104 citations · 198 across the 6 of their papers we have counts for
6 papers
Context Sensing Attention Network for Video-based Person Re-identification
Kan Wang, Changxing Ding, Jianxin Pang +1
Video-based person re-identification (ReID) is challenging due to the presence of various interferences in video frames. Recent approaches handle this problem using temporal aggreg…
Batch Coherence-Driven Network for Part-aware Person Re-Identification
Kan Wang, Pengfei Wang, Changxing Ding +1
Existing part-aware person re-identification methods typically employ two separate steps: namely, body part detection and part-level feature extraction. However, part detection int…
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
Changxing Ding, Kan Wang, Pengfei Wang +1
Part-level representations are important for robust person re-identification (ReID), but in practice feature quality suffers due to the body part misalignment problem. In this pape…
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification
Kan Wang, Changxing Ding, Stephen J. Maybank +1
Part-level representations are essential for robust person re-identification. However, common errors that arise during pedestrian detection frequently result in severe misalignment…
Active Image Synthesis for Efficient Labeling
Jialei Chen, Yujia Xie, Kan Wang +4
The great success achieved by deep neural networks attracts increasing attention from the manufacturing and healthcare communities. However, the limited availability of data and hi…
Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
Jialei Chen, Yujia Xie, Kan Wang +6
Machine learning methods play increasingly important roles in pre-procedural planning for complex surgeries and interventions. Very often, however, researchers find the historical…