| Generative image inpainting with contextual attention J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 839 | 2018 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 613 | 2017 |
| Slimmable Neural Networks J Yu, L Yang, N Xu, J Yang, T Huang International Conference on Learning Representations (ICLR), 2019, 2018 | 499 | 2018 |
| Free-form image inpainting with gated convolution J Yu, Z Lin, J Yang, X Shen, X Lu, TS Huang International Conference on Computer Vision (ICCV), 2019, 2019 | 376 | 2019 |
| Unitbox: An advanced object detection network J Yu, Y Jiang, Z Wang, Z Cao, T Huang ACM International Conference on Multimedia (ACM MM), 2016, 2016 | 304 | 2016 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool, L Zhang, MH Yang, M Haris, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 151 | 2018 |
| Wide activation for efficient and accurate image super-resolution J Yu, Y Fan, J Yang, N Xu, Z Wang, X Wang, T Huang BMVC 2019 (challenge report of the winning solution in NTIRE Challenge on …, 2018 | 150 | 2018 |
| Foreground-aware Image Inpainting W Xiong, J Yu, Z Lin, J Yang, X Lu, C Barnes, J Luo Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 104 | 2019 |
| Universally slimmable networks and improved training techniques J Yu, T Huang International Conference on Computer Vision (ICCV), 2019, 2019 | 72 | 2019 |
| Conformer: Convolution-augmented transformer for speech recognition A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ... arXiv preprint arXiv:2005.08100, 2020 | 53 | 2020 |
| Balanced two-stage residual networks for image super-resolution Y Fan, H Shi, J Yu, D Liu, W Han, H Yu, Z Wang, X Wang, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 52 | 2017 |
| AutoSlim: Towards One-Shot Architecture Search for Channel Numbers J Yu, T Huang NeurIPS 2019 Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 49* | 2019 |
| Improving object detection from scratch via gated feature reuse Z Shen, H Shi, J Yu, H Phan, R Feris, L Cao, D Liu, X Wang, T Huang, ... BMVC 2019, 2017 | 36* | 2017 |
| Wide-activated deep residual networks based restoration for BPG-compressed images Y Fan, J Yu, TS Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 34 | 2018 |
| ContextNet: Improving convolutional neural networks for automatic speech recognition with global context W Han, Z Zhang, Y Zhang, J Yu, CC Chiu, J Qin, A Gulati, R Pang, Y Wu arXiv preprint arXiv:2005.03191, 2020 | 28 | 2020 |
| Bignas: Scaling up neural architecture search with big single-stage models J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ... European Conference on Computer Vision (ECCV), 2020, 2020 | 26 | 2020 |
| Method and apparatus for neural network training and construction and method and apparatus for object detection YU Jiahui, Q Yin US Patent 10,769,493, 2020 | 15 | 2020 |
| Ntire 2020 challenge on image and video deblurring S Nah, S Son, RT Huck, KM Lee, Y Tseng, YS Xu, CM Chiang, YM Tsai, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
| Pyramid attention networks for image restoration Y Mei, Y Fan, Y Zhang, J Yu, Y Zhou, D Liu, Y Fu, TS Huang, H Shi arXiv preprint arXiv:2004.13824, 2020 | 11 | 2020 |
| Universal asr: Unify and improve streaming asr with full-context modeling J Yu, W Han, A Gulati, CC Chiu, B Li, TN Sainath, Y Wu, R Pang arXiv preprint arXiv:2010.06030, 2020 | 9* | 2020 |
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
