123 citations · 202 across the 7 of their papers we have counts for
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cs.CV2018★ 123 cited
3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
Lin Wu, Yang Wang, Ling Shao +1
In this paper, we introduce a global video representation to video-based person re-identification (re-ID) that aggregates local 3D features across the entire video extent. Most of…
cs.CV2018★ 7 cited
Video-based Person Re-identification Using Spatial-Temporal Attention Networks
Shivansh Rao, Tanzila Rahman, Mrigank Rochan +1
We consider the problem of video-based person re-identification. The goal is to identify a person from videos captured under different cameras. In this paper, we propose an efficie…
cs.CV2018★ 21 cited
LEGO: Learning Edge with Geometry all at Once by Watching Videos
Zhenheng Yang, Peng Wang, Yang Wang +2
Learning to estimate 3D geometry in a single image by watching unlabeled videos via deep convolutional network is attracting significant attention. In this paper, we introduce a "3…