most citedEnhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification

40 citations · 51 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20201 cited

NUTA: Non-uniform Temporal Aggregation for Action Recognition

Xinyu Li, Chunhui Liu, Bing Shuai +3

In the world of action recognition research, one primary focus has been on how to construct and train networks to model the spatial-temporal volume of an input video. These methods…

cs.CV202010 cited

Joint Generative and Contrastive Learning for Unsupervised Person Re-identification

Hao Chen, Yaohui Wang, Benoit Lagadec +2

Recent self-supervised contrastive learning provides an effective approach for unsupervised person re-identification (ReID) by learning invariance from different views (transformed…

cs.CV202040 cited

Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification

Hao Chen, Benoit Lagadec, Francois Bremond

The objective of unsupervised person re-identification (Re-ID) is to learn discriminative features without labor-intensive identity annotations. State-of-the-art unsupervised Re-ID…

cs.CV2020

Online Action Detection in Streaming Videos with Time Buffers

Bowen Zhang, Hao Chen, Meng Wang +1

We formulate the problem of online temporal action detection in live streaming videos, acknowledging one important property of live streaming videos that there is normally a broadc…

cs.CV2019

CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse

Hao Chen, Youfu Li

The goal of this work is to present a systematic solution for RGB-D salient object detection, which addresses the following three aspects with a unified framework: modal-specific r…