Chang, Yi (昌毅)
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Associate Professor, |
About me
I am an associate professor in the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. I received my Bachelor’s Degree in automation from the University of Electronic Science and Technology of China, Chengdu, China in 2011, and the M.S. degree in pattern recognition and intelligent systems from the Huazhong University of Science and Technology, Wuhan, China, in 2014. From 2014 to 2015, I was a Research Assistant with Peking University, Beijing, China, and recived the Ph.D. degree with the School of Artificial Intelligence and Automation from the Huazhong University of Science and Technology in 2019. I was a Postdoc in AI center Pengcheng Lab between 2020 and 2021, Shenzhen, China. My research interests lie in high-quality imaging and understanding under adverse weather and conditions.
Research
My research interests include:
Image Enhancement for Ill-posed Conditions: Deraining, Dehazing, Turbulence Removal, Low-light Enhancement
Image Restoration for Remote Sensing: Destriping, Mixed Noise Removal, Inpainting, Deblurring, Super-resolution
New Imaging Camera for Visual Sensing: Neuromorphic Event Imaging, Hyperspectral Imaging
I am looking for self-motivated students working on image processing and computer vision. Please email me with your CV if you are interested.
News
Our work for large-scale real-world paired event noise dataset and benchmark has been accepted by CVPR 2024!
Our work for Lidar-event-RGB multimodality-based 3D scene flow has been accepted by CVPR 2024!
Our work for event-based nighttime HDR imaging has been accepted by CVPR 2024!
Our work for event-based moving object detection has been accepted by ICRA 2024!
Our work for event-based nighttime optical flow via common-space domain adaptation has been accepted by ICLR 2024 as the spotlight!
We have won the third prize in the track 'Cross-domain Monocular Depth Estimation' in 粤港澳大湾区国际算法算例大赛!
One co-author paper for single image rain removal has been accepted by TIP!
Our work for unsupervised contrastive image deraining has been accepted by TPAMI!
I have been funded by the National Natural Science Foundation of China!
Our work for content-aware hyperspectral image restoration has been accepted by TGRS!
One co-author paper for UAV target detection has been accepted by ACM MM 2023!
Our work for real large-scale high-quality paired rainy image benchmark has been accepted by ICCV 2023!
Our work for realistic and controllable rainy image generation has been accepted by ICCV 2023!
We have won 1st place in the track 'Atmospheric Turbulence Mitigation' in the CVPR 2023 UG2+ Challenge!
We have won 1st place in the track 'Single Image Deraining' in the CVPR 2023 UG2+ Challenge!
Thanks for the support of Wuhan City. I have been selected into the 'Wuhan Outstanding Youth Program'!
Our work for low-light saturation image deblurring has been accepted by sensors!
Our work for foggy scene optical flow via cumulative domain adaptation has been accepted by CVPR 2023!
One co-author paper for infrared small target UAV detection has been accepted by TII!
Thanks for the support of Xiaomi Company. I have been awarded a 'Xiaomi Young Scholar'!
The work 'Image Restoration for Remote Sensing: Overview and Toolbox' has been elected as an ESI highly-cited paper!
I have been invited as a guest editorial of [Sensors] (IF: 3.847, ISSN 1424-8220) to host the special issue "Advances and Perspectives of Object Detection Using Sensing (and Processing) Method". Please submit your work to our special issue (link: https://www.mdpi.com/journal/sensors/special_issues/5G9L2T2J36)!
Our work for single image deraining has been accepted by TNNLS!
Our work for unsupervised optical flow under adverse weather has been accepted by AAAI 2023!
Publications
Yuxin Duan, Shihan Peng, Yi Chang*, Wei Zhang, Luxin Yan. "LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising", IEEE Computer Vision and Pattern Recognition(CVPR), 2024.
Haoyue Liu, Shihan Peng, Lin Zhu, Yi Chang*, Hanyu Zhou, Luxin Yan. "Seeing Motion During Nighttime with Event Camera", IEEE Computer Vision and Pattern Recognition(CVPR), 2024.
Hanyu Zhou, Yi Chang*, Zhiwei Shi, Luxin Yan. "Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow", IEEE Computer Vision and Pattern Recognition(CVPR), 2024.
Hanyu Zhou, Zhiwei Shi, Hao Dong, Shihan Peng, Yi Chang, Luxin Yan*. "JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection", IEEE International Conference on Robotics and Automation(ICRA), 2024.
Hanyu Zhou, Yi Chang*, Haoyue Liu, Wending Yan, Yuxin Duan, Zhiwei Shi, Luxin Yan. "Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow", International Conference on Learning Representations(ICLR), 2024.
Wencheng Li, Gang Chen, and Yi Chang. "An Efficient Single Image De-raining Model with Decoupled Deep Networks", IEEE Trans. Image Process.(TIP), 2024.
Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan∗, and Yonghong Tian. "Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity", IEEE Trans. Pattern Anal. Mach. Intell.(TPAMI), 2023.
Yun Guo^, Xueyao Xiao^, Yi Chang*, Shumin Deng, Luxin Yan. "From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal", IEEE International Conference on Computer Vision(ICCV), 2023.
Changfeng Yu, Shiming Chen, Yi Chang*, Yibing Song, Luxin Yan. "Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation", IEEE International Conference on Computer Vision(ICCV), 2023.
Hanyu Zhou, Yi Chang*, Wending Yan, Luxin Yan. "Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow", IEEE Computer Vision and Pattern Recognition(CVPR), 2023.
Hanyu Zhou, Yi Chang*, Gang Chen, Luxin Yan. "Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow", Association for the Advancement of Artificial Intelligence(AAAI), 2023.
Houzhang Fang, Zikai Liao, Lu Wang, Qingshan Li, Yi Chang, Luxin Yan, Xuhua Wang. "DANet: Multi-scale UAV Target Detection with Dynamic Feature Perception and Scale-aware Knowledge Distillation", ACM Int’l Conference on Multimedia(ACMMM), 2023.
Yi Chang, Meiya Chen, Changfeng Yu, Yi Li, Liqun Chen, Luxin Yan. "Direction and Residual Awareness Curriculum Learning Network for Rain Streaks Removal", IEEE Trans. on Neural Net. Learn. Sys.(TNNLS), 2023.
Xueyao Xiao^, Wei Zhang^, Yi Chang*, Shuning Cao, Wei He, Houzhang Fang, and Luxin Yan. "Content-Aware Subspace Low-Rank Tensor Recovery for Hyperspectral Image Restoration", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2023.
Shuning Cao, Yi Chang*, Shengqi Xu, Houzhang Fang, Luxin Yan. "Nonlinear Deblurring for Low-light Saturated Image", Sensors, 2023.
Houzhang Fang, Zikai Liao, Xuhua Wang, Yi Chang, Luxin Yan. "Differentiated Attention Guided Network Over Hierarchical and Aggregated Features for Intelligent UAV Surveillance", IEEE Transactions on Industrial Informatics(TII), 2023.
Yuntong Ye, Changfeng Yu, Yi Chang*, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian. "Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity", IEEE Computer Vision and Pattern Recognition(CVPR), 2022. [pdf]
Yi Li, Yi Chang*, Yan Gao, Changfeng Yu, Luxin Yan. "Physically Disentangled Joint Intra- and Inter-domain Adaptation for Varicolored Haze Removal", IEEE Computer Vision and Pattern Recognition(CVPR), 2022. [pdf]
Yi Li, Yi Chang*, Changfeng Yu, Luxin Yan. "Close the Loop: A Unified Bottom-up and Top-down Paradigm for Joint Image Deraining and Segmentation", Association for the Advancement of Artificial Intelligence(AAAI), 2022. [pdf]
Shuning Cao^, Houzhang Fang^, Liqun Chen, Wei Zhang, Yi Chang*, Luxin Yan. "Robust Blind Deblurring under Stripe Noise for Remote Sensing Images", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2022. [pdf]
Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian. "Event-based Video Reconstruction via Potential-assisted Spiking Neural Network", IEEE Computer Vision and Pattern Recognition(CVPR), 2022. [pdf]
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Ng. Michael, Chao Li. "Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery", IEEE Trans. on Image Process.(TIP), 2022. [pdf]
Houzhang Fang, Lan Ding, Liming Wang, Yi Chang, Luxin Yan, Jinhui Han. "Infrared Small UAV Target Detection Based on Depthwise Separable Residual Dense Network and Multiscale Feature Fusion", IEEE Trans. on Instrum. and Meas.(TIM), 2022. [pdf]
Liqun Chen, Yi Chang, Luxin Yan. "On-Orbit Real-Time Variational Image Destriping: FPGA Architecture and Implementation", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2022. [pdf]
Zhijun Zhang, Yi Chang, Sheng Zhong, Luxin Yan, Xu Zou. "Learning Dynamic Background for Weakly Supervised Moving Object Detection", Image and Vision Computing(IVC), 2022. [pdf]
Yuntong Ye, Yi Chang*, Hanyu Zhou, Luxin Yan. "Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation", IEEE Computer Vision and Pattern Recognition(CVPR), 2021. [pdf] [code]
Changfeng Yu^, Yi Chang^, Yi Li, Xile Zhao, Luxin Yan. "Unsupervised Image Deraining: Optimization Model Driven Deep CNN", ACM Int’l Conference on Multimedia(ACMMM), 2021. [pdf] [code]
Behnood Rasti^, Yi Chang^, Emanuele Dalsasso^, Loic Denis^, Pedram Ghamisi^. "Image Restoration for Remote Sensing: Overview and Toolbox", IEEE Geosci. Remote Sens. Mag.(GRSM), 2021. [pdf] [code]
Yuntong Ye, Yi Chang, Yi Li, Luxin Yan. "Skeleton-Aware Network for Aircraft Landmark Detection", International Conference on Image and Graphics(ICIG), 2021. [pdf]
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang, Zheng, Yi Chang. "Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior", IEEE J. Sel. Top. Appl. Earth. Obs. Remote Sens.(JSTARS), 2021. [pdf]
Houzhang Fang, Mingjiang Xia, Gang Zhou, Yi Chang, Luxin Yan. "Infrared Small UAV Target Detection Based on Residual Image Prediction via Global and Local Dilated Residual Networks", IEEE Geosci. Remote Sens. Lett.(GRSL), 2021. [pdf]
Yi Chang, Luxin Yan, Xi-le Zhao, Houzhang Fang, Zhijun Zhang, Sheng Zhong. "Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration", IEEE Trans. on Cybernetics(TCYB), 2020. [pdf] [code]
Yi Chang, Luxin Yan, Bingling Chen, Sheng Zhong, Yonghong Tian. "Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2020. [pdf] [code]
Yi Chang, Meiya Chen, Luxin Yan, Xi-le Zhao, Yi Li, Sheng Zhong. "Toward Universal Stripe Removal Via Wavelet-based Deep Convolutional Neural Network", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2020. [pdf] [code]
Yetao Wang, Xile Zhao, Taixiang Jiang, Liangjian Deng, Yi Chang, Tingzhu Huang. "Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network", IEEE Trans. on Neural Net. Learn. Sys.(TNNLS), 2020. [pdf]
Yi Li, Yi Chang, Yuntong Ye, Xu Zou, Sheng Zhong, Luxin Yan. "Category-Aware Aircraft Landmark Detection", IEEE Signal Process. Lett.(SPL), 2020. [pdf]
Houzhang Fang, Mingjiang Xia, Hehui Liu, Yi Chang, Liming Wanga, Xiyang Liu. "Automatic Zipper Tape Defect Detection using Two-stage Multi-scale Convolutional Network", Neurocomputing, 2020. [pdf]
Meiya Chen, Yi Chang, Shuning Cao, Luxin Yan. "Learning Blind Denoising Network for Noisy Image Deblurring", IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), 2020. [pdf]
Yi Chang, Luxin Yan, Houzhang Fang, Sheng Zhong, Wenshan Liao. "HSI-DeNet: Hyperspectral Image Restoration via Convolutional Neural Network", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2019. [pdf] [code]
Yi Chang, Luxin Yan, Meiya Chen, Houzhang Fang, Sheng Zhong. "Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition", IEEE Trans. on Instrum. and Meas.(TIM), 2019. [pdf]
Yi Chang, Luxin Yan, Li Liu, Houzhang Fang, Sheng Zhong. "Infrared Aero-Thermal Nonuniform Correction via Deep Multiscale Residual Network", IEEE Geosci. Remote Sens. Lett.(GRSL), 2019. [pdf] [code]
Shoukui Yao^, Yi Chang^, Xiaojuan Qin. "A Coarse-to-Fine Method For Infrared Small Target Detection", IEEE Geosci. Remote Sens. Lett.(GRSL), 2019. [pdf]
Huimin Liu, Yi Chang, Ziqin Li, Sheng Zhong, Luxin Yan. "Directional-aware Automatic Defect Detection in High-Speed Railway Catenary System", IEEE Conference on Image Processing(ICIP), 2019. [pdf]
Wenfei Cao, Yi Chang, Guodong Han, Junbing Li. "Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation", IEEE Geosci. Remote Sens. Lett.(GRSL), 2019. [pdf]
Shoukui Yao, Yi Chang, Xiaojuan Qin, Yaozong Zhang, Tianxu Zhang. "Principal Component Dictionary-based Patch Grouping for Image Denoising", J. of Vis. Commun. Image Represent.(JVCIR), 2018. [pdf]
Yi Chang, Luxin Yan, Sheng Zhong. "Transformed Low-rank Model for Line Pattern Noise Removal", IEEE International Conference on Computer Vision(ICCV), 2017. [pdf] [code]
Yi Chang, Luxin Yan, Sheng Zhong. "Hyper-Laplacian Regularized Unidirectional Low-rank Tensor Recovery for Multispectral Image Denoising", IEEE Computer Vision and Pattern Recognition(CVPR), 2017. [pdf] [code]
Yi Chang, Luxin Yan, Sheng Zhong. "Hyperspectral Image Restoration via Spectral and Spatial Low-rank Approximation", IEEE International Geoscience and Remote Sensing Symposium(IGARSS), 2017. [pdf]
Luxin Yan, Wenshan Liao, Yi Chang, Chunan Luo. "Joint Local and Non-local Priors for Ground-based Image Denoising", IEEE International Geoscience and Remote Sensing Symposium(IGARSS), 2017. [pdf]
Yi Chang, Luxin Yan, Tao Wu, Sheng Zhong. "Remote Sensing Image Stripe Noise Removal: From Image Decomposition Perspective", IEEE Trans. on Geosci. Remote Sens.(TGRS), 2016. [pdf] [code]
Yi Chang, Luxin Yan, Houzhang Fang, Chunan Luo. "Anisotropic Spectral-Spatial Total Variation Model for Multispectral Remote Sensing Image Destriping", IEEE Trans. on Image Process.(TIP), 2015. [pdf] [code]
Yi Chang, Luxin Yan, Houzhang Fang, Hai Liu. "Simultaneous Destriping and Denoising for Remote Sensing Images With Unidirectional Total Variation and Sparse Representation", IEEE Geosci. Remote Sens. Lett.(GRSL), 2014. [pdf]
Yi Chang^, Houzhang Fang^, Luxin Yan, Hai Liu. "Robust Destriping Method with Unidirectional Total Variation and Framelet Regularization", Optics Express, 2013. [pdf]
Yi Chang, Houzhang Fang, Luxin Yan, Hai Liu. "Joint Blind Deblurrring and Destriping For Remote Sensing Image", IEEE Conference on Image Processing(ICIP), 2013. [pdf]
Houzhang Fang, Luxin Yan, Hai Liu, Yi Chang. "Blind Poissonian Images Deconvolution with Framelet Regularization", Optic Letters(OL), 2013. [pdf]
Hai Liu, Luxin Yan, Yi Chang, Houzhang Fang, Tianxu Zhang. "Spectral Deconvolution and Feature Extraction with Robust Adaptive Tikhonov Regularization", IEEE Trans. on Instrum. and Meas.(TIM), 2013. [pdf]
Hai Liu, Tianxu Zhang, Luxin Yan, Houzhang Fang. Yi Chang, "A MAP-based Algorithm for Spectroscopic Semi-blind Deconvolution", Analyst, 2012. [pdf]
Note: * indicates the corresponding author, ^ indicates the equal contribution.
Full list of publications in Google Scholar.
Work experience
Associate Professor, School of AIA, Huazhong University of Science and Technology, 01.2024-Present
Lecture, School of AIA, Huazhong University of Science and Technology, 03.2022-01.2024
Postdoc, AI Center, Pengcheng Lab, 01.2020-01.2022
Internship, Youtu Lab, Tencent, 10.2017-02.2018
Research Assistant, School of Automation, Huazhong University of Science and Technology, 07.2015-06.2016
Research Assistant, School of EECS, Peking University, 07.2014-06.2015
Education
B.E., Automation, University of Electronic Science and Technology of China, 09.2007-06.2011
M.S., Pattern Recognition and Intelligence System, Huazhong University of Science and Technology, 09.2011-06.2014
Ph.D., Control Science and Enginerring, Huazhong University of Science and Technology, 09.2016-12.2019
Academic service
Reviewer
TPAMI, IJCV, TIP, TNNLS, TCYB, TCSVT, TGRS, TMM, TCI, TIM, TIV, IOT, JBHI, JSTARS, JPRS, RS, GRSL, SPL, JVCIR, Neurocomputing, AMM, AMC, Sensors, NCAA, Access, 中国科学信息科学, 自动化学报
CVPR, ICCV, ECCV, AAAI, ACMMM, ACCV, ICIG
Member
IEEE Member, ACM Member, CSIG Member