Jinshan Pan

Professor, Nanjing University of Science and Technology

Email: sdluran[at]gmail[dot]com


Research Interest

My research interest includes image deblurring, image/video enhancement and analysis, and related vision problems.

I am looking for several new Ph.D. students working on some innovative and exciting computer vision research and projects. Please contact me if you are interested.


Latest News

  • Feb. 2024: Two papers are accepted by TPAMI.
  • Jan. 2024: One paper is accepted by TPAMI.
  • Jan. 2024: I am invited to be an Area Chair for ICML 2024.
  • Oct. 2023: I am invited to be an Area Chair for ECCV 2024.
  • Sep. 2023: I am invited to be an Area Chair for ICLR 2024.
  • Sep. 2023: One paper is accepted by NeurIPS 2023.
  • Aug. 2023: I am invited to be an Area Chair for WACV 2024.
  • Jul. 2023: Three papers are accepted by ICCV 2023.
  • Jul. 2023: I am invited to be a Senior Program Committee member for AAAI 2024.
  • Apr. 2023: I am invited to be an Area Chair for BMVC 2023.
  • Mar. 2023: I am invited to be an Area Editor for CVIU.
  • Mar. 2023: Four papers (including two highlights) are accepted by CVPR 2023.
  • Jan. 2023: One paper is accepted by IEEE TPAMI.
  • Sep. 2022: One paper is accepted by NeurIPS 2022.
  • Sep. 2022: I am invited to be an Area Chair for CVPR 2023.
  • Jul. 2022: One paper is accepted by ECCV 2022.
  • Mar. 2022: One paper is accepted by CVPR 2022.
  • Jan. 2022: One paper is accepted by IJCV and three papers are accepted by IEEE TIP.
  • Dec. 2021: Two papers are accepted by AAAI 2022.
  • Jul. 2021: One paper is accepted by TPAMI and two papers are accepted by ICCV 2021.
  • Apr. 2021: I am invited to be an Area Chair for CVPR 2022.
  • Mar. 2021: Three papers are accepted by CVPR 2021.
  • Dec. 2020: Two papers are accepted by IEEE TIP.
  • Aug. 2020: Two papers are accepted by IEEE TIP.
  • Jul. 2020: Two papers are accepted by ECCV 2020.
  • Feb. 2020: Two papers are accepted by CVPR 2020.
  • Jan. 2020: One paper is accepted by TPAMI.
  • Jan. 2020: Three papers are accepted by IEEE TIP.
  • Dec. 2019: Two papers are accepted by AAAI 2020.
  • Sep. 2019: Two papers are accepted by ICCV 2019.
  • Apr. 2019: We have released our stereo blur dataset [download].
  • Mar. 2019: Two papers (including one Oral) are accepted by CVPR 2019.
  • Jan. 2019: Two papers are accepted by IJCV.
  • Jul. 2018: One paper is accepted by ECCV 2018.
  • Mar. 2018: One paper is accepted by TPAMI.
  • Mar. 2018: Six papers (including one Spotlight) are accepted by CVPR 2018.

Selected Publications [Google Scholar]

Jiangxin Dong, Jinshan Pan, Zhongbao Yang, Jinhui Tang, "Multi-scale Residual Low-Pass Filter Network for Image Deblurring", IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Project] [Paper]

Xiang Li, Jiangxin Dong, Jinhui Tang, Jinshan Pan, "DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution", IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Project] [Paper]

Long Sun, Jiangxin Dong, Jinhui Tang, Jinshan Pan, "Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution", IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[Project] [Paper]

Lingshun Kong, Jiangxin Dong, Jianjun Ge, Mingqiang Li, Jinshan Pan, "Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Highlight).
[Project] [Paper] [Supplemental Material]

Xiang Chen, Hao Li, Mingqiang Li, Jinshan Pan, "Learning a Sparse Transformer Network for Effective Image Deraining", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Highlight).
[Project] [Paper] [Supplemental Material]

Jinshan Pan, Boming Xu, Jiangxin Dong, Jianjun Ge, Jinhui Tang, "Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Project] [Paper] [Supplemental Material]

Haoran Bai, Di Kang, Haoxian Zhang, Jinshan Pan, Linchao Bao, "FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper] [Supplemental Material] [Project]

Jinshan Pan, Boming Xu, Haoran Bai, Jinhui Tang, and Ming-Hsuan Yang, "Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[Project] [Paper]

Long Sun, Jinshan Pan, and Jinhui Tang, "ShuffleMixer: An Efficient ConvNet for Image Super-Resolution", Advances in Neural Information Processing Systems (NeurIPS), 2022 (Spotlight presentation).
[Project] [Paper]

Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, and Ming-Hsuan Yang, "Learning Discriminative Shrinkage Deep Networks for Image Deconvolution", European Conference on Computer Vision (ECCV), 2022.
[Project] [Paper]

Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, and Zhentao Fan, "Unpaired Deep Image Deraining Using Dual Contrastive Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Project] [Paper]

Jiangxin Dong, Jinshan Pan, Jimmy Ren, Liang Lin, Jinhui Tang, and Ming-Hsuan Yang, "Learning Spatially Variant Linear Representation Models for Joint Filtering", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
[Project] [Paper]

Jinshan Pan, Haoran Bai, Jiangxin Dong, Jiawei Zhang, and Jinhui Tang, "Deep Blind Video Super-resolution", IEEE International Conference on Computer Vision (ICCV), 2021.
[Project] [Paper]

Yang Liu, Ziyu Yue, Jinshan Pan, and Zhixun Su, "Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer", IEEE International Conference on Computer Vision (ICCV), 2021.
[Project] [Paper]

Xinyi Zhang, Hang Dong, Jinshan Pan, Chao Zhu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Fei Wang, "Learning to Restore Hazy Video: A New Real-World Dataset and A New Method", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Dataset [Using c7q2 for data acquisition]] [Paper] [Supplemental material]

Liang Chen, Jiawei Zhang, Jinshan Pan, Songnan Lin, Faming Fang, and Jimmy S. Ren, "Learning a Non-blind Deblurring Network for Night Blurry Images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Supplemental material] [Code] [Datasets]

Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, and Zheng-Jun Zha, "Image De-Raining via Continual Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper]

Jiangxin Dong and Jinshan Pan, "Physics-Based Feature Dehazing Networks", European Conference on Computer Vision (ECCV), 2020.
[Project] [Paper] [Supplemental material] [Code]

Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, and Jimmy Ren, "Learning Event-Driven Video Deblurring and Interpolation", European Conference on Computer Vision (ECCV), 2020.
[Paper] [Supplemental material] [Code]

Jinshan Pan, Haoran Bai, and Jinhui Tang, "Cascaded Deep Video Deblurring Using Temporal Sharpness Prior", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Project] [Paper] [Supplemental material] [Code]

Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, and Ming-Hsuan Yang, "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Project] [Paper] [Code]

Jinshan Pan, Jiangxin Dong, Yang Liu, Jiawei Zhang, Jimmy Ren, Jinhui Tang, Yu-Wing Tai, and Ming-Hsuan Yang, "Physics-Based Generative Adversarial Models for Image Restoration and Beyond", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[Project] [Paper] [Code]

Jinshan Pan, Yang Liu, Deqing Sun, Jimmy Ren, Ming-Ming Cheng, Jian Yang, and Jinhui Tang, "Image Formation Model Guided Deep Image Super-Resolution", AAAI Conference on Artificial Intelligence (AAAI), 2020.
[Project] [Paper] [Code]

Songnan Lin, Jiawei Zhang, Jinshan Pan, Yicun Liu, Yongtian Wang, Jing Chen, and Jimmy Ren, "Learning to Deblur Face Images via Sketch Synthesis", AAAI Conference on Artificial Intelligence (AAAI), 2020.
[Project] [Paper] [Code]

Shangchen Zhou, Jiawei Zhang, Jinshan Pan*, Haozhe Xie, Wangmeng Zuo, and Jimmy Ren, "Spatio-Temporal Filter Adaptive Network for Video Deblurring", IEEE International Conference on Computer Vision (ICCV), 2019.
[Project] [Paper] [Code]

Yang Liu, Jinshan Pan*, Jimmy Ren, and Zhixun Su, "Learning Deep Priors for Image Dehazing", IEEE International Conference on Computer Vision (ICCV), 2019.
[Paper] [Code]

Jinshan Pan, Jiangxin Dong, Jimmy Ren, Liang Lin, Jinhui Tang, and Ming-Hsuan Yang, "Spatially Variant Linear Representation Models for Joint Filtering", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[Project] [Paper] [Code (PyTorch implementation from my student)]

Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, and Jimmy Ren, "DAVANet: Stereo Deblurring with View Aggregation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (Oral presentation)
[Project] [Paper] [Code] [Datasets]

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, and Ming-Hsuan Yang, "Blind Image Deblurring via Deep Discriminative Priors", International Journal of Computer Vision (IJCV), 2019.
[project] [paper] [Code]

Yibing Song, Jiawei Zhang, Lijun Gong, Shengfeng He, Linchao Bao, Jinshan Pan, Qingxiong Yang, and Ming-Hsuan Yang, "Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement", International Journal of Computer Vision (IJCV), 2019.
[Project] [Paper] [Code]

Liang Chen, Jinshan Pan, and Qing Li, "Robust Face Image Super-Resolution via Joint Learning of Subdivided Contextual Model", IEEE Transactions on Image Processing (TIP), 2019. (Coming soon!)
[Project] [Paper] [Code]

Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, and Ming-Hsuan Yang, "Learning Data Terms for Non-blind Deblurring", European Conference on Computer Vision (ECCV), 2018.
[Project] [Paper] [Code]

Jinshan Pan, Wenqi Ren, Zhe Hu, and Ming-Hsuan Yang, "Learning to Deblur Images with Exemplars", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
[Project] [Paper] [Code]

Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy Ren, et al., "Learning Dual Convolutional Neural Networks for Low-Level Vision", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Project] [Paper] [Supplemental material] [Code (PyTorch implementation)]

Jiawei Zhang, Jinshan Pan, Jimmy Ren, Yibing Song, Linchao Bao, Rynson Lau, and Ming-Hsuan Yang, "Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Project] [Paper] [Code]

Runde Li*, Jinshan Pan*, Zechao Li, and Jinhui Tang, "Single Image Dehazing via Conditional Generative Adversarial Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Project] [Paper] [Code]

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, and Ming-Hsuan Yang, "Learning a Discriminative Prior for Blind Image Deblurring", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Project] [Paper] [Code]

Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang, "Gated Fusion Network for Single Image Dehazing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Project] [Paper] [Code]

Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, and Liang Lin, "LSTM Pose Machines", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
[Project] [Paper] [Code]

Jinshan Pan, Deqing Sun, Hanspeter Pfister, and Ming-Hsuan Yang, "Deblurring Images via Dark Channel Prior", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
[Project] [Paper] [MATLAB code]

Jinshan Pan, Zhe Hu, Zhixun Su, and Ming-Hsuan Yang, "L0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
[Project] [Paper] [MATLAB code]

Jinshan Pan, Jiangxin Dong, Yu-Wing Tai, Zhixun Su, and Ming-Hsuan Yang, "Learning Discriminative Data Fitting Functions for Blind Image Deblurring", IEEE International Conference on Computer Vision (ICCV), 2017.
[Project] [Paper] [Code]

Jiangxin Dong, Jinshan Pan, Zhixun Su, and Ming-Hsuan Yang, "Blind Image Deblurring with Outlier Handling", IEEE International Conference on Computer Vision (ICCV), 2017.
[Project] [Paper] [Code]

Wenqi Ren, Jinshan Pan, Xiaocun Cao, and Ming-Hsuan Yang, "Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel", IEEE International Conference on Computer Vision (ICCV), 2017.
[Paper]

Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai, Rynson Lau, and Ming-Hsuan Yang, "Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[Paper] [Code]

Jinshan Pan, Deqing Sun, Hanspeter Pfister, and Ming-Hsuan Yang, "Blind Image Deblurring Using Dark Channel Prior", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral presentation, AR: 83/2145 ~3.9%)
[Project] [Paper] [MATLAB code]

Jinshan Pan, Zhouchen Lin, Zhixun Su, and Ming-Hsuan Yang, "Robust Kernel Estimation with Outliers Handling for Image Deblurring", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
[Project] [Paper] [MATLAB code]

Jinshan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee, and Ming-Hsuan Yang, "Soft-Segmentation Guided Object Motion Deblurring", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
[Project] [Paper] [MATLAB code]

Sifei Liu, Jinshan Pan, and Ming-Hsuan Yang, "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network", European Conference on Computer Vision (ECCV), 2016. (Oral presentation)
[Project] [Paper] [Code]

Wenqi Ren, Jinshan Pan, Hua Zhang, Xiaochun Cao, and Ming-Hsuan Yang, "Single Image Dehazing via Multi-Scale Convolutional Neural Networks with Holistic Edges", International Journal of Computer Vision (IJCV), 2019.
[Project] [Paper] [Test code]

Jinshan Pan, Zhe Hu, Zhixun Su, and Ming-Hsuan Yang, "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
[Project] [Paper] [MATLAB code] [Extension to deblurring natural images!]

Jinshan Pan*,Zhe Hu* (indicates equal contribution), Zhixun Su, and Ming-Hsuan Yang, "Deblurring Face Images with Exemplars", European Conference on Computer Vision (ECCV), 2014.
[Project] [Paper] [MATLAB code]

Jinshan Pan, Jongwoo Lim, Zhixun Su, and Ming-Hsuan Yang, "L0-Regularized Object Representation for Visual Tracking", British Machine Vision Conference (BMVC), 2014. (Oral presentation, AR: 33/431 ~7.7%)
[Project] [Paper] [MATLAB code]

Jinshan Pan, Risheng Liu, Zhixun Su, and Guili Liu, "Motion Blur Kernel Estimation via Salient Edges and Low Rank Prior", IEEE International Conference on Multimedia and Expo. (ICME), 2014. (Oral presentation, AR: 98/716 ~13.6%)
[Project] [Paper] [MATLAB code]

Jinshan Pan and Zhixun Su, "Fast L0-Regularized Kernel Estimation for Robust Motion Deblurring", IEEE Signal Processing Letters (SPL), 2013.
[Project] [Paper] [MATLAB code]

Jinshan Pan inshan Pan, Risheng Liu, Zhixun Su, and Xianfeng Gu, "Kernel Estimation from Salient Structure for Robust Motion Deblurring", Signal Processing: Image Communication, 2013.
[Project] [Paper] [MATLAB code]