| Image super-resolution via sparse representation J Yang, J Wright, TS Huang, Y Ma IEEE transactions on image processing 19 (11), 2861-2873, 2010 | 4586 | 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 | 3577 | 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 | 3525 | 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 | 1683 | 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 | 765 | 2012 |
| 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 | 643 | 2010 |
| 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 | 584 | 2015 |
| A large-scale car dataset for fine-grained categorization and verification L Yang, P Luo, C Change Loy, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 515 | 2015 |
| Slimmable neural networks J Yu, L Yang, N Xu, J Yang, T Huang arXiv preprint arXiv:1812.08928, 2018 | 398 | 2018 |
| 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 | 394 | 2014 |
| Supervised translation-invariant sparse coding J Yang, K Yu, T Huang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 384 | 2010 |
| 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 | 366 | 2015 |
| Robust image sentiment analysis using progressively trained and domain transferred deep networks Q You, J Luo, H Jin, J Yang arXiv preprint arXiv:1509.06041, 2015 | 346 | 2015 |
| 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 | 297 | 2013 |
| 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 | 284 | 2014 |
| Text localization in natural images using stroke feature transform and text covariance descriptors W Huang, Z Lin, J Yang, J Wang Proceedings of the IEEE international conference on computer vision, 1241-1248, 2013 | 250 | 2013 |
| 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 | 242 | 2017 |
| Probabilistic elastic matching for pose variant face verification H Li, G Hua, Z Lin, J Brandt, J Yang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 229 | 2013 |
| Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework. R Xu, C Xiong, W Chen, JJ Corso AAAI 5, 6, 2015 | 225 | 2015 |
| Kinematic-parameter identification for serial-robot calibration based on POE formula R He, Y Zhao, S Yang, S Yang IEEE Transactions on Robotics 26 (3), 411-423, 2010 | 211 | 2010 |
Zhe L. LinSenior Principal Scientist, Adobe ResearchVerified email at adobe.com
