activity
20232026
most citedDROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification

1 citations · 3 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

UniDet: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection

Yubin Wang, Zhikang Zou, Xiaoqing Ye +3

We present UniDet, a brand new framework for unified and universal multi-dataset training on 3D detection, enabling robust performance across diverse domains and generalization…

cs.CV2024

HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling

Yubin Wang, Xinyang Jiang, De Cheng +3

Prompt learning has become a prevalent strategy for adapting vision-language foundation models (VLMs) such as CLIP to downstream tasks. With the emergence of large language models…

cs.CV2024★ 1 cited

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding

Yubin Wang, Xinyang Jiang, De Cheng +2

Video temporal grounding is an emerging topic aiming to identify specific clips within videos. In addition to pre-trained video models, contemporary methods utilize pre-trained vis…

cs.CV2024

DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World

Wenli Sun, Xinyang Jiang, Dongsheng Li +1

Person Re-Identification (ReID) systems pose a significant security risk from backdoor attacks, allowing adversaries to evade tracking or impersonate others. Beyond recognizing thi…

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…