460 citations · 2k across the 40 of their papers we have counts for
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Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification
Pengfei Wang, Changxing Ding, Wentao Tan +3
Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims at adapting a model trained on a labeled source domain to an unlabeled target domain. State-of-the-art obje…
Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
Zefeng Ding, Changxing Ding, Zhiyin Shao +1
Text-to-image person re-identification (ReID) aims to search for images containing a person of interest using textual descriptions. However, due to the significant modality gap and…
Attention-guided Progressive Mapping for Profile Face Recognition
Junyang Huang, Changxing Ding
The past few years have witnessed great progress in the domain of face recognition thanks to advances in deep learning. However, cross pose face recognition remains a significant c…
Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection
Xubin Zhong, Xian Qu, Changxing Ding +1
Modern human-object interaction (HOI) detection approaches can be divided into one-stage methods and twostage ones. One-stage models are more efficient due to their straightforward…
On Universal Black-Box Domain Adaptation
Bin Deng, Yabin Zhang, Hui Tang +2
In this paper, we study an arguably least restrictive setting of domain adaptation in a sense of practical deployment, where only the interface of source model is available to the…
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation
Shengcong Chen, Changxing Ding, Minfeng Liu +2
Nucleus segmentation is a challenging task due to the crowded distribution and blurry boundaries of nuclei. Recent approaches represent nuclei by means of polygons to differentiate…