Chang Chen - RankMe

50 papers A* 9A 1Journal 19Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation. Int. J. Comput. Vis. Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong
2025	J	`jnl`	LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation. IEEE Trans. Pattern Anal. Mach. Intell. Jiacheng Li, Chang Chen, Fenglong Song, Youliang Yan, Zhiwei Xiong
2025	A	`conf`	Multi-Spectral Image Color Reproduction. WACV Jiacheng Li, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan, Zhiwei Xiong
2024	—	`conf`	Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction. ICASSP Workshops Yuchen Wang, Hongyuan Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Lizhi Wang
2024	J	`jnl`	LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation. CoRR Jiacheng Li, Chang Chen, Fenglong Song, Youliang Yan, Zhiwei Xiong
2024	—	`conf`	Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence. ECCV (25) Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan
2024	J	`jnl`	Toward DNN of LUTs: Learning Efficient Image Restoration With Multiple Look-Up Tables. IEEE Trans. Pattern Anal. Mach. Intell. Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
2023	J	`jnl`	Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond. CoRR Xinyuan Liu, Lizhi Wang, Lingen Li, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan
2023	J	`jnl`	Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 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
2023	J	`jnl`	Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence. CoRR Hongyuan Wang, Lizhi Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan
2023	A*	`conf`	Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity. ACM Multimedia Hongyuan Wang, Lizhi Wang, Chang Chen, Xue Hu, Fenglong Song, Hua Huang
2023	A*	`conf`	Learning Steerable Function for Efficient Image Resampling. CVPR Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong
2023	A*	`conf`	Style Projected Clustering for Domain Generalized Semantic Segmentation. CVPR Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong
2023	J	`jnl`	Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables. CoRR Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
2023	A*	`conf`	Toward RAW Object Detection: A New Benchmark and A New Model. CVPR Ruikang Xu, Chang Chen, Jingyang Peng, Cheng Li, Yibin Huang, Fenglong Song, Youliang Yan, Zhiwei Xiong
2022	J	`jnl`	A Unified Deep Learning Framework for ssTEM Image Restoration. IEEE Trans. Medical Imaging Shiyu Deng, Wei Huang, Chang Chen, Xueyang Fu, Zhiwei Xiong
2022	—	`conf`	Advanced Deep Networks for 3d Mitochondria Instance Segmentation. ISBI Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong
2022	A*	`conf`	Contextual Outpainting with Object-Level Contrastive Learning. CVPR Jiacheng Li, Chang Chen, Zhiwei Xiong
2022	—	`conf`	Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. ECCV Workshops (5) Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong
2022	A*	`conf`	Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation. AAAI Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong
2022	J	`jnl`	Marine Extended Target Tracking for Scanning Radar Data Using Correlation Filter and Bayes Filter Jointly. Remote. Sens. Jiaqi Liu, Zhen Wang, Di Cheng, Weidong Chen, Chang Chen
2022	—	`conf`	MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution. ECCV (18) Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
2022	—	`conf`	Retinal Vessel Segmentation with Pixel-Wise Adaptive Filters. ISBI Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong
2022	J	`jnl`	Retinal Vessel Segmentation with Pixel-wise Adaptive Filters. CoRR Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong
2022	—	`conf`	Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. ECCV Workshops (3) 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
2022	J	`jnl`	Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. CoRR 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
2022	J	`jnl`	Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning. IEEE Trans. Medical Imaging Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Xuejin Chen, Xiaoyan Sun, Feng Wu
2022	J	`jnl`	Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach. CoRR Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong
2022	—	`conf`	Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach. ECCV (19) Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong
2021	J	`jnl`	Advanced Deep Networks for 3D Mitochondria Instance Segmentation. CoRR Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong
2021	J	`jnl`	Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. CoRR Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong
2021	—	`conf`	Learning Neuron Stitching for Connectomics. MICCAI (8) Xiaoyu Liu, Yueyi Zhang, Zhiwei Xiong, Chang Chen, Wei Huang, Xuejin Chen, Feng Wu
2021	A*	`conf`	Light Field Super-Resolution With Zero-Shot Learning. CVPR Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu, Zheng-Jun Zha
2021	—	`conf`	Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation. MICCAI (3) Siqi Wu, Chang Chen, Zhiwei Xiong, Xuejin Chen, Xiaoyan Sun
2020	A*	`conf`	Camera Trace Erasing. CVPR Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu
2020	J	`jnl`	Camera Trace Erasing. CoRR Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu
2020	—	`conf`	Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. MICCAI (5) Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen, Qing Ling, Feng Wu
2020	—	`conf`	Learning to Restore ssTEM Images from Deformation and Corruption. ECCV Workshops (1) Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Dong Liu, Feng Wu
2020	J	`jnl`	Real-World Image Denoising with Deep Boosting. IEEE Trans. Pattern Anal. Mach. Intell. Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
2019	A*	`conf`	Camera Lens Super-Resolution. CVPR Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
2019	J	`jnl`	Camera Lens Super-Resolution. CoRR Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
2019	—	`conf`	Fast and Accurate Electron Microscopy Image Registration with 3D Convolution. MICCAI (1) Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, Zheng-Jun Zha, Feng Wu
2019	—	`conf`	Light Field Super-Resolution: A Benchmark. CVPR Workshops Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu
2019	—	`conf`	NTIRE 2019 Challenge on Image Colorization: Report. CVPR Workshops 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
2019	—	`conf`	NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 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
2018	—	`conf`	Deep Boosting for Image Denoising. ECCV (11) Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu
2018	—	`conf`	Deep Residual Attention Network for Spectral Image Super-Resolution. ECCV Workshops (5) Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu
2018	—	`conf`	HSCNN+: Advanced CNN-Based Hyperspectral Recovery From RGB Images. CVPR Workshops Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Feng Wu
2018	—	`conf`	PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 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
2017	—	`conf`	UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. ICCV Workshops Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong