| Image super-resolution using very deep residual channel attention networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu Proceedings of the European conference on computer vision (ECCV), 286-301, 2018 | 2324 | 2018 |
| Residual dense network for image super-resolution Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2164 | 2018 |
| Age synthesis and estimation via faces: A survey Y Fu, G Guo, TS Huang IEEE transactions on pattern analysis and machine intelligence 32 (11), 1955 …, 2010 | 856 | 2010 |
| Image-based human age estimation by manifold learning and locally adjusted robust regression G Guo, Y Fu, CR Dyer, TS Huang IEEE Transactions on Image Processing 17 (7), 1178-1188, 2008 | 794 | 2008 |
| Learning with -graph for image analysis B Cheng, J Yang, S Yan, Y Fu, TS Huang IEEE transactions on image processing 19 (4), 858-866, 2009 | 692 | 2009 |
| Human age estimation using bio-inspired features G Guo, G Mu, Y Fu, TS Huang 2009 IEEE conference on computer vision and pattern recognition, 112-119, 2009 | 679 | 2009 |
| Human age estimation with regression on discriminative aging manifold Y Fu, TS Huang IEEE Transactions on Multimedia 10 (4), 578-584, 2008 | 522 | 2008 |
| Deep collaborative filtering via marginalized denoising auto-encoder S Li, J Kawale, Y Fu Proceedings of the 24th ACM international on conference on information and …, 2015 | 443 | 2015 |
| Large scale incremental learning Y Wu, Y Chen, L Wang, Y Ye, Z Liu, Y Guo, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 428 | 2019 |
| Analysis of EEG signals and facial expressions for continuous emotion detection M Soleymani, S Asghari-Esfeden, Y Fu, M Pantic IEEE Transactions on Affective Computing 7 (1), 17-28, 2015 | 419 | 2015 |
| Residual non-local attention networks for image restoration Y Zhang, K Li, K Li, B Zhong, Y Fu arXiv preprint arXiv:1903.10082, 2019 | 373 | 2019 |
| Tell me where to look: Guided attention inference network K Li, Z Wu, KC Peng, J Ernst, Y Fu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 359 | 2018 |
| Residual dense network for image restoration Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (7), 2480-2495, 2020 | 308 | 2020 |
| Skeleton based action recognition with convolutional neural network Y Du, Y Fu, L Wang 2015 3rd IAPR Asian conference on pattern recognition (ACPR), 579-583, 2015 | 306 | 2015 |
| Generalized transfer subspace learning through low-rank constraint M Shao, D Kit, Y Fu International Journal of Computer Vision 109 (1), 74-93, 2014 | 279 | 2014 |
| Multi-view clustering via deep matrix factorization H Zhao, Z Ding, Y Fu Thirty-first AAAI conference on artificial intelligence, 2017 | 278 | 2017 |
| Human action recognition and prediction: A survey Y Kong, Y Fu International Journal of Computer Vision 130 (5), 1366-1401, 2022 | 269 | 2022 |
| Manifold learning theory and applications Y Ma, Y Fu CRC press, 2012 | 258 | 2012 |
| Probabilistic models for inference about identity S Prince, P Li, Y Fu, U Mohammed, J Elder IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1), 144-157, 2011 | 256 | 2011 |
| Tdan: Temporally-deformable alignment network for video super-resolution Y Tian, Y Zhang, Y Fu, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 254 | 2020 |
Zhengming DingAssistant Professor of Computer Science, Tulane UniversityVerified email at tulane.edu
