| 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 | 1631 | 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 | 1035 | 2017 |
| 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 | 982 | 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 | 770 | 2020 |
| 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 | 676 | 2016 |
| 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 | 318 | 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 | 241 | 2019 |
| 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 | 236 | 2018 |
| Universally slimmable networks and improved training techniques J Yu, T Huang International Conference on Computer Vision (ICCV), 2019, 2019 | 212 | 2019 |
| 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 | 147 | 2020 |
| AutoSlim: Towards One-Shot Architecture Search for Channel Numbers J Yu, T Huang NeurIPS 2019 Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 141* | 2019 |
| 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 | 130 | 2020 |
| Simvlm: Simple visual language model pretraining with weak supervision Z Wang, J Yu, AW Yu, Z Dai, Y Tsvetkov, Y Cao arXiv preprint arXiv:2108.10904, 2021 | 97 | 2021 |
| 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 | 86 | 2017 |
| 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 | 69 | 2020 |
| 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 | 58* | 2017 |
| Generative adversarial networks for image and video synthesis: Algorithms and applications MY Liu, X Huang, J Yu, TC Wang, A Mallya Proceedings of the IEEE 109 (5), 839-862, 2021 | 54 | 2021 |
| 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 | 50 | 2018 |
| A better and faster end-to-end model for streaming asr B Li, A Gulati, J Yu, TN Sainath, CC Chiu, A Narayanan, SY Chang, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 43 | 2021 |
| Dual-mode 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 | 36 | 2020 |
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
