| 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 | 1983 | 2018 |
| 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 | 1312 | 2020 |
| 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 | 1284 | 2019 |
| 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 | 1244 | 2017 |
| 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 | 896 | 2016 |
| Slimmable neural networks J Yu, L Yang, N Xu, J Yang, T Huang arXiv preprint arXiv:1812.08928, 2018 | 444 | 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 | 392 | 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 | 307 | 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 | 282 | 2018 |
| Universally slimmable networks and improved training techniques J Yu, T Huang International Conference on Computer Vision (ICCV), 2019, 2019 | 269 | 2019 |
| 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 | 256 | 2021 |
| Coca: Contrastive captioners are image-text foundation models J Yu, Z Wang, V Vasudevan, L Yeung, M Seyedhosseini, Y Wu arXiv preprint arXiv:2205.01917, 2022 | 198 | 2022 |
| 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 | 190 | 2020 |
| 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 | 172 | 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 | 170* | 2019 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789, 2022 | 148 | 2022 |
| 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 | 103 | 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 | 98 | 2020 |
| 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 | 82 | 2021 |
| 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 | 72 | 2021 |
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
