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NJUSTDepartment of Computer Science
Ph.D. StudentSep. 2022 - present
Selected Publications (view all )
Plenodium: UnderWater 3D Scene Reconstruction with Plenoptic Medium Representation
Changguang Wu, Jiangxin Dong, Chengjian Li, Jinhui Tang
Under review.
We present Plenodium (plenoptic medium), an effective and efficient 3D representation framework capable of jointly modeling both objects and participating media.
Plenodium: UnderWater 3D Scene Reconstruction with Plenoptic Medium Representation
Changguang Wu, Jiangxin Dong, Chengjian Li, Jinhui Tang
Under review.
We present Plenodium (plenoptic medium), an effective and efficient 3D representation framework capable of jointly modeling both objects and participating media.
Light Field Super-Resolution with Hybrid Attention Network
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.
Light Field Super-Resolution with Hybrid Attention Network
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.
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking
Wenzhang Wei, Zhipeng Gui, Changguang Wu, Anqi Zhao, Dehua Peng, Huayi Wu
IEEE Transactions on Multimedia
In this work, we propose a Dynamic Visual Semantic Sub-Embeddings framework (DVSE) to reduce the information entropy.
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking
Wenzhang Wei, Zhipeng Gui, Changguang Wu, Anqi Zhao, Dehua Peng, Huayi Wu
IEEE Transactions on Multimedia
In this work, we propose a Dynamic Visual Semantic Sub-Embeddings framework (DVSE) to reduce the information entropy.
Sparse Curve Estimation for Real-Time Low-Light Ultra-High-Definition Image Enhancement
Changguang Wu, Jiangxin Dong, Hao Hou, Jinhui Tang
Under review.
we present an effective and efficient approach for low-light image enhancement, named Sparse Curve Estimation (SCE).
Sparse Curve Estimation for Real-Time Low-Light Ultra-High-Definition Image Enhancement
Changguang Wu, Jiangxin Dong, Hao Hou, Jinhui Tang
Under review.
we present an effective and efficient approach for low-light image enhancement, named Sparse Curve Estimation (SCE).