| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2000 | 2017 |
| 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 | 135 | 2017 |
| Computed tomography super-resolution using convolutional neural networks H Yu, D Liu, H Shi, H Yu, Z Wang, X Wang, B Cross, M Bramler, TS Huang 2017 IEEE International Conference on Image Processing (ICIP), 3944-3948, 2017 | 94 | 2017 |
| High-resolution deep image matting H Yu, N Xu, Z Huang, Y Zhou, H Shi Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3217-3224, 2021 | 70 | 2021 |
| Any-precision deep neural networks H Yu, H Li, H Shi, TS Huang, G Hua Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10763 …, 2021 | 66 | 2021 |
| Foal: Fast online adaptive learning for cardiac motion estimation H Yu, S Sun, H Yu, X Chen, H Shi, TS Huang, T Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
| Image segmentation and object detection using fully convolutional neural network Y Wang, YU Haichao, D Gao, J Wang US Patent 10,304,193, 2019 | 29 | 2019 |
| Boosted dynamic neural networks H Yu, H Li, G Hua, G Huang, H Shi Proceedings of the AAAI conference on artificial intelligence 37 (9), 10989 …, 2023 | 14 | 2023 |
| Why is prompt tuning for vision-language models robust to noisy labels? CE Wu, Y Tian, H Yu, H Wang, P Morgado, YH Hu, L Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| The devil is in the details: A deep dive into the rabbit hole of data filtering H Yu, Y Tian, S Kumar, L Yang, H Wang arXiv preprint arXiv:2309.15954, 2023 | 12 | 2023 |
| A novel framework for 3d-2d vertebra matching H Yu, Y Fu, H Yu, Y Wei, X Wang, J Jiao, M Bramlet, T Kesavadas, H Shi, ... 2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019 | 11 | 2019 |
| Learning dynamic query combinations for transformer-based object detection and segmentation Y Cui, L Yang, H Yu International Conference on Machine Learning, 6591-6602, 2023 | 10 | 2023 |
| Is in-domain data really needed? A pilot study on cross-domain calibration for network quantization H Yu, L Yang, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Self-reproducing video frame interpolation J Deng, H Yu, Z Wang, X Wang, T Huang 2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019 | 4 | 2019 |
| Dropout prediction variation estimation using neuron activation strength H Yu, Z Chen, D Lin, G Shamir, J Han arXiv preprint arXiv:2110.06435, 2021 | 3 | 2021 |
| Exploring the role of audio in video captioning Y Shen, L Yang, L Wen, H Yu, E Elhamifar, H Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
Humphrey ShiGeorgia Tech | UIUC, Oregon | Picsart AI ResearchGeverifieerd e-mailadres voor gatech.edu