1 citations · 2 across the 6 of their papers we have counts for
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V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors
Shichao Kan, Chengpeng Hong, Jingtong Dou +8
As generated videos become increasingly realistic, reliable video forgery detection is increasingly important. Existing studies typically optimize and use video forgery detectors a…
Not all tokens contribute equally to diffusion learning
Guoqing Zhang, Lu Shi, Wanru Xu +4
With the rapid development of conditional diffusion models, significant progress has been made in text-to-video generation. However, we observe that these models often neglect sema…
Condition Weaving Meets Expert Modulation: Towards Universal and Controllable Image Generation
Guoqing Zhang, Xingtong Ge, Lu Shi +5
The image-to-image generation task aims to produce controllable images by leveraging conditional inputs and prompt instructions. However, existing methods often train separate cont…
Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
Hao Shen, Lu Shi, Wanru Xu +3
Video Anomaly Detection (VAD), aiming to identify abnormalities within a specific context and timeframe, is crucial for intelligent Video Surveillance Systems. While recent deep le…
Object Retrieval for Visual Question Answering with Outside Knowledge
Shichao Kan, Yuhai Deng, Jiale Fu +5
Retrieval-augmented generation (RAG) with large language models (LLMs) plays a crucial role in question answering, as LLMs possess limited knowledge and are not updated with contin…