Conventional video object segmentation (VOS) methods usually necessitate a substantial volume of pixel-level annotated video data for fully supervised learning. In this paper, we present HVC, a hybrid static-dynamic visual correspondence framework for self-supervised VOS. HVC extracts pseudo-dynamic signals from static...
Ya-Zhou Yao, Gen-Sheng Pei, Jian-Bo Jiao et al.· IEEE Transactions on Pattern...· 0 citations
Although Multimodal Large Language Models (MLLMs) have demonstrated impressive performance in Medical Visual Question Answering (Med-VQA), their reliance on global image features often lacks precise pixel-level grounding, thereby limiting clinical trustworthiness. To bridge the semantic gap between high-level clinical...
Hao-Wen Gu, Gen-Sheng Pei, Junxiong Mao et al.· 0 citations
A lightweight framework that leverages a memory bank to augment DCT-based low-frequency features and employs graph-enhanced cross-attention for effective visual-textual alignment is proposed, highlighting its efficiency and potential for clinical deployment.
Hao-Wen Gu, Gen-Sheng Pei, Ze-Ren Sun et al.· 2 citations
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