2020

行人检测

  1. Detection in Crowded Scenes: One Proposal, Multiple Predictions
  2. NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing
  3. STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
  4. .Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection
  5. Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians
  6. Attention Scaling for Crowd Counting
  7. Reverse Perspective Network for Perspective-Aware Object Counting
  8. Adaptive Dilated Network With Self-Correction Supervision for Counting
  9. Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning
  10. Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification
  11. Real-World Person Re-Identification via Degradation Invariance Learning
  12. Unity Style Transfer for Person Re-Identification
  13. Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification
  14. Style Normalization and Restitution for Generalizable Person Re-Identification
  15. Relation-Aware Global Attention for Person Re-Identification
  16. Salience-Guided Cascaded Suppression Network for Person Re-Identification

 基于视频的人员重识别

  1. Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification
  2. Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
  3. Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification

对抗攻击+人员重识别

  1. Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

 跨分辨率人员重识别

  1. Inter-Task Association Critic for Cross-Resolution Person Re-Identification

 非监督人员重识别

  1. Unsupervised Person Re-Identification via Softened Similarity Learning
  2. Unsupervised Person Re-Identification via Multi-Label Classification

 遮挡人员重识别

  1. High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
  2. Pose-Guided Visible Part Matching for Occluded Person ReID

 跨域人员重识别

  1. AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification
  2. Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification
  3. Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
  4. .Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer

基于射频信号的人员重识别

  1. Learning Longterm Representations for Person Re-Identification Using Radio Signals

着装改变人员重识别数据集

  1. COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification

步态识别

  1. GaitPart: Temporal Part-Based Model for Gait Recognition
  2. Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features

2021

拥挤人群计数

  • Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
  • Cross-View Cross-Scene Multi-View Crowd Counting
  • A Generalized Loss Function for Crowd Counting and Localization
    行人检测
  • Variational Pedestrian Detection
  • Generalizable Pedestrian Detection: The Elephant In The Room
    行人跟踪
  • Tracking Pedestrian Heads in Dense Crowd
    步态识别
  • Cross-View Gait Recognition with Deep Universal Linear Embeddings

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  1. CVPR2020行人重识别算法论文解读

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  2. 基于智慧灯杆的行人检测与识别

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  3. 源代码来了 | 英伟达开源行人生成/重识别代码

    前几天英伟达开源了DG-Net的源码.让我们来回顾一下这篇CVPR19 Oral的论文. 论文是英伟达(NVIDIA), 悉尼科技大学(UTS), 澳大利亚国立大学(ANU)的研究人员 在CVPR19 ...

  4. 阿里云ET城市大脑新突破:行人检测与识别破世界纪录

    阿里云ET城市大脑所要解决的世界级难题,正在催生出一系列世界级的技术.1月8日,全球权威机器视觉算法排行榜KITTI刷新了排名,阿里巴巴人工智能研究机构iDST夺得行人检测单项冠军.于此同时,在知名的 ...

  5. 23年 车辆检测+车距检测+行人检测+车辆识别+车距预测(附yolo v5最新版源码)

    我们先看一下效果2023年最新版 yolo车距 行人识别yolov5和v7对比 yolo车距 其他步骤参考另外一篇文章: yolo 车辆测距+车辆识别+单目测距(双目测距)_SYBH.的博客-CSDN ...

  6. CVPR2020夜间行人检测挑战赛两冠一亚:DeepBlueAI获胜方案解读

    2020-06-22 11:24:27 机器之心专栏 作者:罗志鹏(深兰北京AI研发中心) 来自深兰科技北京 AI 研发中心的 DeepBlueAI 团队在 CVPR 2020 夜间行人检测挑战赛中斩 ...

  7. 翻遍用AI检测新冠的论文,一篇临床可用的也没有?!

    点击上方"视学算法",选择加"星标"或"置顶" 重磅干货,第一时间送达 丰色 鱼羊 发自 凹非寺 量子位 报道 | 公众号 QbitAI 搜 ...

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  9. 玩转CANN目标检测与识别一站式方案【介绍篇】

    背景介绍 目标检测与识别是计算机视觉领域中的关键技术,随着深度学习技术的发展,目标检测与识别的应用场景也越来越广泛.当前, 主要有以下几个应用场景: 安全领域:指纹识别.物体识别等. 交通领域:车牌号 ...

  10. cvpr2020 人脸检测与识别_CVPR2020 论文分类下载 「人脸识别+目标检测」

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