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

  • 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]

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), 2019.
[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]

Xiangyu Xu, Jinshan Pan, Yujin Zhang, and Ming-Hsuan Yang, "Motion Blur Kernel Estimation via Deep Learning", IEEE Transactions on Image Processing (TIP), 2018.
[Project] [Paper] [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]

Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, and Ming-Hsuan Yang, "Learning to Super-resolve Blurry Face and Text Images", IEEE International Conference on Computer Vision (ICCV), 2017.
[Paper] [Test code]

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] [MATALB 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] [MATALB 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] [MATALB 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] [MATALB 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] [MATALB 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] [MATALB 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] [MATALB code]

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