123 citations · 219 across the 7 of their papers we have counts for
10 papers
Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
Jinkai Zheng, Xinchen Liu, Wu Liu +3
Existing studies for gait recognition are dominated by 2D representations like the silhouette or skeleton of the human body in constrained scenes. However, humans live and walk in…
Semi-Supervised Domain Generalizable Person Re-Identification
Lingxiao He, Wu Liu, Jian Liang +4
Existing person re-identification (re-id) methods are stuck when deployed to a new unseen scenario despite the success in cross-camera person matching. Recent efforts have been sub…
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
Min Ren, Lingxiao He, Xingyu Liao +3
Person re-identification (Re-ID) aims to match pedestrians under dis-joint cameras. Most Re-ID methods formulate it as visual representation learning and image search, and its accu…
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Kecheng Zheng, Wu Liu, Lingxiao He +3
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims at adapting the model trained on a labeled source-domain dataset to a target-domain dataset without any furt…
Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification
Boqiang Xu, Lingxiao He, Xingyu Liao +3
Person re-identification (Re-ID) aims at retrieving an input person image from a set of images captured by multiple cameras. Although recent Re-ID methods have made great success,…
FastReID: A Pytorch Toolbox for General Instance Re-identification
Lingxiao He, Xingyu Liao, Wu Liu +3
General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identificatio…