collaborators

11 papers

cs.CV2026

Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration

Zhengjian Yao, Jiakui Hu, Kaiwen Li +5

Blind face restoration remains a persistent challenge due to the inherent ill-posedness of reconstructing holistic structures from severely constrained observations. Current genera…

cs.CV2026

Evaluation of Winning Solutions of 2025 Low Power Computer Vision Challenge

Zihao Ye, Yung-Hsiang Lu, Xiao Hu +14

The IEEE Low-Power Computer Vision Challenge (LPCVC) aims to promote the development of efficient vision models for edge devices, balancing accuracy with constraints such as latenc…

cs.CV2026

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation

Shuang Zeng, Boxu Xie, Lei Zhu +6

Deep learning has greatly advanced medical image segmentation, but its success relies heavily on fully supervised learning, which requires dense annotations that are costly and tim…

cs.CV2026

Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning

Zhengjian Yao, Yongzhi Li, Xinyuan Gao +3

We present "Narrative Weaver", a novel framework that addresses a fundamental challenge in generative AI: achieving multi-modal controllable, long-range, and consistent visual cont…

cs.CV2026

Bridging Degradation Discrimination and Generation for Universal Image Restoration

JiaKui Hu, Zhengjian Yao, Lujia Jin +1

Universal image restoration is a critical task in low-level vision, requiring the model to remove various degradations from low-quality images to produce clean images with rich det…

cs.CV2025

AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs

Xinliang Zhang, Lei Zhu, Hangzhou He +5

Multimodal Large Language Models (MLLMs) have demonstrated substantial value in unified text-image understanding and reasoning, primarily by converting images into sequences of pat…