网络
Activity Driven Weakly Supervised Object Detection	活动驱动的弱监督目标检测
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation	分离适应：通过渐进分离的开放集域适应
Layout-Graph Reasoning for Fashion Landmark Detection	基于布局图推理的时尚标记检测
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs	提取哈希：通过蒸馏数据对进行无监督的深度哈希
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks	注意你的邻居：基于元数据邻域图共同关注网络的图像注释
Region Proposal by Guided Anchoring	基于引导锚定的区域建议
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation	远距离监督质心偏移：一种简单有效的视觉域自适应方法
Learning to Transfer Examples for Partial Domain Adaptation	基于学习转移例子的部分域适应
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding	基于视觉语义嵌入的广义零镜头识别
Towards Visual Feature Translation	面向视觉特征翻译
Amodal Instance Segmentation With KINS Dataset	基于KINS数据集的Amodal实例分割
Global Second-Order Pooling Convolutional Networks	全局二阶池化卷积网络
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up	弱监督互补部分模型实现自底向上细粒度图像分类
NetTailor: Tuning the Architecture, Not Just the Weights	NetTailor：调整架构，而不仅仅是权重
Learning-Based Sampling for Natural Image Matting	基于学习的采样实现自然图像抠图
Learning Unsupervised Video Object Segmentation Through Visual Attention	通过视觉注意学习无监督视频对象分割
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks	4D时空ConvNet：Minkowski卷积神经网络
Pyramid Feature Attention Network for Saliency Detection	基于金字塔特征关注网络的显著性检测
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing	基于多尺度标签平滑的掩模引导全卷积网络实现共显著性检测
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines	SAIL-VOS：语义Amodal实例级视频对象分割-合成数据集和基线
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation	基于实例激活映射学习的弱监督实例分割	弱监督实例分割，基于类级别标签学习，利用分类网络中特征图对于实例部分高激活特性，在此基础上进行fill，得到伪实例标签，进行学习
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation	译码器对语义分割很重要：数据相关解码实现灵活地特征聚合
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation	基于盒驱动类域掩蔽和填充率导引损失的弱监督语义分割
Dual Attention Network for Scene Segmentation	用于场景分割的双注意网络
InverseRenderNet: Learning Single Image Inverse Rendering	InverseRenderNet：单个图像的反向渲染学习
A Variational Auto-Encoder Model for Stochastic Point Processes	基于变分自编码模型的随机点过程
Unifying Heterogeneous Classifiers With Distillation	利用蒸馏实现非均匀分类器的统一
Assessment of Faster R-CNN in Man-Machine Collaborative Search	人机协同搜索中Faster R-CNN的评估
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge	OK-VQA：一个需要外部知识的视觉问题解答基准
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction	神经判别降维实现多任务CNN的分层特征融合
Spectral Metric for Dataset Complexity Assessment	利用谱度量实现数据集复杂性评估
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding	ADCrowdNet：一种用于群体理解的注意力注入可变形卷积网络
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild	VERI-Wild：一个大型数据集和一种新的野外车辆再识别方法
3D Local Features for Direct Pairwise Registration	基于3D局部特征的直接成对配准
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds	HPLFlowNet：用于大柜面点云上场景流估计的层次置换格FlowNet
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices	基于多视图基本矩阵代数约束的全局投影SFM
Group-Wise Correlation Stereo Network	群相关立体网络	PSMNet基础上的改进，主要体现在以下几个方面： 1. costVolumn采用concatenation（公式2）和correlation（公式1）相结合的方式，特别是correlation，采用通道分组的方式（公式3），以获取更多的信息，从而使aggregationNet简化成为可能。 2. aggregation Net 进行了改进（图2），提升了速度
Multi-Level Context Ultra-Aggregation for Stereo Matching	基于多级上下文超聚合的立体匹配	基于PSMNet的改进，主要改动在前端matching cost calculation部分，如图3，添加了一个子分支，从而定义了所谓“interesting level组合”（图中彩色实线），而模块内部采用的是密集连接，文中称为高阶RCNN 另一部分改进在输出部分，见图2，引入了残差模块来精化
Large-Scale, Metric Structure From Motion for Unordered Light Fields	无序光场运动的大尺度测度SFM
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression	理解基于CNN的绝对摄像机姿态回归的局限性
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image	基于稀疏激光雷达数据和单色图像的室外场景深度地表法线引导深度预测
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling	利用自关注和Gumbel子集采样对点云进行建模
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition	基于分批最优传输损失的三维形状识别学习
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion	密集融合：基于迭代密集融合的6D目标姿态估计
Dense Depth Posterior (DDP) From Single Image and Sparse Range	单个图像和稀疏区域的密集后向深度（DDP）
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama	DuLa-Net：从单一的RGB全景图估算房间布局的双投影网。
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach	通过多任务几何和语义场景理解方法实现的时间一致深度预测
Segmentation-Driven 6D Object Pose Estimation	分段驱动6D目标姿态估计
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild	利用时间上下文实现野外三维人体姿态估计
What Do Single-View 3D Reconstruction Networks Learn?	单视图三维重建网络学习什么？
UniformFace: Learning Deep Equidistributed Representation for Face Recognition	UniformFace：学习人脸识别的深度均匀表示
Semantic Graph Convolutional Networks for 3D Human Pose Regression	基于语义图卷积网络的三维人体姿态回归
Mask-Guided Portrait Editing With Conditional GANs	基于条件GAN的模板引导式肖像编辑
Group Sampling for Scale Invariant Face Detection	基于群抽样的尺度不变人脸检测
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation	基于联合表示与估计学习的面部动作单元强度估计
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection	语义对齐：为人脸地标检测找到语义一致的Ground-Truth
LAEO-Net: Revisiting People Looking at Each Other in Videos	LAEO-Net：重温视频中互相注视的人
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks	基于遮挡自适应深度网络的人脸地标检测
Learning Individual Styles of Conversational Gesture	学习会话手势的个人风格
Face Anti-Spoofing: Model Matters, so Does Data	人脸反欺骗：模型很重要，数据也很重要
Fast Human Pose Estimation	快速人体姿态估计
Decorrelated Adversarial Learning for Age-Invariant Face Recognition	基于非相关对抗学习的年龄不变人脸识别
Cross-Task Weakly Supervised Learning From Instructional Videos	从指导视频中实现交叉任务弱监督学习
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation	D3TW：判别性可微动态时间扭曲实现弱监督动作对齐和分割
Progressive Teacher-Student Learning for Early Action Prediction	基于渐进师生学习的早期行动预测
Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning	基于多尺度时空推理的视频社会关系识别
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation	基于多级时间卷积网络的动作分割
Transferable Interactiveness Knowledge for Human-Object Interaction Detection	基于可转移交互知识的人-物交互检测
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition	动作-结构图卷积网络实现基于骨架的动作识别
Multi-Granularity Generator for Temporal Action Proposal	基于多粒度生成器的时域动作建议
Deep Rigid Instance Scene Flow	深度刚性实例场景流
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks	看到更多，了解更多：基于共同关注孪生网络的无监督视频对象分割
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification	基于Patch的判别特征学习实现无监督人再识别
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking	SPM-Tracker：基于串并行匹配的实时视觉目标跟踪	SiamFC的改进（图2）。抽取深度特征后，接着分两个阶段（CM：重点在于鲁棒性；FM：重点在于精度）
Spatial Fusion GAN for Image Synthesis	基于空间融合GAN的图像合成
Text Guided Person Image Synthesis	文本引导的人图像合成
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing	一种统一的选择传输网络实现任意图像属性编辑
Towards Instance-Level Image-To-Image Translation	面向实例级的图像到图像转换
Dense Intrinsic Appearance Flow for Human Pose Transfer	基于稠密内在表象流的人体姿态转换
Depth-Aware Video Frame Interpolation	深度感知视频帧插值
Sliced Wasserstein Generative Models	切片化Wasserstein生成模型
Deep Flow-Guided Video Inpainting	深度流引导视频修复
Video Generation From Single Semantic Label Map	从单一语义标签映射生成视频
Polarimetric Camera Calibration Using an LCD Monitor	使用LCD监视器校准偏光照相机
Fully Automatic Video Colorization With Self-Regularization and Diversity	具有自规则性和多样性的全自动视频着色
Zoom to Learn, Learn to Zoom	缩放以学习，学习以缩放
Single Image Reflection Removal Beyond Linearity	线性以外的单一图像反射消除
Learning to Separate Multiple Illuminants in a Single Image	学习在单个图像中分离多个光源
Shape Unicode: A Unified Shape Representation	形状Unicode：统一的形状表示
Robust Video Stabilization by Optimization in CNN Weight Space	CNN权重空间中的优化实现鲁棒视频稳定
Learning Linear Transformations for Fast Image and Video Style Transfer	基于线性转换的快速图像和视频样式转换
Local Detection of Stereo Occlusion Boundaries	立体遮挡边界的局部检测
Bi-Directional Cascade Network for Perceptual Edge Detection	基于双向级联网络的感知边缘检测
Single Image Deraining: A Comprehensive Benchmark Analysis	单图像去雨：综合基准分析
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections	基于参数选择共享和嵌套跳过连接的动态场景去模糊
Events-To-Video: Bringing Modern Computer Vision to Event Cameras	事件到视频：现代计算机视觉与事件摄像头的桥梁
Feedback Network for Image Super-Resolution	基于反馈网络的图像超分辨率
Semi-Supervised Transfer Learning for Image Rain Removal	基于半监督转移学习的图像雨消除
EventNet: Asynchronous Recursive Event Processing	EventNet：异步递归事件处理
Recurrent Back-Projection Network for Video Super-Resolution	基于递归反投影网络的视频超分辨率
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection	级联部分译码器实现快速准确的显著目标检测
A Simple Pooling-Based Design for Real-Time Salient Object Detection	一种简单的基于池的实时显著目标检测
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection	基于对比度先验和流体金字塔集成的RGBD显著目标检测
Progressive Image Deraining Networks: A Better and Simpler Baseline	渐进式图像消除网络：一个更好和更简单的基线
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud	基于生成形状建议网络的点云中三维实例分割
Attentive Relational Networks for Mapping Images to Scene Graphs	用于将图像映射到场景图的注意力关系网络
Relational Knowledge Distillation	关系知识蒸馏
Compressing Convolutional Neural Networks via Factorized Convolutional Filters	用因子分解卷积滤波器压缩卷积神经网络
On the Intrinsic Dimensionality of Image Representations	论图像表示的内在维数
Part-Regularized Near-Duplicate Vehicle Re-Identification	部分规则化近重复车辆重新识别
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics	基于运动和外观统计预测的视频自监督时空表示学习
Classification-Reconstruction Learning for Open-Set Recognition	开放集识别的分类重构学习
Emotion-Aware Human Attention Prediction	情绪感知人类注意力预测
Residual Regression With Semantic Prior for Crowd Counting	基于语义先验残差回归的群体计数
Context-Reinforced Semantic Segmentation	上下文强化的语义分割	利用上下文来提升语义分割效果，而上下文与分割结果之间，利用强化学习来相互增强。如图2
Adversarial Structure Matching for Structured Prediction Tasks	基于对抗结构匹配的结构化预测任务
Deep Spectral Clustering Using Dual Autoencoder Network	利用双自编码器网络进行深度谱聚类
Deep Asymmetric Metric Learning via Rich Relationship Mining	基于丰富关系挖掘的深度非对称度量学习
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates	学习检测兴趣点变化以进行主动地图更新
Associatively Segmenting Instances and Semantics in Point Clouds	点云中的关联分段实例和语义
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation	模式亲和传播在深度、表面法向和语义分割上的应用
Scene Categorization From Contours: Medial Axis Based Salience Measures	基于轮廓的场景分类：基于中轴的显著测量
Unsupervised Image Captioning	无监督图像字幕
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables	利用基于潜在变量的结构化输出学习对图像字幕的精确攻击
Cross-Modal Relationship Inference for Grounding Referring Expressions	基于跨模态关系推理的Grouding指代表达	refering expression：用自然语言指定图中物体，算法自动检测出该物体：http://vision2.cs.unc.edu/refer/comprehension
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions	要知道什么？不确定性作为引导提问面向目标的问题
Iterative Alignment Network for Continuous Sign Language Recognition	基于迭代对齐网络的连续符号语言识别
Neural Sequential Phrase Grounding (SeqGROUND)	神经序列短语Grounding（seqground）
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions	CLEVR-Ref+：用引用表达式实现诊断视觉推理
Describing Like Humans: On Diversity in Image Captioning	像人类一样的描述：图像字幕的多样性
MSCap: Multi-Style Image Captioning With Unpaired Stylized Text	MSCap:利用不成对的样式化文本实现多风格图像字幕
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System	CRAVES：用基于视觉的经济系统实现机械臂控制
Networks for Joint Affine and Non-Parametric Image Registration	联合仿射与非参数图像配准的网络
Learning Shape-Aware Embedding for Scene Text Detection	用于场景文本检测的形状感知嵌入学习
Learning to Film From Professional Human Motion Videos	从专业的人体运动视频中学习电影
Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention	通过以任务为中心的视觉关注实现深度视觉运动策略鲁棒化
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence	基于时间聚集和重现的深度盲视频去字幕
Learning Video Representations From Correspondence Proposals	从通信建议中学习视频表示
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks	SiamRPN++：具有非常深网络的孪生视觉跟踪的演变	SiamRPN的改进算法： 1. 加深网络，同时保持移动不变性（图2） 2. 层间融合（图2） 3. 跨相关性的改进（图3） 代码： http://bo-li.info/SiamRPN++
Sphere Generative Adversarial Network Based on Geometric Moment Matching	基于几何矩匹配的球面GAN
Adversarial Attacks Beyond the Image Space	图像空间之外的敌对攻击
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks	通过翻译不变攻击规避可转移对抗性例子的防御
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses	基于梯度的二级对抗攻击与防御的去耦方向与准则
A General and Adaptive Robust Loss Function	一种通用的自适应鲁棒损失函数
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration	基于几何中值的深度卷积神经网络加速滤波修剪
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss	通过优化有任务损失的量化区间学习量化深度网络
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection	基于层次区域选择的迁移学习实现语义分割
Unsupervised Learning of Dense Shape Correspondence	密集形状对应的无监督学习
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach	无监督视觉域自适应：一种深度最大边缘高斯过程方法
Balanced Self-Paced Learning for Generative Adversarial Clustering Network	基于平衡自学习的生成对抗性聚类网络
A Style-Based Generator Architecture for Generative Adversarial Networks	一种基于风格的生成器结构实现GAN
Parallel Optimal Transport GAN	并行最优传输GAN
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans	3D-SIS:RGB-D扫描的3D语义实例分割
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light	结构光的双峰多径扫描的原因及修正
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes	TextureNet：从网格上的高分辨率信号学习的一致局部参数化
PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image	PlaneRCNN：单个图像的三维平面检测和重建
Occupancy Networks: Learning 3D Reconstruction in Function Space	占用网络：在函数空间中学习三维重建
3D Shape Reconstruction From Images in the Frequency Domain	基于频域的图像的三维形状重建
SiCloPe: Silhouette-Based Clothed People	SiCloPe：基于剪影的给人穿衣
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation	基于层次网格变形的单个图像的人体形状详细估计
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction	基于卷积网格回归的单图像人的形状重建
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions	H+O：三维手-物体姿势和交互的统一自我中心识别
Learning the Depths of Moving People by Watching Frozen People	通过观察静止的人来学习移动的人的深度
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion	基于场景补全的RGB-D扫描的极端相对姿态估计
A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images	骨架-桥接深度学习实现从单个RGB图像生成复杂拓扑网格
Learning Structure-And-Motion-Aware Rolling Shutter Correction	基于结构与运动感知学习的卷帘（Rolling Shutter）校正
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation	基于像素级投票网络的6自由度姿态估计
SelFlow: Self-Supervised Learning of Optical Flow	SelFlow：基于自监督学习的光流
Taking a Deeper Look at the Inverse Compositional Algorithm	深入研究逆合成算法
Deeper and Wider Siamese Networks for Real-Time Visual Tracking	更深更广泛的孪生网络，用于实时视觉跟踪	孪生（SiamFC/SiamPRN）网络实现端到端跟踪的改进：采用更深的网络和更宽的网络 代码：https://github.com/researchmm/SiamDW.
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking	高保真人脸模型的自监督自适应实现单目性能跟踪
Diverse Generation for Multi-Agent Sports Games	多智能体体育游戏的多代化
Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields	基于循环时空相似场的高效在线多人二维姿态跟踪
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching	GFrames:用于三维形状匹配的基于梯度的局部参考帧
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking	消除多目标跟踪中的曝光偏差和测量失配	逐帧检测形成Tracklet，再merge的方法对于测量失配和曝光偏差的改进。
Graph Convolutional Tracking	图卷积跟踪	端到端SiamFC的改进算法： 1. 使用图卷积（基于两两距离矩阵，拉普拉斯矩阵） 2. 同时使用时-空信息和上下文信息（公式2,3） 代码：http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html
ATOM: Accurate Tracking by Overlap Maximization	ATOM：通过重叠最大化实现精确跟踪	基于深度网络的在线/离线跟踪（值得推荐） 1. 整个网络（图2）分两个子网络：精确估计模块（离线学习，基于IoUNet的深度网络，估计每个IoU的socre，图3）和前景/背景分类网络（在线学习，基于相关滤波的深度网络，将利用热图前景背景分开） 2. GPU下实时30FPS 代码：https://github.com/visionml/pytracking
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters	基于自适应空间正则化相关滤波器的视觉跟踪	SRDCF和BACF的扩展（两者都是其特例），公式4，并给出基于ADMM的优化算法
Deep Tree Learning for Zero-Shot Face Anti-Spoofing	零镜头人脸反欺骗的深度树学习
ArcFace: Additive Angular Margin Loss for Deep Face Recognition	ArcFace：深度人脸识别的额外的角边缘损失
Learning Joint Gait Representation via Quintuplet Loss Minimization	通过五重损失最小化学习联合步态表示
Gait Recognition via Disentangled Representation Learning	基于分离表示学习的步态识别
Reversible GANs for Memory-Efficient Image-To-Image Translation	基于可逆GANs的内存高效的图像-图像转换
Sensitive-Sample Fingerprinting of Deep Neural Networks	深度神经网络中的敏感样本指纹
Soft Labels for Ordinal Regression	用于序数回归的软标签
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks	局部到全局学习：基于逐步增加课程的深度神经网络训练
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?	在深度网络中学习意味着什么？而且，如何检测敌方攻击？
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning	基于对抗学习的低资源手写体识别
Adversarial Defense Through Network Profiling Based Path Extraction	基于网络仿形的路径提取实现对抗防御
RENAS: Reinforced Evolutionary Neural Architecture Search	强化演进神经架构搜索
Co-Occurrence Neural Network	共现神经网络
SpotTune: Transfer Learning Through Adaptive Fine-Tuning	SpotTune：自适应微调迁移学习
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning	信噪比：一种用于深度测量学习的鲁棒距离度量
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View	从隐写分析的角度看基于检测的对抗实例防御
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs	异构核卷积在深度CNN中的应用
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects	摆姿势：神经网络很容易被熟悉物体的奇怪姿势愚弄。
Blind Geometric Distortion Correction on Images Through Deep Learning	基于深度学习的图像盲几何失真校正
Instance-Level Meta Normalization	实例级元规范化
Iterative Normalization: Beyond Standardization Towards Efficient Whitening	迭代标准化：超越高效白化的标准化
On Learning Density Aware Embeddings	论密度感知嵌入学习
Contrastive Adaptation Network for Unsupervised Domain Adaptation	基于对比度自适应网络的无监督域自适应
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks	LP-3DCNN：揭示三维卷积神经网络中的局部相位
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification	属性驱动的特征分离与时间聚合实现视频人再识别
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?	二元集成神经网络：每个网络的比特数更多还是每个比特的网络数更多？
Distilling Object Detectors With Fine-Grained Feature Imitation	基于细粒度特征模拟的目标检测蒸馏
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure	用于修剪结构复杂的极深卷积网络的向心SGD
Knockoff Nets: Stealing Functionality of Black-Box Models	Konckoff Net：窃取黑匣子模型的功能
Deep Embedding Learning With Discriminative Sampling Policy	基于判别抽样策略的深度嵌入学习
Hybrid Task Cascade for Instance Segmentation	混合任务级联实例分割
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations	通过回收边界框注释实现多任务自监督目标检测
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis	ClusterNet：用于点云分析的严格旋转不变表示的深度层次集群网络
Learning to Learn Relation for Important People Detection in Still Images	通过学习关系实现静止图像中重要人物检测
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition	寻找细节中的魔鬼：学习三线注意采样网络进行细粒度图像识别
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning	多相似度损失的一般配对加权实现深度度量学习
Domain-Symmetric Networks for Adversarial Domain Adaptation	基于域对称网络的对抗域适应
End-To-End Supervised Product Quantization for Image Search and Retrieval	基于端到端监督产品量化的图像搜索和检索
Learning to Learn From Noisy Labeled Data	学习从带噪的标签数据中学习
DSFD: Dual Shot Face Detector	双镜头人脸检测器
Label Propagation for Deep Semi-Supervised Learning	标签传播在深度半监督学习中的应用
Deep Global Generalized Gaussian Networks	深度全局广义高斯网络
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval	语义关联成对循环一致性实现基于零镜头草图的图像检索
Context-Aware Crowd Counting	上下文感知的群组计数
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search	检测到检索：基于高效区域聚合的图像搜索
Towards Accurate One-Stage Object Detection With AP-Loss	基于AP损失的精确一阶段目标检测
On Exploring Undetermined Relationships for Visual Relationship Detection	视觉关系检测中未定关系的探讨
Learning Without Memorizing	无需记忆的学习
Dynamic Recursive Neural Network	动态递归神经网络
Destruction and Construction Learning for Fine-Grained Image Recognition	基于破坏与构造学习的细粒度图像识别
Distraction-Aware Shadow Detection	分心感知阴影检测
Multi-Label Image Recognition With Graph Convolutional Networks	基于图卷积网络的多标签图像识别
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection	高级语义特征检测：行人检测的新视角
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection	RepMet：基于表示的度量学习实现分类和少镜头目标检测
Ranked List Loss for Deep Metric Learning	基于排名损失的深度度量学习
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning	CANet：具有迭代细化和专注的少镜头学习的类不可知分割网络
Precise Detection in Densely Packed Scenes	密集场景中的精确检测
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing	基于知识嵌入式GAN的半监督场景解析
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks	基于交互和传播网络的快速用户引导视频对象分割
Fast Interactive Object Annotation With Curve-GCN	基于曲线GCN的快速交互对象标注
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference	FickleNet：基于随机推理的弱监督和半监督语义图像分割
RVOS: End-To-End Recurrent Network for Video Object Segmentation	视频对象分割的端到端循环网络
DeepFlux for Skeletons in the Wild	基于DeepFlux的野外骨架
Interactive Image Segmentation via Backpropagating Refinement Scheme	基于后向传播细化方案的交互式图像分割
Scene Parsing via Integrated Classification Model and Variance-Based Regularization	基于综合分类模型和方差正则化的场景分析
RAVEN: A Dataset for Relational and Analogical Visual REasoNing	RAVEN：用于关系和类比视觉推理的数据集
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach	基于归一化的曲面重构：一种基于DGP的鲁棒不连续性保持方法
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images	DeepFashion2：服装图像的检测、姿势估计、分割和再识别的通用基准
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion	跳跃流形：几何感知密集非刚性SFM
LVIS: A Dataset for Large Vocabulary Instance Segmentation	大词汇实例分割的数据集
Fast Object Class Labelling via Speech	通过语音实现快速标记对象类
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking	LaSOT：大规模单目标跟踪的高质量基准
Creative Flow+ Dataset	创意流+数据集
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration	基于双域协作的弱监督开放集域自适应
A Neurobiological Evaluation Metric for Neural Network Model Search	用于神经网络模型搜索的神经生物学评价指标
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision	迭代投影与匹配：寻找保结构表示及其在计算机视觉中的应用
Efficient Multi-Domain Learning by Covariance Normalization	基于协方差归一化的高效多域学习
Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance	不同显示亮度和视距下的可见图像差异预测
A Bayesian Perspective on the Deep Image Prior	基于深度图像先验的贝叶斯透视
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving	ApolloCar3D：面向自动驾驶的一个大型3D汽车实例理解基准
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification	用乘积量化器压缩未知图像实现有效的零镜头分类
Self-Supervised Convolutional Subspace Clustering Network	自监督卷积子空间聚类网络
Multi-Scale Geometric Consistency Guided Multi-View Stereo	多尺度几何一致性引导的多视角立体
Privacy Preserving Image-Based Localization	隐私保护的基于图像的定位
SimulCap : Single-View Human Performance Capture With Cloth Simulation	SimulCap：用布料模拟单视图人的表现捕捉
Hierarchical Deep Stereo Matching on High-Resolution Images	高分辨率图像的分层深度立体匹配	主要是利用空间金字塔（SPP）抽取不同（4个）尺度的特征，并由此得到多尺度的costVolumn，低尺度特征不仅独立估计视差，同时辅助高尺度特征计算高尺度costVolumn（图2，3），即所谓“层级” 文中同时还给出数据增广方法和新的训练数据集
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference	基于循环MVSNet的高分辨率多视图立体深度推断
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks	使用多投影GAN从轮廓图像集合合成三维形状
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities	完美匹配：基于平滑密度的三维点云匹配
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth	用于（非）监督学习单眼视频视觉里程计和深度的循环神经网络	基于LSTM深度网络结构的深度和位置同时估计。网络结构如图3，pipleline如图2，损失函数如公式1,5,6,7,8
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing	PointWeb：基于局部邻域功能增强的点云处理
Scan2Mesh: From Unstructured Range Scans to 3D Meshes	Scan2Mesh：从非结构化范围扫描到三维网格
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning	利用对抗学习实现基于无监督域自适应的ToF数据去噪
Learning Independent Object Motion From Unlabelled Stereoscopic Videos	从未标记的立体视频中学习独立物体运动
Learning Single-Image Depth From Videos Using Quality Assessment Networks	使用质量评估网络从视频中学习单个图像深度
Learning 3D Human Dynamics From Video	从视频中学习三维人体动力学
Lending Orientation to Neural Networks for Cross-View Geo-Localization	面向神经网络的跨视图地理定位研究
Visual Localization by Learning Objects-Of-Interest Dense Match Regression	通过感兴趣对象的密集匹配回归学习实现视觉定位
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction	双边循环约束与自适应正则化实现无监督单目深度预测
Face Parsing With RoI Tanh-Warping	用ROI正切弯曲实现人脸分析
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings	基于时空嵌入的多人关节跟踪
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information	基于增强通道和空间信息的多人姿态估计
A Compact Embedding for Facial Expression Similarity	基于紧凑嵌入的面部表情相似性
Deep High-Resolution Representation Learning for Human Pose Estimation	基于深度高分辨率表示学习的人体姿态估计
Feature Transfer Learning for Face Recognition With Under-Represented Data	欠表示数据下基于特征迁移学习的人脸识别
Unsupervised 3D Pose Estimation With Geometric Self-Supervision	基于几何自监督的无监督三维姿态估计
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos	展望未来：在视频中预测未来人的活动和地点
Re-Identification With Consistent Attentive Siamese Networks	用一致注意的孪生网络实现重识别
On the Continuity of Rotation Representations in Neural Networks	论神经网络中旋转表示的连续性
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation	基于迭代残差精化的联合光流和遮挡估计
Inverse Discriminative Networks for Handwritten Signature Verification	基于反向判别网络的手写签名验证
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces	Led3D：识别低质量三维人脸的一种轻量级和高效的深度方法
ROI Pooled Correlation Filters for Visual Tracking	用于视觉跟踪的ROI集合相关滤波器
Deep Video Inpainting	深度视频修复
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis	DM-GAN：基于动态存储GAN的文本-图像合成
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors	基于生成潜在最近邻的非对抗性图像合成
Mixture Density Generative Adversarial Networks	混合密度GAN
SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network	SketchGAN：基于GAN的联合草图补全与识别
Foreground-Aware Image Inpainting	前景感知的图像修补
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation	Art2Real：通过语义感知的图像-图像的翻译来展现艺术作品的真实性
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching	基于多尺度对抗相关匹配的保结构立体视图合成
DynTypo: Example-Based Dynamic Text Effects Transfer	DynTypo：基于示例的动态文本效果传输
Arbitrary Style Transfer With Style-Attentional Networks	基于样式注意力网络的任意样式转换
Typography With Decor: Intelligent Text Style Transfer	带装饰的印刷：智能文本样式转换
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion	基于增强学习代理控制GAN网络的实时点云形状补全
Photo Wake-Up: 3D Character Animation From a Single Photo	照片唤醒：来自单个照片的3D角色动画
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality	DeepLight：基于照明学习的无约束移动混合现实
Iterative Residual CNNs for Burst Photography Applications	迭代残差CNN在突发摄影中的应用
Learning Implicit Fields for Generative Shape Modeling	基于隐式域学习的生成形状建模
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach	可靠高效的图像裁剪：基于网格锚的方法
Patch-Based Progressive 3D Point Set Upsampling	基于Patch的渐进式三维点集上采样
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection	一种迭代协作的自顶向下和自下而上的显著目标检测推理网络
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring	用于图像去模糊的深度层级多Patch网络
Turn a Silicon Camera Into an InGaAs Camera	把硅相机变成InGaAs相机
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms	由可逆线性变换诱导的新张量核模实现低阶张量完备
Joint Representative Selection and Feature Learning: A Semi-Supervised Approach	联合代表选择与特征学习：一种半监督方法
The Domain Transform Solver	域变换求解器
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection	CapSal：利用字幕增强语义实现显著目标检测
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring	基于纯相位图像的核估计实现单图像盲去模糊
Hierarchical Discrete Distribution Decomposition for Match Density Estimation	基于层次离散分布分解的匹配密度估计
FOCNet: A Fractional Optimal Control Network for Image Denoising	一种用于图像去噪的分数阶最优控制网络	所谓“控制网络”就是将一类特殊的深度网络（满足公式1）解释为给定初始状态的动态系统（公式2）。然后求解这个动态系统的最优参数（及网络参数）
Orthogonal Decomposition Network for Pixel-Wise Binary Classification	像素级二元分类的正交分解网络
Multi-Source Weak Supervision for Saliency Detection	多源弱监督的显著性检测
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples	一种有效的图像压缩模型来防御对抗性的例子
Combinatorial Persistency Criteria for Multicut and Max-Cut	基于组合持久性准则的多Cut和最大Cut
S4Net: Single Stage Salient-Instance Segmentation	S4Net：单阶段显著实例分割
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem	稀疏广义特征值问题的分解算法
Polynomial Representation for Persistence Diagram	持久图的多项式表示
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks	基于网格编码-译码器网络的人群计数和密度估计
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface	利用交叉图集卷积实现纹理网格表面的参数化不变学习
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion	基于层次化RGB-D融合的深度表面法向估计
Knowledge-Embedded Routing Network for Scene Graph Generation	用于场景图生成的知识嵌入式路由网络
An End-To-End Network for Panoptic Segmentation	一种用于全光分割的端到端网络
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models	基于深度卷积生成模型的快速灵活的室内场景合成
Marginalized Latent Semantic Encoder for Zero-Shot Learning	用于零镜头学习的边缘化潜在语义编码器
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation	尺度自适应神经密集特征：基于层次上下文聚合的学习
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature	基于不变量和扩展实例特征的无监督嵌入学习
AOGNets: Compositional Grammatical Architectures for Deep Learning	AOGNets：用于深度学习的复合语法体系结构
A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures	用于非刚性形状与不相容形状结构匹配的鲁棒局部谱描述符
Context and Attribute Grounded Dense Captioning	上下文和属性固定的密集字幕
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification	斑点与学习：基于最大熵Patch采样的少镜头图像分类
Interpreting CNNs via Decision Trees	通过决策树解释CNN
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning	密集关系字幕：基于三流网络的关系字幕
Deep Modular Co-Attention Networks for Visual Question Answering	基于深度模块化协同注意网络的视觉问答
Synthesizing Environment-Aware Activities via Activity Sketches	通过活动草图的环境感知活动合成
Self-Critical N-Step Training for Image Captioning	基于自评N步训练的图像字幕
Multi-Target Embodied Question Answering	多目标体现问题问答
Visual Question Answering as Reading Comprehension	作为阅读理解的视觉问答
StoryGAN: A Sequential Conditional GAN for Story Visualization	StoryGAN：用于故事可视化的序列条件GAN
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion	噪声感知无监督深度激光-雷达立体融合
Versatile Multiple Choice Learning and Its Application to Vision Computing	多选择学习及其在视觉计算中的应用
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors	EV-Gait：动态视觉传感器中基于事件的鲁棒步态识别
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images	ToothNet：基于锥束CT图像的牙齿实例自动分割与识别
Modularized Textual Grounding for Counterfactual Resilience	反事实弹性的模块化文本基础
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving	L3-Net：面向自主驾驶的学习型激光雷达定位
Panoptic Feature Pyramid Networks	泛光特征金字塔网络
Mask Scoring R-CNN	模板评分R-CNN
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection	Reasoning-RCNN：将自适应全局推理统一到大规模目标检测中
Cross-Modality Personalization for Retrieval	交叉模态个性化检索
Composing Text and Image for Image Retrieval - an Empirical Odyssey	为图像检索组合文本和图像-一个经验Odyssey
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation	基于自适应文本区域表示的任意形状场景文本检测
Adaptive NMS: Refining Pedestrian Detection in a Crowd	自适应NMS：改进人群中的行人检测
Point in, Box Out: Beyond Counting Persons in Crowds	点进，框出：人群计数之外
Locating Objects Without Bounding Boxes	无需边界框的目标定位
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery	FineGAN：基于无监督层次分离的细粒度对象生成和发现
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification	基于残差校正的互补网络互学习实现半监督分类的改进
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects	稀疏注记对象的大尺度目标检测的抽样技术
Curls & Whey: Boosting Black-Box Adversarial Attacks	Curls与Whey：增强黑盒对抗性攻击
Barrage of Random Transforms for Adversarially Robust Defense	基于随机变换的拦河坝的对抗性防御
Aggregation Cross-Entropy for Sequence Recognition	基于聚集交叉熵的序列识别
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning	LaSO：用于多标签少镜头学习的标签集操作网络
Few-Shot Learning With Localization in Realistic Settings	在现实环境中定位的少镜头学习
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs	AdaGraph：通过图的统一预测和连续域自适应
Grounded Video Description	接地视频描述
Streamlined Dense Video Captioning	流线型密集视频字幕
Adversarial Inference for Multi-Sentence Video Description	多句视频描述的对抗推理
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations	统一的视觉-语义嵌入：利用结构化的意义表达将视觉和语言连接起来
Learning to Compose Dynamic Tree Structures for Visual Contexts	学习为视觉上下文构建动态树结构
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation	基于强化跨模态匹配与自监督模拟学习的视觉语言导航
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering	基于模式内和模式间注意力流动态融合的视觉问答
Cycle-Consistency for Robust Visual Question Answering	基于循环一致性的鲁棒视觉问答
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception	基于点云感知的真实感摄影环境中的具体问题解答
Reasoning Visual Dialogs With Structural and Partial Observations	基于结构和局部观察的视觉对话推理
Recursive Visual Attention in Visual Dialog	视觉对话中的递归视觉注意
Two Body Problem: Collaborative Visual Task Completion	二体问题：协同视觉任务补全
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering	GQA：一个新的数据集，用于现实世界的视觉推理和组合问题解答
Text2Scene: Generating Compositional Scenes From Textual Descriptions	Text2Scene：根据文本描述生成合成场景
From Recognition to Cognition: Visual Commonsense Reasoning	从识别到认知：视觉常识推理
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation	遗憾的代理人：通过进度估计的启发式辅助导航
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation	战术倒带：视觉-语言导航中的利用回溯进行自我修正
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning	学习如何学习：基于元学习的自适应视觉导航
High Flux Passive Imaging With Single-Photon Sensors	单光子传感器的高通量被动成像
Photon-Flooded Single-Photon 3D Cameras	光子淹没的单光子3D相机
Acoustic Non-Line-Of-Sight Imaging	声音的非视线成像
Steady-State Non-Line-Of-Sight Imaging	稳态非视线成像
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction	非视线形状重建的费马路径理论
End-To-End Projector Photometric Compensation	端到端投影仪光度补偿
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera	使用事件照相机以高帧速率激活模糊帧
Bringing Alive Blurred Moments	激活模糊的瞬间
Learning to Synthesize Motion Blur	学习合成运动模糊
Underexposed Photo Enhancement Using Deep Illumination Estimation	使用深度亮度估计的曝光不足照片增强
Blind Visual Motif Removal From a Single Image	从单个图像中盲视觉装饰删除
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising	非局部满足全局：高光谱图像去噪的一个综合范例
Neural Rerendering in the Wild	野外环境下神经再分化
GeoNet: Deep Geodesic Networks for Point Cloud Analysis	GeoNet：基于深度测地线网络的点云分析
MeshAdv: Adversarial Meshes for Visual Recognition	MeshAdv：用于视觉识别的对抗性网格
Fast Spatially-Varying Indoor Lighting Estimation	快速空间变化的室内亮度估计
Neural Illumination: Lighting Prediction for Indoor Environments	神经照明：室内环境的照明预测
Deep Sky Modeling for Single Image Outdoor Lighting Estimation	单图像室外照明估计的深度天空建模
Bidirectional Learning for Domain Adaptation of Semantic Segmentation	基于域自适应双向学习的语义分割	基于域自适应弱监督语义分割：两个子网（有标签的源到无标签目标的translate网，及目标域的语义分割网），传统的方法是先从源到目标，再训练。本文方法是translate与分割两个子网之间双向训练（影响）
Enhanced Bayesian Compression via Deep Reinforcement Learning	通过深度强化学习增强贝叶斯压缩
Strong-Weak Distribution Alignment for Adaptive Object Detection	基于强-弱分布对齐的自适应目标检测
MFAS: Multimodal Fusion Architecture Search	多模式融合体系结构搜索
Disentangling Adversarial Robustness and Generalization	脱离对抗的鲁棒性和泛化
ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness	ShieldNets：使用概率对抗鲁棒性防御对抗攻击
Deeply-Supervised Knowledge Synergy	深度监督知识协同
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration	利用配对操作的潜力进行图像恢复的对偶残差网络	将残差块内的操作设计（分割）为两个对偶的操作（文中定义了4种对偶操作，Fig.4），然后将残差块设计为如图1d的方式，意图是充分开发对偶操作的潜能（传统的方式没有对偶的概念，如Fig.1a）。 文中针对五种常见图像恢复问题，采用Fig.4提出的不同对偶操作，定义不同的残差块，来实现图像恢复
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels	基于概率端到端噪声校正的带噪声标签学习
Attention-Guided Unified Network for Panoptic Segmentation	基于注意引导统一网络的全光分割
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	NAS-FPN：通过金字塔结构的可扩展特征学习实现对象检测
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks	信道外稀疏正则化实现紧凑型深度神经网络
Semantically Aligned Bias Reducing Zero Shot Learning	语义一致偏差减少的零镜头学习
Feature Space Perturbations Yield More Transferable Adversarial Examples	特征空间扰动产生更多可转移的对抗性例子
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction	IGE-Net：用于人体姿态估计和单视图重建的逆图形能量网络
Accelerating Convolutional Neural Networks via Activation Map Compression	通过激活映射压缩加速卷积神经网络
Knowledge Distillation via Instance Relationship Graph	基于实例关系图的知识提取
PPGNet: Learning Point-Pair Graph for Line Segment Detection	PPGNet：用于线段分割检测的点对图学习
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling	基于多项式池化的细节敏感语义分割网络的构建	提出了一个（适用于语义分割）的，介于平均池化和最大池化之间的多项式池化（公式1），并对其进行分析和实验
Variational Bayesian Dropout With a Hierarchical Prior	具有层次先验的变分贝叶斯Dropout
AANet: Attribute Attention Network for Person Re-Identifications	AANet：用于人重识别的属性注意网络
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction	克服混合密度网络的局限性：多模式未来预测的抽样和拟合框架
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks	简化二元神经网络的主/子网络框架
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet	PointNetLk：使用PointNet的健壮高效的点云配准
Few-Shot Adaptive Faster R-CNN	少镜头自适应快速R-CNN
VRSTC: Occlusion-Free Video Person Re-Identification	VRSTC：无遮挡视频人重识别
Compact Feature Learning for Multi-Domain Image Classification	多域图像分类的压缩特征学习
Adaptive Transfer Network for Cross-Domain Person Re-Identification	跨域人再识别的自适应传输网络
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy	大规模少镜头学习：具有类层次的知识转移
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition	基于张量低阶不变稀疏分解的光照不连续变化下运动目标检测
Pedestrian Detection With Autoregressive Network Phases	基于自回归网络相位的行人检测
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification	你所需要的只是一些转变：为图像分类设计高效的卷积神经网络
Stochastic Class-Based Hard Example Mining for Deep Metric Learning	随机的基于类的硬实例挖掘实现深度度量学习
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning	基于局部描述子的图像-类测度实现少镜头学习
Towards Robust Curve Text Detection With Conditional Spatial Expansion	基于条件空间扩展的鲁棒曲线文本检测
Revisiting Perspective Information for Efficient Crowd Counting	基于透视信息的有效的人群计数
Towards Universal Object Detection by Domain Attention	基于域关注的通用目标检测
Ensemble Deep Manifold Similarity Learning Using Hard Proxies	基于硬代理的集成深度流形相似性学习
Quantization Networks	量化网络
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices	一种低秩矩阵恢复的可扩展方法
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks	Occlusion-Net：使用图形网络进行二维/三维遮挡关键点定位
Efficient Featurized Image Pyramid Network for Single Shot Detector	单镜头探测器的高效特征图像金字塔网络
Multi-Task Multi-Sensor Fusion for 3D Object Detection	用于三维目标检测的多任务多传感器融合
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation	用于无监督域适应的特定域批处理规范化
Grid R-CNN	网格R-CNN
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition	元清洗器：用于噪声标签视觉识别的幻觉干净表示学习
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map	利用视觉特征和地图进行基于地图绘制、定位和路径规划的图像导航
Triply Supervised Decoder Networks for Joint Detection and Segmentation	用于联合检测和分割的三重监督解码器网络
Leveraging the Invariant Side of Generative Zero-Shot Learning	利用生成零镜头学习的不变边
Exploring the Bounds of the Utility of Context for Object Detection	探索上下文在目标检测中的应用边界
A-CNN: Annularly Convolutional Neural Networks on Point Clouds	A-CNN：点云上的环形卷积神经网络
DARNet: Deep Active Ray Network for Building Segmentation	用于建筑物分割的深度主动射线网络
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning	基于图结构深度度量学习的点云过分割
Graphonomy: Universal Human Parsing via Graph Transfer Learning	笔迹学：通过图迁移学习的通用人类分析
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage	用多类级联T-连杆实现多个异构模型拟合
A Late Fusion CNN for Digital Matting	用于数字抠图的后期融合CNN
BASNet: Boundary-Aware Salient Object Detection	BASNet：边界感知显著目标检测
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation	ZigZagNet：融合自上而下和自下而上的上下文进行对象分割
Object Instance Annotation With Deep Extreme Level Set Evolution	基于深度极值水平集演化的对象实例注释
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery	利用众包GPS数据从航空影像中提取道路
Adaptive Pyramid Context Network for Semantic Segmentation	用于语义分割的自适应金字塔上下文网络	研究Content信息在语义分割中的作用，指出context信息的使用应满足三个特点：1. 多尺度；2. 自适应；3. 全局引导局部Affinity（两两相关），并提出ACM（自适应Context模块，见图2），从中可见，多尺度、自适应（体现在其Affinity矩阵是学习而来的），全局引导局部Affinity（矩阵相乘）
Isospectralization, or How to Hear Shape, Style, and Correspondence	同构，或如何听到形状、风格和对应
Speech2Face: Learning the Face Behind a Voice	Speech2Face：学习声音背后的表情
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations	联合流形扩散用于解耦合观测的组合预测
Audio Visual Scene-Aware Dialog	视听的场景感知对话
Learning to Minify Photometric Stereo	学习缩小光度立体
Reflective and Fluorescent Separation Under Narrow-Band Illumination	窄带照明下的反射和荧光分离
Depth From a Polarisation + RGB Stereo Pair	基于极化+RGB立体配对的深度
Rethinking the Evaluation of Video Summaries	对视频摘要评价的再思考
What Object Should I Use? - Task Driven Object Detection	我应该使用什么对象？-任务驱动的对象检测
Triangulation Learning Network: From Monocular to Stereo 3D Object Detection	三角测量学习网络：从单目到立体三维目标检测
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation	连接点：主动单目深度估计的学习表示法
Learning Non-Volumetric Depth Fusion Using Successive Reprojections	利用连续重投影学习非体积深度融合
Stereo R-CNN Based 3D Object Detection for Autonomous Driving	基于立体R-CNN的自主驾驶三维目标检测
Hybrid Scene Compression for Visual Localization	用于视觉定位的混合场景压缩
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction	多尺度回归网络在无约束人脸重建中的应用
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis	三维运动分解在RGBD未来动态场景合成中的应用
Single Image Depth Estimation Trained via Depth From Defocus Cues	利用离焦线索实现基于深度的单图像深度估计训练
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion	基于RGBD的维度分解残差分解网络实现三维语义场景补全
Neural Scene Decomposition for Multi-Person Motion Capture	基于神经场景分解的多人运动捕捉
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition	对人脸识别的基于决策的黑盒对抗攻击
FA-RPN: Floating Region Proposals for Face Detection	FA-RPN：基于浮动区域建议的人脸检测
Bayesian Hierarchical Dynamic Model for Human Action Recognition	基于贝叶斯层次动态模型的人类行为识别
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation	混合效应神经网络及其在凝视估计中的应用
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training	基于时间卷积和半监督训练的视频三维人体姿态估计
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision	学习在没有3D监控的情况下从图像中回归3D人脸形状和表情
PoseFix: Model-Agnostic General Human Pose Refinement Network	PoseFix：模型不可知论通用人体姿势优化网络
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation	RepNet：用于三维人体姿态估计的弱监督训练对抗性再投射网络
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views	多视图多人三维姿态快速鲁棒估计
Face-Focused Cross-Stream Network for Deception Detection in Videos	面向人脸的交叉流网络实现视频欺骗检测
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data	利用非均匀训练实现长尾噪声数据下人脸识别
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor	T-Net：用一个高阶张量参数化全卷积网
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss	基于动态像素级损失的层次化跨模态说话人脸生成
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video	基于目标中心自动编码器和虚拟异常的视频异常事件检测
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition	DDLSTM：基于双域LSTM的跨数据集动作识别
The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos	利弊：等级感知的时间关注实现长视频中技能决定
Collaborative Spatiotemporal Feature Learning for Video Action Recognition	基于协同时空特征学习的视频动作识别
MARS: Motion-Augmented RGB Stream for Action Recognition	MARS：用于动作识别的运动增强RGB流
Convolutional Relational Machine for Group Activity Recognition	用于群体活动识别的卷积关系机
Video Summarization by Learning From Unpaired Data	从未配对数据中学习视频摘要
Skeleton-Based Action Recognition With Directed Graph Neural Networks	利用有向图神经网络实现基于骨架的动作识别
PA3D: Pose-Action 3D Machine for Video Recognition	PA3D：基于姿势动作3D机的视频识别
Deep Dual Relation Modeling for Egocentric Interaction Recognition	基于深度对偶关系模型的自我中心交互识别
MOTS: Multi-Object Tracking and Segmentation	多目标跟踪与分割	1. 提出了同时跟踪与（像素级）分割的（训练）数据库 2. 提出了跟踪组分割过程中的距离测量方法 3. 提出了基于Mask-RCNN的检测、分割方法 该算法是每帧检测，然后link检测结果 代码：https://www.vision.rwth-aachen.de/page/mots
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking	基于孪生级联区域建议网络的实时视觉跟踪
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds	PointFlowNet：点云刚性运动估计的表示法学习
Listen to the Image	听图像
Image Super-Resolution by Neural Texture Transfer	基于神经纹理传递的图像超分辨率
Conditional Adversarial Generative Flow for Controllable Image Synthesis	基于条件对抗生成流的可控图像合成
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model	如何制作披萨：学习基于合成层的GAN模型
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation	TransGaGa：几何感知无监督图像到图像的翻译
Depth-Attentional Features for Single-Image Rain Removal	基于深度注意特征的单图像雨水去除
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior	基于深度空-谱先验的高光谱图像重建
LiFF: Light Field Features in Scale and Depth	LiFF：在尺度和深度上的光场特征
Deep Exemplar-Based Video Colorization	深度基于示例的视频着色
On Finding Gray Pixels	关于寻找灰色像素
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos	UnOS：通过观看视频进行统一的无监督光流和立体深度估计
Learning Transformation Synchronization	学习转换同步
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features	D2-Net：用于联合描述和检测局部特征的一个可训练的CNN
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring	视频去模糊的帧内迭代递归神经网络
Learning to Extract Flawless Slow Motion From Blurry Videos	学习从模糊的视频中提取完美的慢动作
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination	利用显式的自然流形识别实现自然与真实的单图像超分辨率
RF-Net: An End-To-End Image Matching Network Based on Receptive Field	RF-Net：基于接收场的端到端图像匹配网络
Fast Single Image Reflection Suppression via Convex Optimization	基于凸优化的快速单图像反射抑制
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision	一种多监督交织的显著目标检测互学习方法
Enhanced Pix2pix Dehazing Network	增强型Pix2Pix去雾网络
Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering	通过图像特征和协同滤波实现个人感知图像质量评估
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements	利用不对齐训练数据和网络增强实现单一图像反射消除
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation	利用关系的上下文和视觉模式实现场景图形生成
Learning From Synthetic Data for Crowd Counting in the Wild	合成数据学习实现野外群体计数
A Local Block Coordinate Descent Algorithm for the CSC Model	CSC模型的局部块坐标下降算法
Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation	不使用汽车看人行道--在分类和分割中量化和控制上下文的影响
Discovering Fair Representations in the Data Domain	发现数据域中的公平表示
Actor-Critic Instance Segmentation	演员评论实例分割
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders	基于变分自编码器对齐的广义零镜头和少镜头学习
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation	零标签和少标签语义分割的语义投影网络	零镜头或少镜头的语义分割，网络结构如图2
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation	无监督域适应的图卷积对抗网络
Seamless Scene Segmentation	无缝场景分割
Unsupervised Image Matching and Object Discovery as Optimization	无监督图像匹配和目标发现优化
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs	通过地面密度图和多视图融合CNN实现广域人群计数
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions	显示、控制和讲述：生成可控和固定字幕的框架
Towards VQA Models That Can Read	面向可读取的VQA模型
Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning	基于双向时间图的对象感知聚合实现视频字幕
Progressive Attention Memory Network for Movie Story Question Answering	基于渐进式注意力记忆网络的电影故事问答
Memory-Attended Recurrent Network for Video Captioning	基于内存参与循环网络的视频字幕
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning	基于实体属性图匹配推理的视觉问答
Look Back and Predict Forward in Image Captioning	基于回顾与预测的图像字幕
Explainable and Explicit Visual Reasoning Over Scene Graphs	基于场景图的可解释和显式视觉推理
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering	通过无监督任务发现的迁移学习以进行视觉问答
Intention Oriented Image Captions With Guiding Objects	带有引导对象的意向性图像标题
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining	基于不确定性的循环旋转CNN多尺度残差学习实现单图像去雨
Toward Realistic Image Compositing With Adversarial Learning	基于对抗学习的现实图像组合
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics	交叉分类聚类：一种有效的连接体三维实例分割多目标跟踪技术
Deep ChArUco: Dark ChArUco Marker Pose Estimation	Deep ChArUco：基于暗ChArUco标记的姿态估计
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving	基于视觉深度估计的伪激光雷达：在自主驾驶的三维目标检测中架起桥梁
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions	道路规则：用语义交互卷积模型预测驾驶行为
Metric Learning for Image Registration	图像配准的度量学习
LO-Net: Deep Real-Time Lidar Odometry	LO-Net：深度实时激光雷达里程计
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions	TraPHic：基于加权相互作用的密集和非均匀交通中的轨道预测
World From Blur	模糊世界
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering	基于结构相似性测度和优势集聚类的图像树型结构拓扑重构
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training	基于多损失动态训练的金字塔人再识别
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology	对不同CT图像的临床重要发现的整体和全面注释：从放射学报告和标记本体学学习
Robust Histopathology Image Analysis: To Label or to Synthesize?	鲁棒的组织病理学图像分析：贴标签还是合成？
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation	利用学习变换进行单镜头医学图像分割的数据增强
Shifting More Attention to Video Salient Object Detection	将更多的注意力转移到视频显著物体检测上
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration	神经任务图：从单个视频演示中归纳为未看到的任务
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry	超越追踪：利用选择记忆和调整姿势实现深度视觉里程计
Image Generation From Layout	从布局生成图像
Multimodal Explanations by Predicting Counterfactuality in Videos	利用视频中反事实预测实现多模态解释
Learning to Explain With Complemental Examples	学习用互补的例子解释
HAQ: Hardware-Aware Automated Quantization With Mixed Precision	利用混合精度实现硬件感知的自动量化
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels	神经成像管道的内容认证：复杂分布通道中端到端的光源优化
Inverse Procedural Modeling of Knitwear	针织品的逆过程建模
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video	从单目视频估计人-物交互的三维运动和力
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds	DeepMapping：多点云的无监督地图估计
End-To-End Interpretable Neural Motion Planner	端到端可解释神经运动规划器
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model	基于发散三角形的生成模型、能量模型和推理模型联合训练
Image Deformation Meta-Networks for One-Shot Learning	基于图像变形元网络的单镜头学习
Online High Rank Matrix Completion	在线高阶矩阵补全
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds	复杂背景下利用多光谱成像实现粉末的细粒度识别
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging	ContactDB：通过热成像分析和预测抓握接触
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling	具有独立和分段一致分布噪声建模的鲁棒子空间聚类
What Correspondences Reveal About Unknown Camera and Motion Models?	关于未知的摄像机和运动模型，有什么通讯揭示？
Self-Calibrating Deep Photometric Stereo Networks	自校准深度光度立体网络
Argoverse: 3D Tracking and Forecasting With Rich Maps	Argoverse：用丰富的地图进行三维跟踪和预测
Side Window Filtering	侧窗滤波	一种保边缘/结构的滤波窗设计（图2）。将待处理的像素放到边缘（而不是中心）。这个方法有利于保边缘，但是降噪能力估计有所下降（根据公式4，若在平坦区，则必然下降）
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search	使用网络规模的最近邻搜索防御敌对图像
Incremental Object Learning From Contiguous Views	从相邻视图进行增量对象学习
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition	IP102：昆虫害虫识别的大规模基准数据集
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification	CityFlow：多目标多摄像机车辆跟踪与再识别的城市尺度基准
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence	Social-IQ：人工社会智能的问答基准
UPSNet: A Unified Panoptic Segmentation Network	统一全光分割网络
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields	JSIS3D：基于多任务点态网络和多值条件随机域的三维点云联合语义实例分割
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth	联合优化空间嵌入和聚类带宽的实例分割	基于聚类的（proposal-free）实例分割方法的改进，如图2，两个分支，一个分支用于预测object center（seed branch），另一个分支用于使用object center来预测实例图。本文关注对于不同大小实例采用不同margin（传统方法为相同margin）的改进算法
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection	DeepCO3：基于共峰搜索和共显著性检测的深度实例共分割
Improving Semantic Segmentation via Video Propagation and Label Relaxation	通过视频传播和标签松弛改进语义分割
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video	一种用于视频语义分割的校正融合网络
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes	Shape2Motion：三维形状的运动部件和属性的联合分析
Semantic Correlation Promoted Shape-Variant Context for Segmentation	语义关联促进的形状变量上下文实现分割
Relation-Shape Convolutional Neural Network for Point Cloud Analysis	基于关系-形状卷积神经网络的点云分析
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network	利用交叉-集成网络提高离焦模糊探测器的多样性
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames	BubbleNets：通过深度排序帧实现视频对象分割中的制导帧选择学习
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images	用于超高分辨率图像内存高效分割的协作全局-局部网络
Efficient Parameter-Free Clustering Using First Neighbor Relations	基于第一邻域关系的高效无参数聚类
Learning Personalized Modular Network Guided by Structured Knowledge	基于结构化知识的个性化模块化网络学习
A Generative Appearance Model for End-To-End Video Object Segmentation	端到端视频对象分割的生成性外观模型
A Flexible Convolutional Solver for Fast Style Transfers	用于快速样式转换的灵活卷积求解器
Cross Domain Model Compression by Structurally Weight Sharing	基于结构化权值共享的跨域模型压缩
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning	TraVelGAN：通过变换矢量学习实现图像-图像的翻译
Deep Robust Subjective Visual Property Prediction in Crowdsourcing	众包中的深度鲁棒主观视觉特性预测
Transferable AutoML by Model Sharing Over Grouped Datasets	分组数据集上模型共享实现可转移AutoML
Learning Not to Learn: Training Deep Neural Networks With Biased Data	学习不学习：用有偏数据训练深度神经网络
IRLAS: Inverse Reinforcement Learning for Architecture Search	IRLAS：建筑搜索的逆强化学习
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences	基于随机推理的深度神经网络实现单镜头置信度校正学习
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions	在未知组合失真的情况下，基于注意的自适应选择实现图像复原
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks	基于完全可学习群卷积的深度神经网络加速
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch	神经网络结构从头搜索的生态激励遗传方法
Deep Incremental Hashing Network for Efficient Image Retrieval	基于深度增量哈希网络的高效图像检索
Robustness via Curvature Regularization, and Vice Versa	通过曲率正则化的鲁棒性，反之亦然。
SparseFool: A Few Pixels Make a Big Difference	SparseFool：几个像素会产生很大的差异
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks	卷积神经网络的可解释和细粒度可视化解释
Structured Pruning of Neural Networks With Budget-Aware Regularization	基于预算感知正则化的神经网络结构剪枝
MBS: Macroblock Scaling for CNN Model Reduction	MBS:基于宏块缩放的CNN模型缩减
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	基于辅助单元的紧凑语义分割模型的快速神经结构搜索	用于语义分割的神经网络结构搜索方法（图1）
Generating 3D Adversarial Point Clouds	生成三维对抗点云
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search	部分顺序修剪：在神经架构搜索中实现最佳速度/精度权衡
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics	记忆中的记忆：从时空动力学中学习高阶非平稳性的预测神经网络
Variational Information Distillation for Knowledge Transfer	基于变分信息蒸馏的知识转移
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs	你看了两遍：基于GaterNet的CNNs动态过滤器选择
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images	SpherePHD：将CNNs应用于360deg图像的球面多面体表示
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network	ESPNetv2：一种轻量、节能、通用的卷积神经网络
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors	激活的辅助激发：一种改进目标检测器的学习技术
Exploiting Edge Features for Graph Neural Networks	图神经网络边缘特征的开发
Propagation Mechanism for Deep and Wide Neural Networks	深度宽神经网络的传播机制
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks	灾难性的儿童游戏：易于执行，难以防御对抗性攻击
Embedding Complementary Deep Networks for Image Classification	基于嵌入互补深度网络的图像分类
Deep Multimodal Clustering for Unsupervised Audiovisual Learning	基于深度多模态聚类的无监督视听学习
Dense Classification and Implanting for Few-Shot Learning	密集分类和植入技术在少镜头学习中的应用
Class-Balanced Loss Based on Effective Number of Samples	基于有效样本数的类平衡损失
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning	利用空间一致性特征学习发现艺术藏品中的视觉模式
Min-Max Statistical Alignment for Transfer Learning	基于最小-最大统计对齐的迁移学习
Spatial-Aware Graph Relation Network for Large-Scale Object Detection	基于空间感知图形关系网络的大规模目标检测
Deformable ConvNets V2: More Deformable, Better Results	变形ConvNets v2：变形性更强，效果更好
Interaction-And-Aggregation Network for Person Re-Identification	用于人重识别的交互和聚合网络
Rare Event Detection Using Disentangled Representation Learning	基于分离表示学习的罕见事件检测
Shape Robust Text Detection With Progressive Scale Expansion Network	基于渐进式尺度扩展网络的形状鲁棒文本检测
Dual Encoding for Zero-Example Video Retrieval	零示例视频检索的双重编码
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors	MaxpoolNMS：消除两阶段目标检测器中的NMS瓶颈
Character Region Awareness for Text Detection	基于字符区域意识的文本检测
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features	基于多层次空间池化特征的有效美学预测
Attentive Region Embedding Network for Zero-Shot Learning	基于专注区域嵌入网络的零镜头学习
Explicit Spatial Encoding for Deep Local Descriptors	基于显式空间编码的深度局部描述符
Panoptic Segmentation	全光分割
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection	你得到你所播种的：使用视频生成高精度目标建议实现弱监督目标检测
Explore-Exploit Graph Traversal for Image Retrieval	探索利用图遍历进行图像检索
Dissimilarity Coefficient Based Weakly Supervised Object Detection	基于相异系数的弱监督目标检测
Kernel Transformer Networks for Compact Spherical Convolution	基于核变换网络的紧凑球形卷积
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering	基于位置感知的可变形卷积和反向注意滤波的目标检测
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images	变分原型编码器：基于原型图像的单镜头学习
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss	使用特征白化和共识损失的无监督域适应
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation	FEELVOS：视频对象分割的快速端到端嵌入学习
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation	PartNet：一种用于细粒度层次形状分割的递归零件分解网络
Learning Multi-Class Segmentations From Single-Class Datasets	从单类数据集中学习多类分割
Convolutional Recurrent Network for Road Boundary Extraction	用于道路边界提取的卷积递归网络
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation	面向实时语义分割的深度特征聚合	网络结构如图3，分为子网络特征聚合和子阶段特征聚合（如图2），速度比较快（100FPS）
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation	一种鲁棒语义分割的跨季节对应数据集	相同场景，不同季节的数据集，如图2，每对图像创建对应点
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features	ManTra-Net：用于检测和定位具有异常特征的图像伪造的操纵跟踪网
On Zero-Shot Recognition of Generic Objects	关于一般对象的零镜头识别
Explicit Bias Discovery in Visual Question Answering Models	视觉问答模型中的显式偏差发现
REPAIR: Removing Representation Bias by Dataset Resampling	REPAIR：通过数据集重采样消除表示偏差
Label Efficient Semi-Supervised Learning via Graph Filtering	基于图过滤的标签高效半监督学习
MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection	MVTec AD——一个用于无监督异常检测的综合现实数据集
ABC: A Big CAD Model Dataset for Geometric Deep Learning	一个用于几何深度学习的大型CAD模型数据集
Tightness-Aware Evaluation Protocol for Scene Text Detection	基于紧密性感知评估协议的场景文本检测
PointConv: Deep Convolutional Networks on 3D Point Clouds	PointConv：三维点云上的深度卷积网络
Octree Guided CNN With Spherical Kernels for 3D Point Clouds	用于三维点云的具有球形核的八叉树引导的CNN
VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points	VITAMIN-E：具有极其密集特征点的视觉跟踪和绘图
Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction	基于条件单视图形状生成的多视图立体重建
Learning to Adapt for Stereo	基于学习适应的立体
3D Appearance Super-Resolution With Deep Learning	基于深度学习的三维外观超分辨率
Radial Distortion Triangulation	径向畸变三角测量
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes	基于点云的大规模室外场景重构
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment	三维多扫描对齐中用于微环闭合的最小解算器
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning	通过半参数学习用单台RGBD相机对人体进行体积捕获
Joint Face Detection and Facial Motion Retargeting for Multiple Faces	联合人脸检测与面部运动重定位实现多人脸
Monocular Depth Estimation Using Relative Depth Maps	基于相对深度图的单目深度估计
Unsupervised Primitive Discovery for Improved 3D Generative Modeling	基于无监督原始发现的三维生成建模改进
Learning to Explore Intrinsic Saliency for Stereoscopic Video	学习探索立体视频的内在显著性
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres	球面回归：学习N球体上的视点、曲面法线和三维旋转
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation	提炼：利用周期不一致性和知识蒸馏进行无监督单目深度估计
Learning View Priors for Single-View 3D Reconstruction	基于视图优先级学习的单视图三维重建
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation	基于几何感知对称域自适应的单目深度估计
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge	注入传统立体知识的单目深度估计学习
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception	语义实例辅助的无监督三维几何感知
3D Guided Fine-Grained Face Manipulation	三维引导的细粒度人脸操作
Neuro-Inspired Eye Tracking With Eye Movement Dynamics	利用眼球运动动力学进行神经刺激的眼球跟踪
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally	利用局部低阶标签相关进行面部情绪分布学习
Unsupervised Face Normalization With Extreme Pose and Expression in the Wild	利用野外极端姿势和表情实现无监督人脸标准化
Semantic Component Decomposition for Face Attribute Manipulation	基于语义成分分解的人脸属性操作
R3 Adversarial Network for Cross Model Face Recognition	基于R3对抗网络的跨模型人脸识别
Disentangling Latent Hands for Image Synthesis and Pose Estimation	分离潜手进行图像合成和姿态估计
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network	用混合密度网络实现基于多假设生成的三维人体姿态估计
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation	CrossInfoNet：基于多任务信息共享的手势估计
P2SGrad: Refined Gradients for Optimizing Deep Face Models	P2SGrad：基于梯度精化的深度人脸模型优化
Action Recognition From Single Timestamp Supervision in Untrimmed Videos	未剪辑视频中单时间戳监督的动作识别
Time-Conditioned Action Anticipation in One Shot	时间条件下的单镜头动作预期
Dance With Flow: Two-In-One Stream Action Detection	与流共舞：二合一流动作检测
Representation Flow for Action Recognition	基于表示流程的动作识别
LSTA: Long Short-Term Attention for Egocentric Action Recognition	基于长期短期关注的自我中心行为识别
Learning Actor Relation Graphs for Group Activity Recognition	基于参与者关系图学习的群体活动识别
A Structured Model for Action Detection	一种结构化的动作检测模型
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition	广义零镜头动作识别的失配检测
Object Discovery in Videos as Foreground Motion Clustering	作为前景运动聚类的视频中的对象发现
Towards Natural and Accurate Future Motion Prediction of Humans and Animals	人类和动物的自然和准确的未来运动预测
Automatic Face Aging in Videos via Deep Reinforcement Learning	通过深度强化学习实现视频中的自动面部老化
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection	面向人脸显示攻击检测的多对抗识别深度域生成
A Content Transformation Block for Image Style Transfer	基于内容转换块的图像样式转换
BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network	BeautyGlow：具有可逆生成网络的按需补给传输框架
Style Transfer by Relaxed Optimal Transport and Self-Similarity	基于松弛最优传输和自相似的风格转换
Inserting Videos Into Videos	将视频插入视频
Learning Image and Video Compression Through Spatial-Temporal Energy Compaction	基于时空能量压缩的图像和视频压缩学习
Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks	利用条件GAN实现基于事件的高动态范围图像和高帧速率视频生成
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification	基于增强TripleGAN的半监督条件实例合成与分类
Capture, Learning, and Synthesis of 3D Speaking Styles	捕捉、学习和合成3D口语风格
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks	用卷积神经网络对非结构化三维点云的正态估计
Ray-Space Projection Model for Light Field Camera	基于光线空间投影模型的光场相机
Deep Geometric Prior for Surface Reconstruction	基于深度几何先验的表面重建
Analysis of Feature Visibility in Non-Line-Of-Sight Measurements	非视线测量中特征可见度的分析
Hyperspectral Imaging With Random Printed Mask	基于随机打印掩模的高光谱成像
All-Weather Deep Outdoor Lighting Estimation	全天候深度室外照明估算
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring	基于自适应边缘选择的变分EM框架实现盲运动去模糊
Viewport Proposal CNN for 360deg Video Quality Assessment	视区建议CNN进行360deg视频质量评估
Beyond Gradient Descent for Regularized Segmentation Losses	超越梯度下降实现正则化分割损失
MAGSAC: Marginalizing Sample Consensus	MAGSAC：将样本共识边缘化
Understanding and Visualizing Deep Visual Saliency Models	深度视觉显著性模型的理解和可视化
Divergence Prior and Vessel-Tree Reconstruction	散度先验与血管树重建
Unsupervised Domain-Specific Deblurring via Disentangled Representations	通过分离表示的无监督特定域去模糊
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution	Douglas-Rachford网：基于图像先验和数据保真度学习的盲图像反卷积
Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras	利用速度不变时间曲面实现基于事件摄像机的角点检测
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior	没有GroundTruth和图像先验的情况下，利用欠采样测量实现基于深度学习的图像降噪。	D-AMP，利用降噪器来帮助恢复CS图像（Algo.1）。 LD-AMP，利用深度学习降噪（DnCNN）替换传统降噪器（如BM3D），因此称为Learning D-AMP。但是需要GT图像 MC-Stein无偏估计，利用无偏估计，替换真正的MSE，从而无需GT。 本文即为LD-AMP + MC-Stein无偏估计的组合，从而实现基于深度学习，但无需GT的CS图像恢复算法（Algo.2）
A Variational Pan-Sharpening With Local Gradient Constraints	基于局部梯度约束的变分平移锐化
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning	F-VAEGAN-D2：一个用于任意镜头学习的特征生成框架
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation	基于Wasserstein切片差异的无监督域适应
Graph Attention Convolution for Point Cloud Semantic Segmentation	基于图形注意卷积的点云语义分割
Normalized Diversification	规范化多元化
Learning to Localize Through Compressed Binary Maps	学习通过压缩二进制地图实现定位学习
A Parametric Top-View Representation of Complex Road Scenes	复杂道路场景的参数化顶视图表示
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction	基于视频剪辑顺序预测的自监督时空学习
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids	超四次曲面再探讨：学习立方体以外的三维形状解析
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network	利用变形生成网络实现外观和几何的无监督分离
Self-Supervised Representation Learning by Rotation Feature Decoupling	基于旋转特征解耦的自监督表示学习
Weakly Supervised Deep Image Hashing Through Tag Embeddings	通过标记嵌入的弱监督深度图像散列
Improved Road Connectivity by Joint Learning of Orientation and Segmentation	通过方向和分割的联合学习实现道路连通性的改善
Deep Supervised Cross-Modal Retrieval	深度监督跨模式检索
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning	三重损失理论上合理的上界对提高深度距离度量学习效率的作用
Data Representation and Learning With Graph Diffusion-Embedding Networks	基于图扩散-嵌入网络的数据表示与学习
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph	基于门控时空能量图的视频关系推理
Image-Question-Answer Synergistic Network for Visual Dialog	基于图像问答协同网络的视觉对话
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses	并非所有帧都相同：基于上下文相似和视觉聚类损失的弱监督视频背景估计	background estimation problem for videos captured by moving cameras, referred to as video grounding https://team.inria.fr/perception/research/cvvt2013/
Inverse Cooking: Recipe Generation From Food Images	逆向烹饪：从食物图像中生成食谱
Adversarial Semantic Alignment for Improved Image Captions	基于对抗性语义对齐的图像标注改进
Answer Them All! Toward Universal Visual Question Answering Models	全部回答！面向通用视觉问答模型
Unsupervised Multi-Modal Neural Machine Translation	无监督多模神经机器翻译
Multi-Task Learning of Hierarchical Vision-Language Representation	层次视觉语言表示的多任务学习
Cross-Modal Self-Attention Network for Referring Image Segmentation	用于参考图像分割的跨模态自注意网络
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction	DuDoNet:基于双域网络的CT金属伪影消除
Fast Spatio-Temporal Residual Network for Video Super-Resolution	基于快速时空残差网络的视频超分辨率
Complete the Look: Scene-Based Complementary Product Recommendation	完成外观：基于场景的补充产品推荐
Selective Sensor Fusion for Neural Visual-Inertial Odometry	基于选择性传感器融合的神经视觉惯性里程计
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes	不止一次看：任意形状文本的精确检测器
Learning Binary Code for Personalized Fashion Recommendation	基于二进制代码学习的个性化时尚推荐
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model	基于注意的青光眼检测：大型数据库和CNN模型
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery	使用深度和多视图图像的街景全景中的隐私保护
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles	自动驾驶车辆的人-车建议接地
Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks	基于递归神经网络的占用率网格图多步预测
Connecting Touch and Vision via Cross-Modal Prediction	通过跨模式预测连接触摸和视觉
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks	X2CT-GAN：用GAN从双平面X射线重建CT
Practical Full Resolution Learned Lossless Image Compression	实用的全分辨率学习无损图像压缩
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation	基于群体式深度美白和着色变换的图像-图像翻译
Max-Sliced Wasserstein Distance and Its Use for GANs	最大切块Wasserstein距离及其在GAN上的应用
Meta-Learning With Differentiable Convex Optimization	基于可微凸优化的元学习
RePr: Improved Training of Convolutional Filters	卷积滤波器的改进训练
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning	正切正态对抗正则化的半监督学习
Auto-Encoding Scene Graphs for Image Captioning	基于自编码场景图的图像字幕
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech	部分语音引导下快速、多样、准确的图像字幕
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation	注意力分支网络：基于注意力机制学习的视觉解释
Cascaded Projection: End-To-End Network Compression and Acceleration	级联投影：端到端网络压缩和加速
DeepCaps: Going Deeper With Capsule Networks	DeepCaps：胶囊网络的深入发展
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search	基于可微神经结构搜索的硬件感知高效ConvNet设计
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs	APDrawingGAN：利用层级GAN实现由面部照片生成艺术肖像画
Constrained Generative Adversarial Networks for Interactive Image Generation	用于交互式图像生成的约束GAN
WarpGAN: Automatic Caricature Generation	WarpGAN：自动漫画生成
Explainability Methods for Graph Convolutional Neural Networks	图卷积神经网络的可解释性方法
A Generative Adversarial Density Estimator	一种生成对抗密度估计
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates	SoDeep：一个排序深度网，用于学习排名损失代理
High-Quality Face Capture Using Anatomical Muscles	使用解剖肌肉进行高质量面部捕捉
FML: Face Model Learning From Videos	从视频中学习面部模型
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations	AdaCos：自适应缩放余弦逻辑实现以深度人脸表示的有效学习
3D Hand Shape and Pose Estimation From a Single RGB Image	单个RGB图像的三维手形和姿势估计
3D Hand Shape and Pose From Images in the Wild	从野外图像中获取的三维手形和姿势
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting	基于拟合训练的自监督三维手部姿态估计
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark	CrowdPose：有效的拥挤场景姿态估计和新的基准
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction	面向社会人工智能：三元交互中的非语言社会信号预测
HoloPose: Holistic 3D Human Reconstruction In-The-Wild	HoloPose：野外整体三维人体重建
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation	基于几何感知表示的三维人体姿态估计的弱监督发现
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations	基于显式二维特征和中间三维表示的野生人体姿态估计
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues	Slim DensePose：从稀疏的注释和运动提示中节俭地学习
Self-Supervised Representation Learning From Videos for Facial Action Unit Detection	基于视频自监督表示学习的面部动作单元检测
Combining 3D Morphable Models: A Large Scale Face-And-Head Model	组合三维可变形模型：大型面和头部模型
Boosting Local Shape Matching for Dense 3D Face Correspondence	增强局部形状匹配实现密集三维人脸对应
Unsupervised Part-Based Disentangling of Object Shape and Appearance	无监督基于部分的物体形状和外观分离
Monocular Total Capture: Posing Face, Body, and Hands in the Wild	单眼全捕获：在野外摆出面部、身体和手的姿势
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image	富有表现力的身体捕捉：来自单个图像的3D手、脸和身体
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera	神经RGB（R）D感知：来自摄像机的深度和不确定性
DAVANet: Stereo Deblurring With View Aggregation	DAVANet：基于视图聚合的立体去模糊
DVC: An End-To-End Deep Video Compression Framework	端到端深度视频压缩框架
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning	基于二阶相似正则化的局部描述符学习
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors	“Double-DIP”：通过耦合深图像先验进行无监督图像分解
Unprocessing Images for Learned Raw Denoising	未处理图像用于原始去噪学习
Residual Networks for Light Field Image Super-Resolution	基于残差网络的光场图像超分辨率
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers	基于自适应特征修正层的连续水平调制图像恢复
Second-Order Attention Network for Single Image Super-Resolution	基于二阶注意网络的单图像超分辨率
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations	魔鬼在边缘：从嘈杂的注释中学习语义边界
Path-Invariant Map Networks	路径不变映射网络
FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization	FilterReg：基于高斯滤波和扭曲参数化的鲁棒高效概率点集配准
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope	基于Birkhoff多面体黎曼结构的概率置换同步
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus	提升向量变分问题：基于几何测度理论和离散外部微积分的自然公式
A Sufficient Condition for Convergences of Adam and RMSProp	Adam与RMSProp收敛的一个充分条件
Guaranteed Matrix Completion Under Multiple Linear Transformations	多重线性变换下的保证矩阵完备
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm	基于块坐标Frank-Wolfe算法的最大后验推断
A Convex Relaxation for Multi-Graph Matching	基于凸松弛的多图匹配
Pixel-Adaptive Convolutional Neural Networks	像素自适应卷积神经网络
Single-Frame Regularization for Temporally Stable CNNs	基于单帧正则化的时域稳定CNN
An End-To-End Network for Generating Social Relationship Graphs	用于社会关系图生成的端到端网络
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset	元学习卷积神经结构实现基于混凝土缺陷桥图像集的多目标混凝土缺陷分类
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model	基于双线性回归模型的平台独立能量约束深度神经网络压缩
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization	SeerNet：通过低比特量化预测卷积神经网络特征图稀疏性
Defending Against Adversarial Attacks by Randomized Diversification	通过随机多样化防御对抗性攻击
Rob-GAN: Generator, Discriminator, and Adversarial Attacker	Rob-GAN：生成器、判别器和对抗攻击者
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion	用注释器混淆的正则化估计从噪声标签中学习
Task-Free Continual Learning	无任务连续学习
Importance Estimation for Neural Network Pruning	基于重要性估计的神经网络剪枝
Detecting Overfitting of Deep Generative Networks via Latent Recovery	通过潜在恢复检测深度生成网络的过拟合
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks	有限数据着色：通过内存增强网络实现少镜头着色
Characterizing and Avoiding Negative Transfer	表征和避免负迁移
Building Efficient Deep Neural Networks With Unitary Group Convolutions	利用一元群卷积构造高效的深度神经网络
Semi-Supervised Learning With Graph Learning-Convolutional Networks	基于图学习卷积网络的半监督学习
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning	学习记忆：基于突触可塑性驱动框架的持续学习
AIRD: Adversarial Learning Framework for Image Repurposing Detection	图像再定位检测的对抗性学习框架
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations	基于核化流形映射的对抗性扰动影响减少
Trust Region Based Adversarial Attack on Neural Networks	基于信任域的神经网络对抗攻击
PEPSI : Fast Image Inpainting With Parallel Decoding Network	PEPSI：基于并行解码网络的快速图像修复
Model-Blind Video Denoising via Frame-To-Frame Training	基于帧对帧训练的盲模型视频去噪
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization	基于级联组合优化的端到端高效表示学习
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation	用于三维室内导航的仿真实节点强化传输
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation	ChamNet：通过平台感知模型自适应实现高效网络设计
Regularizing Activation Distribution for Training Binarized Deep Networks	基于正则化激活分布的二值化深度网络训练
Robustness Verification of Classification Deep Neural Networks via Linear Programming	基于线性规划的分类深度神经网络鲁棒性验证
Additive Adversarial Learning for Unbiased Authentication	无偏认证的加性对抗学习
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation	用截断高斯近似同时优化三元神经网络的权值和量化器
Adversarial Defense by Stratified Convolutional Sparse Coding	分层卷积稀疏编码的对抗性防御
Exploring Object Relation in Mean Teacher for Cross-Domain Detection	利用中值教师中目标关系实现跨域检测
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning	判决潜在特征的层次分离实现零镜头学习
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network	R2GAN：基于生成对抗网络的跨模式配方检索
Rethinking Knowledge Graph Propagation for Zero-Shot Learning	基于知识图传播的零镜头学习中的再思考
Learning to Learn Image Classifiers With Visual Analogy	基于视觉类比的图像分类器学习
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection	Wally现在在哪里？基于深度生成和判别嵌入的新颖性检测
Weakly Supervised Image Classification Through Noise Regularization	基于噪声正则化的弱监督图像分类
Data-Driven Neuron Allocation for Scale Aggregation Networks	基于数据驱动神经元分配的尺度聚合网络
Graphical Contrastive Losses for Scene Graph Parsing	用于场景图分析的图形对比损失
Deep Transfer Learning for Multiple Class Novelty Detection	基于深度迁移学习的多类别新颖性检测
QATM: Quality-Aware Template Matching for Deep Learning	QATM：基于质量感知模板匹配的深度学习
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples	基于检索增强卷积神经网络的反对抗样例
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images	基于对抗网络的跨模式嵌入学习实现烹饪食谱和食物图像
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network	FastDraw：通过采用顺序预测网络解决车道检测的长尾问题
Weakly Supervised Video Moment Retrieval From Text Queries	基于文本查询的弱监督视频片段检索
Content-Aware Multi-Level Guidance for Interactive Instance Segmentation	基于内容感知多级指导的交互式实例分割
Greedy Structure Learning of Hierarchical Compositional Models	层次组合模型的贪婪结构学习
Interactive Full Image Segmentation by Considering All Regions Jointly	综合考虑所有区域的交互式全图像分割
Learning Active Contour Models for Medical Image Segmentation	医学图像分割中主动轮廓模型的学习
Customizable Architecture Search for Semantic Segmentation	基于可定制体系结构搜索的语义分割	强调可定制，即用户输入条件（限制），搜索满足用户条件的轻量级的网络结构。其条件（限制）体现在自定义的损失函数中。
Local Features and Visual Words Emerge in Activations	激活中局部特征和视觉词汇的出现
Hyperspectral Image Super-Resolution With Optimized RGB Guidance	基于优化RGB制导的高光谱图像超分辨率
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning	基于自适应置信平滑的广义零镜头学习
PMS-Net: Robust Haze Removal Based on Patch Map for Single Images	PMS网络：基于Patch图的鲁棒单图像雾去除
Deep Spherical Quantization for Image Search	基于深度球面量化的图像搜索
Large-Scale Interactive Object Segmentation With Human Annotators	带人工注释器的大规模交互式对象分割
A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images	基于真实荧光显微镜图像的泊松高斯去噪数据集
Task Agnostic Meta-Learning for Few-Shot Learning	基于任务不可知元学习的少镜头学习
Progressive Ensemble Networks for Zero-Shot Recognition	基于渐进集成网络的零镜头识别
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence	利用光学相干直接识别无视线物体
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning	数字病理学图集：深度学习的广义层次组织类型注释数据库
Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras	8点算法的扰动分析：宽FoV摄像机的一个实例研究
Robustness of 3D Deep Learning in an Adversarial Setting	对抗环境下三维深度学习的鲁棒性
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations	SceneCode：基于学习编码场景表示的单目密集语义重建
StereoDRNet: Dilated Residual StereoNet	StereoDRNet：扩张的残差立体网	流程框架见图2，文中在特征抽取、CostFiltering、回归、精化等几个子模块都有改进，主要有： 1. DR：CostFiltering中使用扩张卷积和残差 2. 特征抽取中使用Vortex池化 3. 精化阶段不仅考虑光度误差（公式4），同时考虑几何误差（公式5） 详细可见Contribution 中介绍
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation	球面对齐：基于全局最优球面混合对齐的相机姿态估计
Learning Joint Reconstruction of Hands and Manipulated Objects	手和被操纵物体的关节重建学习
Deep Single Image Camera Calibration With Radial Distortion	具有径向畸变的深度单像摄像机标定
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth	CAM-Convs：基于摄像机感知多尺度卷积的单视图深度
Translate-to-Recognize Networks for RGB-D Scene Recognition	基于转换到识别网络的RGB-D场景识别
Re-Identification Supervised Texture Generation	基于重新识别监督的纹理生成
Action4D: Online Action Recognition in the Crowd and Clutter	Action4D：人群和混乱中的在线动作识别
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction	利用精确建议和形状重建的单目三维目标检测
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks	利用基于小波的GAN实现属性感知人脸老化
Noise-Tolerant Paradigm for Training Face Recognition CNNs	利用抗噪声范式实现人脸识别CNN训练
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition	用于稳健人脸识别的低秩拉普拉斯-均匀混合模型
Generalizing Eye Tracking With Bayesian Adversarial Learning	基于贝叶斯逆学习的广义眼跟踪
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection	基于特定人形状正则化的局部关系学习实现人脸动作单元检测
Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer	利用残差排列等变层实现基于点对位置投票的手位估计
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis	通过注视重定向合成改进少镜头用户特定的注视适应
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition	AdaptiveFace：用于人脸识别的自适应边缘和采样
Disentangled Representation Learning for 3D Face Shape	三维人脸形状的分离表示学习
LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds	LBS自编码器：连接网格到点云的自监督拟合
PifPaf: Composite Fields for Human Pose Estimation	基于复合场的人体姿态估计
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection	基于过渡感知上下文网络的时空行为检测
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos	基于骨架轨迹规则学习的视频异常检测
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing	用于细粒度动作分析的局部时间双线性池化
Improving Action Localization by Progressive Cross-Stream Cooperation	通过渐进式跨流合作实现行动定位的改进
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition	双流自适应图卷积网络实现基于骨架的动作识别
A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition	基于神经网络的SPD流形学习实现基于骨架的手势识别
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition	大规模弱监督预训练实现视频动作识别
Learning Spatio-Temporal Representation With Local and Global Diffusion	利用局部和全局扩散实现时空表示学习
Unsupervised Learning of Action Classes With Continuous Temporal Embedding	利用连续时间嵌入实现动作类别的无监督学习
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering	Grassmann流形上基于双核范数的低秩表示的聚类
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction	SR-LSTM：基于LSTM状态精化的行人轨迹预测
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes	基于无监督深度极线流的静止或动态场景
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM	一种用于三维视觉惯性SLAM的高效Schmidt-EKF
A Neural Temporal Model for Human Motion Prediction	人类运动预测的神经时间模型
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction	上下文轨迹预测的多智能体张量融合
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation	基于坐标的纹理修补实现姿态引导的人体图像生成
On Stabilizing Generative Adversarial Training With Noise	通过噪声实现生成对抗训练稳定
Self-Supervised GANs via Auxiliary Rotation Loss	基于辅助旋转损失的自监督GAN
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture	纹理混合：一种纹理的可控合成和插值网络
Object-Driven Text-To-Image Synthesis via Adversarial Training	通过对抗性训练实现对象驱动的文本-图像合成
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination	放大检查：通过实例级判别增强视频插值
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions	通过标签相关/不相关维度分离出VAE的潜在空间
Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager	色散模糊的光谱重建：一种新型的光效光谱成像仪
Quasi-Unsupervised Color Constancy	准无监督颜色恒常性
Deep Defocus Map Estimation Using Domain Adaptation	基于域自适的深度失焦图估计
Using Unknown Occluders to Recover Hidden Scenes	使用未知遮挡物恢复隐藏场景
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation	竞争协作：深度、相机运动、光流和运动分割的联合无监督学习
Learning Parallax Attention for Stereo Image Super-Resolution	基于视差注意学习的立体图像超分辨率
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications	知道何时停止：符合输出尺寸规格的评估和验证
Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset	用高质量的真实雨量数据集实现基于空间注意的单一图像去雨
Focus Is All You Need: Loss Functions for Event-Based Vision	专注是你所需要的：基于事件的视觉的损失函数
Scalable Convolutional Neural Network for Image Compressed Sensing	基于可伸缩卷积神经网络的图像压缩感知
Event Cameras, Contrast Maximization and Reward Functions: An Analysis	事件摄像头、对比度最大化和奖励功能：分析
Convolutional Neural Networks Can Be Deceived by Visual Illusions	卷积神经网络可能被视觉错觉欺骗。
PDE Acceleration for Active Contours	基于PDE加速的主动轮廓
Dichromatic Model Based Temporal Color Constancy for AC Light Sources	基于双色模型的AC光源时域颜色恒定性
Semantic Attribute Matching Networks	语义属性匹配网络
Skin-Based Identification From Multispectral Image Data Using CNNs	利用CNN实现多光谱图像基于皮肤的识别
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks	深度卷积神经网络的Kronecker因子近似曲率大规模分布二阶优化
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments	将人类置于场景中：在3D室内环境中学习负担
PIEs: Pose Invariant Embeddings	PIEs:姿势不变嵌入
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning	高效任务分类与转移学习的表示相似性分析
Object Counting and Instance Segmentation With Image-Level Supervision	基于图像级监控的目标计数与实例分割
Variational Autoencoders Pursue PCA Directions (by Accident)	变分自编码器追踪PCA方向（意外）
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes	基于关系增强全卷积网络的航空场景语义分割
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping	时间变换网络：不变和判别时间扭曲的联合学习
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval	基于上下文信息的三维注意力图学习实现基于点云的检索
Depth Coefficients for Depth Completion	基于深度系数的深度补全
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection	多样化与匹配：一种面向对象检测的域自适应表示学习范式
Good News, Everyone! Context Driven Entity-Aware Captioning for News Images	好消息，各位！新闻图像的上下文驱动实体感知标注
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding	用于图像短语接地的多级多模态公共语义空间
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning	利用时空动态和语义属性丰富的视觉编码实现视频字幕
Pointing Novel Objects in Image Captioning	在图像字幕中指向新对象
Informative Object Annotations: Tell Me Something I Don't Know	信息对象注释：告诉我一些我不知道的事情
Engaging Image Captioning via Personality	通过个性吸引图像字幕
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention	通过间接干预的模仿学习实现基于语言辅助的视觉导航
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments	TOUCHDOWN：视觉街道环境中的自然语言导航和空间推理
A Simple Baseline for Audio-Visual Scene-Aware Dialog	音视频场景感知对话的简单基线
End-To-End Learned Random Walker for Seeded Image Segmentation	用于带种子图像分割的端到端随机游走学习
Efficient Neural Network Compression	有效的神经网络压缩
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms	乳腺X光片微钙化检测的级联生成与判别学习
C3AE: Exploring the Limits of Compact Model for Age Estimation	C3AE：探索用于年龄估计的紧致模型的极限
Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology	自适应加权多视场CNN在病理学语义分割中的应用
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images	用于道路驾驶图像实时语义分割的预训练ImageNet结构防御
Context-Aware Visual Compatibility Prediction	上下文感知视觉兼容性预测
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks	通过Sim-to-Sim实现Sim-to-Real：利用随机-基础适应网络实现数据高效的机器人抓取
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation	基于兴趣点网络的多视图二维/三维刚性配准实现跟踪和三角测量
Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation	上下文感知的空间-递归曲线结构分割
An Alternative Deep Feature Approach to Line Level Keyword Spotting	线级关键词定位的一种替代深度特征方法
Dynamics Are Important for the Recognition of Equine Pain in Video	动力学对于识别视频中的马疼痛很重要。
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving	自主驾驶中一种高效概率三维目标探测器
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds	机器视觉引导的3D医学图像压缩，实现云中高效传输和精确分割
PointPillars: Fast Encoders for Object Detection From Point Clouds	点柱：基于快速编码器的点云目标检测
Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views	利用N个视图上单特征对应实现非完整地面车辆的运动估计
From Coarse to Fine: Robust Hierarchical Localization at Large Scale	从粗到细：大规模的鲁棒层次定位
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data	利用多分辨率数据进行大尺度高分辨率土地覆盖图绘制
Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting	利用异构辅助任务来辅助人群计数

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