activity
20182022
most citedMutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

392 citations · 885 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CV2022

Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification

Lin Wu, Deyin Liu, Wenying Zhang +5

Person re-identification (re-ID) is of great importance to video surveillance systems by estimating the similarity between a pair of cross-camera person shorts. Current methods for…

cs.CV2021

Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

Ruijin Liu, Dapeng Chen, Tie Liu +2

Detecting 3D lanes from the camera is a rising problem for autonomous vehicles. In this task, the correct camera pose is the key to generating accurate lanes, which can transform a…

cs.CV2021★ 4 cited

Layerwise Optimization by Gradient Decomposition for Continual Learning

Shixiang Tang, Dapeng Chen, Jinguo Zhu +2

Deep neural networks achieve state-of-the-art and sometimes super-human performance across various domains. However, when learning tasks sequentially, the networks easily forget th…

cs.CV2021★ 12 cited

Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification

Shijie Yu, Dapeng Chen, Rui Zhao +2

Person images captured by surveillance cameras are often occluded by various obstacles, which lead to defective feature representation and harm person re-identification (Re-ID) per…

cs.CV2021★ 13 cited

Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification

Shijie Yu, Feng Zhu, Dapeng Chen +5

Recent years have witnessed significant progress in person re-identification (ReID). However, current ReID approaches still suffer from considerable performance degradation when un…

cs.CV2021★ 1 cited

Complementary Relation Contrastive Distillation

Jinguo Zhu, Shixiang Tang, Dapeng Chen +5

Knowledge distillation aims to transfer representation ability from a teacher model to a student model. Previous approaches focus on either individual representation distillation o…