19 citations · 31 across the 8 of their papers we have counts for
8 papers
Visual Bridge: Universal Visual Perception Representations Generating
Yilin Gao, Shuguang Dou, Junzhou Li +4
Recent advances in diffusion models have achieved remarkable success in isolated computer vision tasks such as text-to-image generation, depth estimation, and optical flow. However…
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
Shuguang Dou, Xiangyang Jiang, Yuanpeng Tu +4
The paper introduces the Decouple Re-identificatiOn and human Parsing (DROP) method for occluded person re-identification (ReID). Unlike mainstream approaches using global features…
Reviving Static Charts into Live Charts
Lu Ying, Yun Wang, Haotian Li +5
Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and e…
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang +6
While person Re-identification (Re-ID) has progressed rapidly due to its wide real-world applications, it also causes severe risks of leaking personal information from training dat…
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
Wenli Sun, Xinyang Jiang, Shuguang Dou +4
In recent years, person Re-identification (ReID) has rapidly progressed with wide real-world applications, but also poses significant risks of adversarial attacks. In this paper, w…
Towards Privacy-Preserving Person Re-identification via Person Identify Shift
Shuguang Dou, Xinyang Jiang, Qingsong Zhao +2
Recently privacy concerns of person re-identification (ReID) raise more and more attention and preserving the privacy of the pedestrian images used by ReID methods become essential…
Adaptive Discriminative Regularization for Visual Classification
Qingsong Zhao, Yi Wang, Shuguang Dou +3
How to improve discriminative feature learning is central in classification. Existing works address this problem by explicitly increasing inter-class separability and intra-class s…
Rethinking the Zigzag Flattening for Image Reading
Qingsong Zhao, Yi Wang, Zhipeng Zhou +4
Sequence ordering of word vector matters a lot to text reading, which has been proven in natural language processing (NLP). However, the rule of different sequence ordering in comp…