460 citations · 2k across the 40 of their papers we have counts for
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Classification of Single-View Object Point Clouds
Zelin Xu, Ke Chen, Kangjun Liu +3
Object point cloud classification has drawn great research attention since the release of benchmarking datasets, such as the ModelNet and the ShapeNet. These benchmarks assume poin…
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…
Polysemy Deciphering Network for Robust Human-Object Interaction Detection
Xubin Zhong, Changxing Ding, Xian Qu +1
Human-Object Interaction (HOI) detection is important to human-centric scene understanding tasks. Existing works tend to assume that the same verb has similar visual characteristic…
Boundary-assisted Region Proposal Networks for Nucleus Segmentation
Shengcong Chen, Changxing Ding, Dacheng Tao
Nucleus segmentation is an important task in medical image analysis. However, machine learning models cannot perform well because there are large amount of clusters of crowded nucl…
Learning Oracle Attention for High-fidelity Face Completion
Tong Zhou, Changxing Ding, Shaowen Lin +2
High-fidelity face completion is a challenging task due to the rich and subtle facial textures involved. What makes it more complicated is the correlations between different facial…
GPS-Net: Graph Property Sensing Network for Scene Graph Generation
Xin Lin, Changxing Ding, Jinquan Zeng +1
Scene graph generation (SGG) aims to detect objects in an image along with their pairwise relationships. There are three key properties of scene graph that have been underexplored…
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…