activity
20222026
most citedTowards Privacy-Preserving Person Re-identification via Person Identify Shift

6 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

RIVER: A Real-Time Interaction Benchmark for Video LLMs

Yansong Shi, Qingsong Zhao, Tianxiang Jiang +3

The rapid advancement of multimodal large language models has demonstrated impressive capabilities, yet nearly all operate in an offline paradigm, hindering real-time interactivity…

cs.CV2026

Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language Models

Zheyuan Gu, Qingsong Zhao, Yusong Wang +6

Current Vision-Language Models (VLMs) for deepfake detection excel at identifying spatial artifacts but overlook a critical dimension: temporal inconsistencies in video forgeries.…

cs.CV2025

ExpVid: A Benchmark for Experiment Video Understanding & Reasoning

Yicheng Xu, Yue Wu, Jiashuo Yu +9

Multimodal Large Language Models (MLLMs) hold promise for accelerating scientific discovery by interpreting complex experimental procedures. However, their true capabilities are po…

cs.CV2024★ 1 cited

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…

cs.CV2022★ 6 cited

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…

cs.LG2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…