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ORCIDChang Chen 0004
Person information
- affiliation: Noah's Ark Lab, Huawei Technologies, Shenzhen, China
Other persons with the same name
- Chang Chen — disambiguation page
- Chang Chen 0001
![[0009-0008-6416-7172]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0008-6416-7172")
— Peking University, Beijing, China - Chang Chen 0002 — China University of Mining and Technology, Xuzhou, China
- Chang Chen 0003 — Guangzhou University, Guangzhou, China
- Chang Chen 0005 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
- Chang Chen 0006 — Tongji University, Shanghai, China
- Chang Chen 0007 — University of Tennessee, Knoxville, TN, USA
- Chang Chen 0008 — Southern Medical University, Guangzhou, China
- Chang Chen 0009 — China Agricultural University, Beijing, China
- Chang Chen 0010 — Shanghai Jiao Tong University, Shanghai, China
- Chang Chen 0011 — University of Science and Technology of China, Hefei, China
- Chang Chen 0012 — Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
- Chang Chen 0013 — China University of Geosciences, Beijing, China
- Chang Chen 0014 — Hangzhou Dianzi University, Hangzhou, China
- Chang Chen 0015 — University of Hong Kong, Hong Kong, SAR, China
- Chang Chen 0016 — Institute of Medical Chips, Ruijin Hospital, Shanghai Jiaotong University, Shanghai, China
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2020 – today
- 2025
[j8]Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation. Int. J. Comput. Vis. 133(1): 106-128 (2025)- [j7]Jiacheng Li, Chang Chen, Fenglong Song, Youliang Yan, Zhiwei Xiong:
LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8453-8470 (2025) - [c31]Jiacheng Li, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan, Zhiwei Xiong:
Multi-Spectral Image Color Reproduction. WACV 2025: 8400-8409 - 2024
- [j6]Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong:
Toward DNN of LUTs: Learning Efficient Image Restoration With Multiple Look-Up Tables. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8284-8301 (2024) - [c30]Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan:
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence. ECCV (25) 2024: 375-391 - [c29]Yuchen Wang, Hongyuan Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Lizhi Wang:
Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction. ICASSP Workshops 2024: 87-88 - [i11]Jiacheng Li, Chang Chen, Fenglong Song, Youliang Yan, Zhiwei Xiong:
LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation. CoRR abs/2407.09935 (2024) - 2023
- [j5]Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei:
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 42(12): 3956-3971 (2023) - [c28]Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong:
Style Projected Clustering for Domain Generalized Semantic Segmentation. CVPR 2023: 3061-3071 - [c27]Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong:
Learning Steerable Function for Efficient Image Resampling. CVPR 2023: 5866-5875 - [c26]Ruikang Xu, Chang Chen, Jingyang Peng, Cheng Li, Yibin Huang, Fenglong Song, Youliang Yan, Zhiwei Xiong:
Toward RAW Object Detection: A New Benchmark and A New Model. CVPR 2023: 13384-13393 - [c25]Hongyuan Wang, Lizhi Wang, Chang Chen, Xue Hu, Fenglong Song, Hua Huang:
Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity. ACM Multimedia 2023: 7676-7685 - [i10]Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong:
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables. CoRR abs/2303.14506 (2023) - [i9]Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan:
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence. CoRR abs/2312.12833 (2023) - [i8]Xinyuan Liu, Lizhi Wang, Lingen Li, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan:
Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond. CoRR abs/2312.13310 (2023) - 2022
- [j4]Jiaqi Liu, Zhen Wang, Di Cheng, Weidong Chen, Chang Chen:
Marine Extended Target Tracking for Scanning Radar Data Using Correlation Filter and Bayes Filter Jointly. Remote. Sens. 14(23): 5937 (2022) - [j3]Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Xuejin Chen, Xiaoyan Sun, Feng Wu:
Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning. IEEE Trans. Medical Imaging 41(11): 3016-3028 (2022) - [j2]Shiyu Deng, Wei Huang, Chang Chen, Xueyang Fu, Zhiwei Xiong:
A Unified Deep Learning Framework for ssTEM Image Restoration. IEEE Trans. Medical Imaging 41(12): 3734-3746 (2022) - [c24]Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong:
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation. AAAI 2022: 1007-1015 - [c23]Jiacheng Li, Chang Chen, Zhiwei Xiong:
Contextual Outpainting with Object-Level Contrastive Learning. CVPR 2022: 11441-11450 - [c22]Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 2022: 3-26 - [c21]Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. ECCV Workshops (5) 2022: 78-94 - [c20]Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong:
Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach. ECCV (19) 2022: 199-216 - [c19]Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong:
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution. ECCV (18) 2022: 238-256 - [c18]Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Advanced Deep Networks for 3d Mitochondria Instance Segmentation. ISBI 2022: 1-5 - [c17]Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong:
Retinal Vessel Segmentation with Pixel-Wise Adaptive Filters. ISBI 2022: 1-5 - [i7]Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong:
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters. CoRR abs/2202.01782 (2022) - [i6]Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR abs/2210.11153 (2022) - [i5]Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong:
Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach. CoRR abs/2211.03058 (2022) - 2021
- [c16]Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu, Zheng-Jun Zha:
Light Field Super-Resolution With Zero-Shot Learning. CVPR 2021: 10010-10019 - [c15]Siqi Wu, Chang Chen, Zhiwei Xiong, Xuejin Chen, Xiaoyan Sun:
Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation. MICCAI (3) 2021: 191-200 - [c14]Xiaoyu Liu, Yueyi Zhang, Zhiwei Xiong, Chang Chen, Wei Huang, Xuejin Chen, Feng Wu:
Learning Neuron Stitching for Connectomics. MICCAI (8) 2021: 435-444 - [i4]Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Advanced Deep Networks for 3D Mitochondria Instance Segmentation. CoRR abs/2104.07961 (2021) - [i3]Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong:
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. CoRR abs/2112.13003 (2021) - 2020
- [j1]Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Real-World Image Denoising with Deep Boosting. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3071-3087 (2020) - [c13]Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu:
Camera Trace Erasing. CVPR 2020: 2947-2956 - [c12]Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, Feng Wu:
Learning to Restore ssTEM Images from Deformation and Corruption. ECCV Workshops (1) 2020: 394-410 - [c11]Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen, Qing Ling, Feng Wu:
Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. MICCAI (5) 2020: 163-173 - [i2]Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu:
Camera Trace Erasing. CoRR abs/2003.06951 (2020)
2010 – 2019
- 2019
- [c10]Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Camera Lens Super-Resolution. CVPR 2019: 1652-1660 - [c9]Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu:
Light Field Super-Resolution: A Benchmark. CVPR Workshops 2019: 1804-1813 - [c8]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c7]Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak:
NTIRE 2019 Challenge on Image Colorization: Report. CVPR Workshops 2019: 2233-2240 - [c6]Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, Zheng-Jun Zha, Feng Wu:
Fast and Accurate Electron Microscopy Image Registration with 3D Convolution. MICCAI (1) 2019: 478-486 - [i1]Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Camera Lens Super-Resolution. CoRR abs/1904.03378 (2019) - 2018
- [c5]Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Feng Wu:
HSCNN+: Advanced CNN-Based Hyperspectral Recovery From RGB Images. CVPR Workshops 2018: 939-947 - [c4]Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu:
Deep Boosting for Image Denoising. ECCV (11) 2018: 3-19 - [c3]Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu:
Deep Residual Attention Network for Spectral Image Super-Resolution. ECCV Workshops (5) 2018: 214-229 - [c2]Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 2018: 356-371 - 2017
- [c1]Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong:
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. ICCV Workshops 2017: 1069-1076
Coauthor Index
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