80 citations · 98 across the 6 of their papers we have counts for
6 papers
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
Junkun Yuan, Xinyu Zhang, Hao Zhou +12
Model pre-training is essential in human-centric perception. In this paper, we first introduce masked image modeling (MIM) as a pre-training approach for this task. Upon revisiting…
Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
Zhiyin Shao, Xinyu Zhang, Changxing Ding +2
The pre-training task is indispensable for the text-to-image person re-identification (T2I-ReID) task. However, there are two underlying inconsistencies between these two tasks tha…
Mining False Positive Examples for Text-Based Person Re-identification
Wenhao Xu, Zhiyin Shao, Changxing Ding
Text-based person re-identification (ReID) aims to identify images of the targeted person from a large-scale person image database according to a given textual description. However…
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Zhiyin Shao, Xinyu Zhang, Meng Fang +3
Text-to-image person re-identification (ReID) aims to search for pedestrian images of an interested identity via textual descriptions. It is challenging due to both rich intra-moda…
Quality-aware Part Models for Occluded Person Re-identification
Pengfei Wang, Changxing Ding, Zhiyin Shao +3
Occlusion poses a major challenge for person re-identification (ReID). Existing approaches typically rely on outside tools to infer visible body parts, which may be suboptimal in t…
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…