Haijin Zeng

According to our database, Haijin Zeng authored at least 36 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor.

Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Quang Luong, Jan Aelterman, Wilfried Philips

Int. J. Comput. Vis., November, 2024

Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Sheng Liu, Hiêp Quang Luong, Wilfried Philips

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery.

Sheng Liu, Jinsong Leng, Xi-Le Zhao, Haijin Zeng, Yao Wang, Jing-Hua Yang

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks.

Kai Feng, Haijin Zeng, Yongqiang Zhao, Seong G. Kong, Yuanyang Bu

IEEE Trans. Image Process., 2024

Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image.

Shaoguang Huang, Haijin Zeng, Hongyu Chen, Hongyan Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging.

Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu

CoRR, 2024

Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging.

Yunzhen Wang, Haijin Zeng, Shaoguang Huang, Hongyu Chen, Hongyan Zhang

CoRR, 2024

Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement.

Wenzhe Tian, Haijin Zeng, Yin-Ping Zhao, Yongyong Chen, Zhen Wang, Xuelong Li

CoRR, 2024

LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network.

Xuanqi Zhang, Haijin Zeng, Jinwang Pan, Qiangqiang Shen, Yongyong Chen

CoRR, 2024

MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results.

Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal

CoRR, 2024

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging.

Haijin Zeng, Yuxi Liu, Yongyong Chen, Youfa Liu, Chong Peng, Jingyong Su

Proceedings of the Computer Vision - ECCV 2024, 2024

Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification.

Jiancheng Zhang, Haijin Zeng, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual Prior Unfolding for Snapshot Compressive Imaging.

Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising.

Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, Hiep Luong, Wilfried Philips

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results.

Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangcheng Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model.

Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images.

Shaoguang Huang, Hongyan Zhang, Haijin Zeng, Aleksandra Pizurica

Remote. Sens., June, 2023

Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion.

Yongyong Chen, Tingting Xu, Xiaojia Zhao, Haijin Zeng, Yanhui Xu, Junxing Chen

Signal Process., May, 2023

Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion.

Haijin Zeng, Jize Xue, Hiep Luong, Wilfried Philips

IEEE Trans. Multim., 2023

Generalized Nonconvex Low-Rank Tensor Representation for Hyperspectral Anomaly Detection.

Hao Qin, Qiangqiang Shen, Haijin Zeng, Yongyong Chen, Guangming Lu

IEEE Trans. Geosci. Remote. Sens., 2023

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks.

Kai Feng, Yongqiang Zhao, Seong G. Kong, Haijin Zeng

CoRR, 2023

Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising.

Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips

CoRR, 2023

MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing.

Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips

CoRR, 2023

Research based on improved AD-Census stereo matching algorithm.

Haijin Zeng, Jinxia Ren, Yao Qin

Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

2022

Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips

CoRR, 2022

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report.

Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Zhen Wang, Daoyu Li, Yuzhe Zhang, Lintao Peng, Xuyang Chang, Yinuo Zhang, Yaqi Wu, Xun Wu, Zhihao Fan, Chengjie Xia, Feng Zhang, Haijin Zeng, Kai Feng, Yongqiang Zhao, Hiêp Quang Luong, Jan Aelterman, Anh Minh Truong, Wilfried Philips, Xiaohong Liu, Jun Jia, Hanchi Sun, Guangtao Zhai, Longan Xiao, Qihang Xu, Ting Jiang, Qi Wu, Chengzhi Jiang, Mingyan Han, Xinpeng Li, Wenjie Lin, Youwei Li, Haoqiang Fan, Shuaicheng Liu, Rongyuan Wu, Lingchen Sun, Qiaosi Yi

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Hyperspectral Image Restoration via Global L_1-2 Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery.

Haijin Zeng, Xiaozhen Xie, Haojie Cui, Hanping Yin, Jifeng Ning

IEEE Trans. Geosci. Remote. Sens., 2021

Enhanced Nonconvex Low-Rank Approximation of Tensor Multi-Modes for Tensor Completion.

Haijin Zeng, Yongyong Chen, Xiaozhen Xie, Jifeng Ning

IEEE Trans. Computational Imaging, 2021

Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation.

Haijin Zeng, Xiaozhen Xie, Jifeng Ning

Signal Process., 2021

2020

Hyperspectral image restoration via CNN denoiser prior regularized low-rank tensor recovery.

Haijin Zeng, Xiaozhen Xie, Haojie Cui, Yuan Zhao, Jifeng Ning

Comput. Vis. Image Underst., 2020

Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion.

Haijin Zeng, Sheng Liu, Jifeng Ning

CoRR, 2020

Enhanced nonconvex low-rank representation for tensor completion.

Haijin Zeng, Xiaozhen Xie, Jifeng Ning

CoRR, 2020

Tensor completion using enhanced multiple modes low-rank prior and total variation.

Haijin Zeng, Xiaozhen Xie, Jifeng Ning

CoRR, 2020

Hyperspectral Image Denoising via Combined Non-Local Self-Similarity and Local Low-Rank Regularization.

Haijin Zeng, Xiaozhen Xie, Wenfeng Kong, Shuang Cui, Jifeng Ning

IEEE Access, 2020

Hyperspectral Image Restoration via Global Total Variation Regularized Local Nonconvex Low-Rank Matrix Approximation.

Haijin Zeng, Xiaozhen Xie, Jifeng Ning

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020