| Deep mean-shift priors for image restoration S Arjomand Bigdeli, M Zwicker, P Favaro, M Jin Advances in Neural Information Processing Systems 30, 2017 | 134 | 2017 |
| Learning to extract a video sequence from a single motion-blurred image M Jin, G Meishvili, P Favaro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 130 | 2018 |
| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 103 | 2023 |
| Learning to extract flawless slow motion from blurry videos M Jin, Z Hu, P Favaro Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 60 | 2019 |
| Normalized blind deconvolution M Jin, S Roth, P Favaro Proceedings of the European Conference on Computer Vision (ECCV), 668-684, 2018 | 49 | 2018 |
| Noise-blind image deblurring M Jin, S Roth, P Favaro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 46 | 2017 |
| Adaint: Learning adaptive intervals for 3d lookup tables on real-time image enhancement C Yang, M Jin, X Jia, Y Xu, Y Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 37 | 2022 |
| Learning face deblurring fast and wide M Jin, M Hirsch, P Favaro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 29 | 2018 |
| Adaptive propagation-based color-sampling for alpha matting M Jin, BK Kim, WJ Song IEEE Transactions on Circuits and Systems for Video Technology 24 (7), 1101-1110, 2014 | 24 | 2014 |
| Seplut: Separable image-adaptive lookup tables for real-time image enhancement C Yang, M Jin, Y Xu, R Zhang, Y Chen, H Liu European Conference on Computer Vision, 201-217, 2022 | 23 | 2022 |
| Learning to see through reflections M Jin, S Süsstrunk, P Favaro 2018 IEEE International Conference on Computational Photography (ICCP), 1-12, 2018 | 20 | 2018 |
| Plenoptic image motion deblurring P Chandramouli, M Jin, D Perrone, P Favaro IEEE Transactions on Image Processing 27 (4), 1723-1734, 2017 | 11 | 2017 |
| A random-forest random field approach for cellular image segmentation M Jin, LN Govindarajan, L Cheng 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1251-1254, 2014 | 10 | 2014 |
| Bilayer blind deconvolution with the light field camera M Jin, P Chandramouli, P Favaro Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 8 | 2015 |
| KNN-based color line model for image matting M Jin, BK Kim, WJ Song 2013 IEEE International Conference on Image Processing, 2480-2483, 2013 | 6 | 2013 |
| Lightweight network towards real-time image denoising on mobile devices Z Liu, M Jin, Y Chen, H Liu, C Yang, H Xiong 2023 IEEE International Conference on Image Processing (ICIP), 2270-2274, 2023 | 4 | 2023 |
| Local and nonlocal color line models for image matting BK Kim, M Jin, WJ Song IEICE Transactions on Fundamentals of Electronics, Communications and …, 2014 | 4 | 2014 |
| Matting method for extracting foreground object and apparatus for performing the matting method WJ Song, JIN Meiguang, BK Kim US Patent 9,489,588, 2016 | 2 | 2016 |
| Deep Mean-Shift Priors for Image Restoration S Arjomand, M Jin, P Favaro, M Zwicker | | 2017 |
| Appendix–AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement C Yang, M Jin, X Jia, Y Xu, Y Chen | | |
Paolo FavaroProfessor of Computer Vision, University of BernVerified email at iam.unibe.ch
