| Unpaired image-to-image translation using cycle-consistent adversarial networks JY Zhu, T Park, P Isola, AA Efros Proceedings of the IEEE international conference on computer vision, 2223-2232, 2017 | 16134 | 2017 |
| Cycada: Cycle-consistent adversarial domain adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell International conference on machine learning, 1989-1998, 2018 | 2426 | 2018 |
| Semantic image synthesis with spatially-adaptive normalization T Park, MY Liu, TC Wang, JY Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1924 | 2019 |
| Contrastive Learning for Unpaired Image-to-Image Translation T Park, AA Efros, R Zhang, JY Zhu European Conference on Computer Vision (ECCV), 2020 | 548 | 2020 |
| Swapping Autoencoder for Deep Image Manipulation T Park, JY Zhu, O Wang, J Lu, E Shechtman, AA Efros, R Zhang Neural Information Processing Systems (NeurIPS), 2020 | 183 | 2020 |
| Gaugan: semantic image synthesis with spatially adaptive normalization T Park, MY Liu, TC Wang, JY Zhu ACM SIGGRAPH 2019 Real-Time Live!, 1-1, 2019 | 86 | 2019 |
| Inverse optimal control for humanoid locomotion T Park, S Levine Robotics Science and Systems Workshop on Inverse Optimal Control and Robotic …, 2013 | 34 | 2013 |
| Contrastive feature loss for image prediction A Andonian, T Park, B Russell, P Isola, JY Zhu, R Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 9 | 2021 |
| Blobgan: Spatially disentangled scene representations D Epstein, T Park, R Zhang, E Shechtman, AA Efros Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 8 | 2022 |
| A deep learning algorithm to predict hazardous drinkers and the severity of alcohol-related problems using K-NHANES SY Kim, T Park, K Kim, J Oh, Y Park, DJ Kim Frontiers in psychiatry 12, 684406, 2021 | 5 | 2021 |
| Generating modified digital images utilizing a global and spatial autoencoder P Taesung, R Zhang, O Wang, J Zhu, J Lu, E Shechtman, AA Efros US Patent 11,544,880, 2023 | 2 | 2023 |
| Unpaired image-to-image translation using cycle-consistent adversarial networks (2017). arXiv preprint JY Zhu, T Park, P Isola, AA Efros arXiv preprint arXiv:1703.10593, 0 | 2 | |
| Modifying neural networks for synthetic conditional digital content generation utilizing contrastive perceptual loss B Russell, P Taesung, R Zhang, J Zhu, A Andonian US Patent 11,514,632, 2022 | 1 | 2022 |
| Generating modified digital images incorporating scene layout utilizing a swapping autoencoder P Taesung, AA Efros, E Shechtman, R Zhang, J Zhu US Patent App. 17/091,416, 2022 | 1 | 2022 |
| A customizable dynamic scenario modeling and data generation platform for autonomous driving J Shenoy, E Kim, X Yue, T Park, D Fremont, A Sangiovanni-Vincentelli, ... arXiv preprint arXiv:2011.14551, 2020 | 1 | 2020 |
| Domain Expansion of Image Generators Y Nitzan, M Gharbi, R Zhang, T Park, JY Zhu, D Cohen-Or, E Shechtman arXiv preprint arXiv:2301.05225, 2023 | | 2023 |
| ASSET: autoregressive semantic scene editing with transformers at high resolutions D Liu, S Shetty, T Hinz, M Fisher, R Zhang, T Park, E Kalogerakis ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022 | | 2022 |
| Machine Learning for Deep Image Manipulation T Park University of California, Berkeley, 2021 | | 2021 |
| Contrastive Feature Loss for Image Prediction Supplemental Materials A Andonian, T Park, B Russell, P Isola, JY Zhu, R Zhang | | |
| Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting K Mangalam, R Garg, J Rajasegaran, T Park | | |
Jun-Yan ZhuAssistant Professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
