| Image captioning with semantic attention Q You, H Jin, Z Wang, C Fang, J Luo Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1948 | 2016 |
| Universal style transfer via feature transforms Y Li, C Fang, J Yang, Z Wang, X Lu, MH Yang Advances in neural information processing systems 30, 2017 | 953 | 2017 |
| Coupled dictionary training for image super-resolution J Yang, Z Wang, Z Lin, S Cohen, T Huang IEEE transactions on image processing 21 (8), 3467-3478, 2012 | 949 | 2012 |
| Deep networks for image super-resolution with sparse prior Z Wang, D Liu, J Yang, W Han, T Huang Proceedings of the IEEE international conference on computer vision, 370-378, 2015 | 939 | 2015 |
| Wide activation for efficient and accurate image super-resolution J Yu, Y Fan, J Yang, N Xu, Z Wang, X Wang, T Huang arXiv preprint arXiv:1808.08718, 2018 | 432 | 2018 |
| Multi-content gan for few-shot font style transfer S Azadi, M Fisher, VG Kim, Z Wang, E Shechtman, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 334 | 2018 |
| Image super-resolution by neural texture transfer Z Zhang, Z Wang, Z Lin, H Qi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 303 | 2019 |
| Diversified texture synthesis with feed-forward networks Y Li, C Fang, J Yang, Z Wang, X Lu, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 287 | 2017 |
| Robust single image super-resolution via deep networks with sparse prior D Liu, Z Wang, B Wen, J Yang, W Han, TS Huang IEEE Transactions on Image Processing 25 (7), 3194-3207, 2016 | 287 | 2016 |
| Visually-aware fashion recommendation and design with generative image models WC Kang, C Fang, Z Wang, J McAuley 2017 IEEE international conference on data mining (ICDM), 207-216, 2017 | 272 | 2017 |
| Robust video super-resolution with learned temporal dynamics D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang Proceedings of the IEEE International Conference on Computer Vision, 2507-2515, 2017 | 236 | 2017 |
| CamShift guided particle filter for visual tracking Z Wang, X Yang, Y Xu, S Yu Pattern Recognition Letters 30 (4), 407-413, 2009 | 207 | 2009 |
| Camshift Guided Particle Filter for Visual Tracking Z Wang, X Yang, Y Xu, S Yu Signal Processing Systems, 2007 IEEE Workshop on, 301 - 306, 2007 | 207 | 2007 |
| Visual to sound: Generating natural sound for videos in the wild Y Zhou, Z Wang, C Fang, T Bui, TL Berg Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 202 | 2018 |
| Towards privacy-preserving visual recognition via adversarial training: A pilot study Z Wu, Z Wang, Z Wang, H Jin Proceedings of the European conference on computer vision (ECCV), 606-624, 2018 | 160 | 2018 |
| Semantic natural language vector space Z Wang, Q You, H Jin, C Fang US Patent 9,792,534, 2017 | 148 | 2017 |
| Re-weighted adversarial adaptation network for unsupervised domain adaptation Q Chen, Y Liu, Z Wang, I Wassell, K Chetty Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 145 | 2018 |
| Flow-grounded spatial-temporal video prediction from still images Y Li, C Fang, J Yang, Z Wang, X Lu, MH Yang Proceedings of the European Conference on Computer Vision (ECCV), 600-615, 2018 | 136 | 2018 |
| Self-Tuned Deep Super Resolution Z Wang, Y Yang, Z Wang, S Chang, W Han, J Yang, TS Huang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015 | 108 | 2015 |
| Learning Super-Resolution Jointly From External and Internal Examples Z Wang, Y Yang, Z Wang, S Chang, J Yang, TS Huang Image Processing, IEEE Transactions on 24 (11), 4359 - 4371, 2015 | 107 | 2015 |
Hailin JinSenior Principal Scientist, Adobe ResearchVerified email at adobe.com
