| Semantic Image Inpainting with Deep Generative Models RA Yeh, C Chen, TY Lim, AG Schwing, M Hasegawa-Johnson, MN Do Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 1785* | 2017 |
| Video Frame Synthesis using Deep Voxel Flow Z Liu, RA Yeh, X Tang, Y Liu, A Agarwala International Conference on Computer Vision (ICCV), 2017 | 861 | 2017 |
| Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation H Wang, X Du, J Li, RA Yeh, G Shakhnarovich Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 389 | 2023 |
| Cooperative Exploration for Multi-Agent Deep Reinforcement Learning IJ Liu, U Jain, RA Yeh, A Schwing International Conference on Machine Learning, 6826-6836, 2021 | 110 | 2021 |
| Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Z Ren, RA Yeh, A Schwing Advances in Neural Information Processing Systems 33, 2020 | 108 | 2020 |
| Diverse generation for multi-agent sports games RA Yeh, AG Schwing, J Huang, K Murphy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 102 | 2019 |
| Time-Frequency Networks for Audio Super-Resolution TY Lim, RA Yeh, Y Xu, MN Do, M Hasegawa-Johnson 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 90 | 2018 |
| PIC: permutation invariant critic for multi-agent deep reinforcement learning IJ Liu, RA Yeh, AG Schwing Conference on Robot Learning, 590-602, 2020 | 87 | 2020 |
| Semantic Facial Expression Editing using Autoencoded Flow R Yeh, Z Liu, DB Goldman, A Agarwala arXiv preprint arXiv:1611.09961, 2016 | 83 | 2016 |
| Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts RA Yeh, J Xiong, WM Hwu, M Do, A Schwing Advances in Neural Information Processing Systems, 1909-1919, 2017 | 63 | 2017 |
| Chirality Nets for Human Pose Regression RA Yeh, YT Hu, A Schwing Advances in Neural Information Processing Systems, 8161-8171, 2019 | 55 | 2019 |
| Learning motion in feature space: Locally-consistent deformable convolution networks for fine-grained action detection KNC Mac, D Joshi, RA Yeh, J Xiong, RS Feris, MN Do Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 43* | 2019 |
| Unsupervised Textual Grounding: Linking Words to Image Concepts RA Yeh, MN Do, AG Schwing Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 43 | 2018 |
| Image Restoration with Deep Generative Models RA Yeh, TY Lim, C Chen, AG Schwing, M Hasegawa-Johnson, MN Do 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 36 | 2018 |
| SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data YT Hu, J Wang, RA Yeh, AG Schwing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 33 | 2021 |
| Adapting CLIP For Phrase Localization Without Further Training J Li, G Shakhnarovich, RA Yeh arXiv preprint arXiv:2204.03647, 2022 | 20 | 2022 |
| Multi-Decoder DPRNN: Source Separation for Variable Number of Speakers J Zhu, RA Yeh, M Hasegawa-Johnson ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 19* | 2021 |
| High-Throughput Synchronous Deep RL IJ Liu, RA Yeh, A Schwing Advances in Neural Information Processing Systems 33, 2020 | 15 | 2020 |
| Equivariance Discovery by Learned Parameter-Sharing RA Yeh, YT Hu, M Hasegawa-Johnson, A Schwing International Conference on Artificial Intelligence and Statistics, 1527-1545, 2022 | 14 | 2022 |
| Total Variation Optimization Layers for Computer Vision RA Yeh, YT Hu, Z Ren, AG Schwing IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 14 | 2022 |
Alexander SchwingUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
