| Deblurring Text Images via L0-Regularized Intensity and Gradient Prior J Pan, Z Hu, Z Su, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014 | 277 | 2014 |
| A Comparative Study for Single Image Blind Deblurring WS Lai, JB Huang, Z Hu, N Ahuja, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 163 | 2016 |
| -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond J Pan, Z Hu, Z Su, MH Yang IEEE transactions on pattern analysis and machine intelligence 39 (2), 342-355, 2016 | 111 | 2016 |
| Good regions to deblur Z Hu, MH Yang European conference on computer vision, 59-72, 2012 | 111 | 2012 |
| Deblurring low-light images with light streaks Z Hu, S Cho, J Wang, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 104 | 2014 |
| Deblurring face images with exemplars J Pan, Z Hu, Z Su, MH Yang European conference on computer vision, 47-62, 2014 | 92 | 2014 |
| Single image deblurring with adaptive dictionary learning Z Hu, JB Huang, MH Yang 2010 IEEE International Conference on Image Processing, 1169-1172, 2010 | 77 | 2010 |
| Joint Depth Estimation and Camera Shake Removal from Single Blurry Image Z Hu, L Xu, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 64 | 2014 |
| Fast Non-uniform Deblurring using Constrained Camera Pose Subspace. Z Hu, MH Yang BMVC 2 (3), 4, 2012 | 63 | 2012 |
| Soft-Segmentation Guided Object Motion Deblurring J Pan, Z Hu, Z Su, HY Lee, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 44 | 2016 |
| Learning to deblur images with exemplars J Pan, W Ren, Z Hu, MH Yang IEEE transactions on pattern analysis and machine intelligence 41 (6), 1412-1425, 2018 | 22 | 2018 |
| Image Deblurring using Smartphone Inertial Sensors Z Hu, L Yuan, S Lin, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 22 | 2016 |
| Gated fusion network for joint image deblurring and super-resolution X Zhang, H Dong, Z Hu, WS Lai, F Wang, MH Yang arXiv preprint arXiv:1807.10806, 2018 | 20 | 2018 |
| Learning good regions to deblur images Z Hu, MH Yang International Journal of Computer Vision 115 (3), 345-362, 2015 | 17 | 2015 |
| Efficient super resolution using binarized neural network Y Ma, H Xiong, Z Hu, L Ma Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 6 | 2019 |
| Learning to extract flawless slow motion from blurry videos M Jin, Z Hu, P Favaro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 5 | 2019 |
| Multi-scale video frame-synthesis network with transitive consistency loss Z Hu, Y Ma, L Ma arXiv preprint arXiv:1712.02874, 2017 | 5 | 2017 |
| Image deblurring based on light streaks J Wang, S Cho, Z Hu US Patent 9,392,173, 2016 | 5 | 2016 |
| Debluring low-resolution images J Pan, Z Hu, Z Su, MH Yang Asian Conference on Computer Vision, 111-127, 2016 | 2 | 2016 |
| Gated Fusion Network for Degraded Image Super Resolution X Zhang, H Dong, Z Hu, WS Lai, F Wang, MH Yang International Journal of Computer Vision, 1-23, 2020 | | 2020 |
Ming-Hsuan YangProfessor of University of California at Merced; Research Scientist at GoogleVerified email at ucmerced.edu
