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jinyu Han, Changguang Wu, Fuming Sun, Jinhui Tang
CVPR 2026
We propose the Depth Segment Anything Model (DepthSAM), a MDE-adapted method for camouflaged object detection (COD).
jinyu Han, Changguang Wu, Fuming Sun, Jinhui Tang
CVPR 2026
We propose the Depth Segment Anything Model (DepthSAM), a MDE-adapted method for camouflaged object detection (COD).

Changguang Wu, Jiangxin Dong, Hao Hou, Jinhui Tang
IEEE TCSVT 2026
We present an effective and efficient approach for low-light image enhancement, named Sparse Curve Estimation (SCE).
Changguang Wu, Jiangxin Dong, Hao Hou, Jinhui Tang
IEEE TCSVT 2026
We present an effective and efficient approach for low-light image enhancement, named Sparse Curve Estimation (SCE).

Changguang Wu, Jiangxin Dong, Chengjian Li, Jinhui Tang
NeurIPS 2025
We present Plenodium (plenoptic medium), an effective and efficient 3D representation framework capable of jointly modeling both objects and participating media.
Changguang Wu, Jiangxin Dong, Chengjian Li, Jinhui Tang
NeurIPS 2025
We present Plenodium (plenoptic medium), an effective and efficient 3D representation framework capable of jointly modeling both objects and participating media.

Changguang Wu, Jiangxin Dong, Hao Hou, Jinhui Tang
Under review.
We propose a light field hybrid attention network for high-quality light field image super-resolution, which exploits not only the domain-specific information within the spatial/angular domain but also the spatial-angular correlation across domains.
Changguang Wu, Jiangxin Dong, Hao Hou, Jinhui Tang
Under review.
We propose a light field hybrid attention network for high-quality light field image super-resolution, which exploits not only the domain-specific information within the spatial/angular domain but also the spatial-angular correlation across domains.

Wenzhang Wei, Zhipeng Gui, Changguang Wu, Anqi Zhao, Dehua Peng, Huayi Wu
IEEE TMM 2024
In this work, we propose a Dynamic Visual Semantic Sub-Embeddings framework (DVSE) to reduce the information entropy.
Wenzhang Wei, Zhipeng Gui, Changguang Wu, Anqi Zhao, Dehua Peng, Huayi Wu
IEEE TMM 2024
In this work, we propose a Dynamic Visual Semantic Sub-Embeddings framework (DVSE) to reduce the information entropy.