Author

Ya-Zhou Yao

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Sep 2026

Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation.

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

Preprint Aug 2026

From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and Segmentation

By generating evidence masks that are strictly consistent with textual diagnoses, \textsc{MedREAL} provides a robust, interpretable framework for reasoning-driven medical image analysis.

Hao-Wen Gu, Gen-Sheng Pei, Junxiong Mao et al. · 0 citations

Preprint Aug 2026

Cut-ViT: Task-Specific Model Pruning via Gram Anchoring Subspace Consistency

This work proposes a task-specific pruning pipeline, named Cut-ViT, which first construct gram anchoring matrices from both spatial and semantic perspectives, and performs the subspace decomposition to extract the corresponding subspace bases.

Jianjian Yin, Liulei Li, Tao Chen et al. · 1 citation

Preprint Aug 2026

MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical VQA

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