CVPR2020 论文

1. 点云/3D重建/SLAMD3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

论文：https://arxiv.org/abs/2003.03164
代码：https://github.com/XuyangBai/D3Feat

RPM-Net: Robust Point Matching using Learned Features
论文：https://arxiv.org/abs/2003.13479
代码：https://github.com/yewzijian/RPMNet

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
论文：https://arxiv.org/abs/2003.01060

Cascaded Refinement Network for Point Cloud Completion
论文：https://arxiv.org/abs/2004.03327
代码：https://github.com/xiaogangw/cascaded-point-completion

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
论文：https://arxiv.org/abs/2002.10876
代码：https://github.com/liruihui/PointAugment/

PF-Net: Point Fractal Network for 3D Point Cloud Completion
论文：https://arxiv.org/abs/2003.00410

Learning multiview 3D point cloud registration
论文：https://arxiv.org/abs/2001.05119

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
论文：https://arxiv.org/abs/2002.12212

In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
论文：https://arxiv.org/pdf/1911.11924.pdf

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
论文：https://arxiv.org/abs/1911.11236

C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
论文：https://arxiv.org/abs/1912.07009

Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
论文：https://arxiv.org/abs/2003.00287

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
论文：https://arxiv.org/abs/2003.01456

2. 人脸检测/识别/重建

Towards Universal Representation Learning for Deep Face Recognition
论文：https://arxiv.org/abs/2002.11841

Suppressing Uncertainties for Large-Scale Facial Expression Recognition
论文：https://arxiv.org/abs/2002.10392
代码：https://github.com/kaiwang960112/Self-Cure-Network

Face X-ray for More General Face Forgery Detection
论文：https://arxiv.org/pdf/1912.13458.pdf

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
论文：https://arxiv.org/abs/2004.00288
代码：https://github.com/HuangYG123/CurricularFace

Learning Meta Face Recognition in Unseen Domains
论文：https://arxiv.org/abs/2003.07733
代码：https://github.com/cleardusk/MFR

Searching Central Difference Convolutional Networks for Face Anti-Spoofing
论文：https://arxiv.org/abs/2003.04092
代码：https://github.com/ZitongYu/CDCN

Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
论文：https://arxiv.org/abs/2003.08124
代码：https://github.com/Hangz-nju-cuhk/Rotate-and-Render

AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
论文：https://arxiv.org/abs/2003.13845
代码：https://github.com/lattas/AvatarMe

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
论文：https://arxiv.org/abs/2003.13989
代码：https://github.com/zhuhao-nju/facescape

3. 人体关键点检测/姿态估计

Correlating Edge, Pose with Parsing
论文：https://arxiv.org/abs/2005.01431
代码：https://github.com/ziwei-zh/CorrPM

Distribution-Aware Coordinate Representation for Human Pose Estimation
论文：https://arxiv.org/abs/1910.06278
代码：https://github.com/ilovepose/DarkPose

VIBE: Video Inference for Human Body Pose and Shape Estimation
论文：https://arxiv.org/abs/1912.05656
代码：https://github.com/mkocabas/VIBE

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
论文：https://arxiv.org/abs/2004.04400

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
论文：https://arxiv.org/abs/1911.07524

Optimal least-squares solution to the hand-eye calibration problem
论文：https://arxiv.org/abs/2002.10838

Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
论文：https://arxiv.org/abs/2004.01166
代码：https://github.com/Healthcare-Robotics/bodies-at-rest

Distribution Aware Coordinate Representation for Human Pose Estimation
论文：https://arxiv.org/abs/1910.06278

Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation
论文：https://arxiv.org/abs/2002.11251
代码：https://github.com/vnmr/JointVideoPose3D

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
论文：https://arxiv.org/abs/2003.03972

Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
论文：https://arxiv.org/abs/2001.09691

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
论文：https://arxiv.org/abs/1911.04231

4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
论文：https://arxiv.org/abs/2002.12625

4. 生成对抗GAN

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
论文：https://arxiv.org/abs/1911.12287
代码：https://github.com/giannisdaras/ylg

MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis
论文：https://arxiv.org/abs/1903.06048

Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
论文：https://arxiv.org/abs/1911.04636

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
论文：https://arxiv.org/abs/1911.02466
代码：https://github.com/ZhengyuZhao/PerC-Adversarial

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