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20172026
most citedLearning Multi-Attention Context Graph for Group-Based Re-Identification

73 citations · 184 across the 49 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.CV2021

MovieNet-PS: A Large-Scale Person Search Dataset in the Wild

Jie Qin, Peng Zheng, Yichao Yan +3

Person search aims to jointly localize and identify a query person from natural, uncropped images, which has been actively studied over the past few years. In this paper, we delve…

cs.CV2021★ 5 cited

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification

Yichao Yan, Junjie Li, Shengcai Liao +3

Domain generalizable person re-identification aims to apply a trained model to unseen domains. Prior works either combine the data in all the training domains to capture domain-inv…

cs.CV2021★ 1 cited

Efficient Person Search: An Anchor-Free Approach

Yichao Yan, Jinpeng Li, Jie Qin +2

Person search aims to simultaneously localize and identify a query person from realistic, uncropped images. To achieve this goal, state-of-the-art models typically add a re-id bran…

cs.CV2021★ 22 cited

Local-to-Global Self-Attention in Vision Transformers

Jinpeng Li, Yichao Yan, Shengcai Liao +2

Transformers have demonstrated great potential in computer vision tasks. To avoid dense computations of self-attentions in high-resolution visual data, some recent Transformer mode…

cs.CV2021★ 1 cited

EAN: Event Adaptive Network for Enhanced Action Recognition

Yuan Tian, Yichao Yan, Guangtao Zhai +2

Efficiently modeling spatial-temporal information in videos is crucial for action recognition. To achieve this goal, state-of-the-art methods typically employ the convolution opera…

cs.CV2021★ 3 cited

Exploring Visual Context for Weakly Supervised Person Search

Yichao Yan, Jinpeng Li, Shengcai Liao +4

Person search has recently emerged as a challenging task that jointly addresses pedestrian detection and person re-identification. Existing approaches follow a fully supervised set…

cs.CV2021★ 1 cited

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

Yichao Yan, Jie Qin1, Jiaxin Chen +4

Video-based person re-identification (re-ID) is an important research topic in computer vision. The key to tackling the challenging task is to exploit both spatial and temporal clu…

cs.CV2021★ 73 cited

Learning Multi-Attention Context Graph for Group-Based Re-Identification

Yichao Yan, Jie Qin, Bingbing Ni +6

Learning to re-identify or retrieve a group of people across non-overlapped camera systems has important applications in video surveillance. However, most existing methods focus on…

cs.CV2021★ 2 cited

Anchor-Free Person Search

Yichao Yan, Jinpeng Li, Jie Qin +5

Person search aims to simultaneously localize and identify a query person from realistic, uncropped images, which can be regarded as the unified task of pedestrian detection and pe…