| Image super-resolution via sparse representation J Yang, J Wright, TS Huang, Y Ma IEEE transactions on image processing 19 (11), 2861-2873, 2010 | 5880 | 2010 |
| Locality-constrained linear coding for image classification J Wang, J Yang, K Yu, F Lv, T Huang, Y Gong 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 3971 | 2010 |
| Linear spatial pyramid matching using sparse coding for image classification J Yang, K Yu, Y Gong, T Huang 2009 IEEE Conference on computer vision and pattern recognition, 1794-1801, 2009 | 3913 | 2009 |
| Image super-resolution as sparse representation of raw image patches J Yang, J Wright, T Huang, Y Ma 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 2070 | 2008 |
| 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 | 930 | 2012 |
| Enlightengan: Deep light enhancement without paired supervision Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ... IEEE transactions on image processing 30, 2340-2349, 2021 | 848 | 2021 |
| 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 | 841 | 2015 |
| Learning With L1 graph for image analysis B Cheng, J Yang, S Yan, Y Fu, TS Huang IEEE Transactions on Image Processing 19 (4), 2010 | 702 | 2010 |
| Investigating haze-relevant features in a learning framework for image dehazing K Tang, J Yang, J Wang Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 621 | 2014 |
| Learning from noisy labels with distillation Y Li, J Yang, Y Song, L Cao, J Luo, LJ Li Proceedings of the IEEE international conference on computer vision, 1910-1918, 2017 | 545 | 2017 |
| Fine-grained recognition without part annotations J Krause, H Jin, J Yang, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 534 | 2015 |
| Robust image sentiment analysis using progressively trained and domain transferred deep networks Q You, J Luo, H Jin, J Yang Proceedings of the AAAI conference on Artificial Intelligence 29 (1), 2015 | 529 | 2015 |
| Slimmable neural networks J Yu, L Yang, N Xu, J Yang, T Huang arXiv preprint arXiv:1812.08928, 2018 | 472 | 2018 |
| Supervised translation-invariant sparse coding J Yang, K Yu, T Huang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 432 | 2010 |
| Rapid: Rating pictorial aesthetics using deep learning X Lu, Z Lin, H Jin, J Yang, JZ Wang Proceedings of the 22nd ACM international conference on Multimedia, 457-466, 2014 | 418 | 2014 |
| CGCG clinical practice guidelines for the management of adult diffuse gliomas T Jiang, Y Mao, W Ma, Q Mao, Y You, X Yang, C Jiang, C Kang, X Li, ... Cancer letters 375 (2), 263-273, 2016 | 392 | 2016 |
| 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 | 389 | 2018 |
| Fast image super-resolution based on in-place example regression J Yang, Z Lin, S Cohen Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 383 | 2013 |
| Youtube-vos: Sequence-to-sequence video object segmentation N Xu, L Yang, Y Fan, J Yang, D Yue, Y Liang, B Price, S Cohen, T Huang Proceedings of the European conference on computer vision (ECCV), 585-601, 2018 | 359 | 2018 |
| Efficient video object segmentation via network modulation L Yang, Y Wang, X Xiong, J Yang, AK Katsaggelos Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 344 | 2018 |
Zhe L. LinSenior Principal Scientist, Adobe ResearchVerified email at adobe.com
