| Semantic graph convolutional networks for 3d human pose regression L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 615 | 2019 |
| A good image generator is what you need for high-resolution video synthesis Y Tian, J Ren, M Chai, K Olszewski, X Peng, DN Metaxas, S Tulyakov International Conference on Learning Representations (ICLR), 2021 | 175 | 2021 |
| CR-GAN: learning complete representations for multi-view generation Y Tian, X Peng, L Zhao, S Zhang, DN Metaxas International Joint Conference on Artificial Intelligence (IJCAI), 2018 | 170 | 2018 |
| Learning to forecast and refine residual motion for image-to-video generation L Zhao, X Peng, Y Tian, M Kapadia, D Metaxas Proceedings of the European conference on computer vision (ECCV), 387-403, 2018 | 115 | 2018 |
| Joint optimization for consistent multiple graph matching J Yan, Y Tian, H Zha, X Yang, Y Zhang, SM Chu Proceedings of the IEEE international conference on computer vision (ICCV …, 2013 | 74 | 2013 |
| On the convergence of graph matching: Graduated assignment revisited Y Tian, J Yan, H Zhang, Y Zhang, X Yang, H Zha European conference on computer vision (ECCV), 821-835, 2012 | 59 | 2012 |
| HiCLIP: Contrastive language-image pretraining with hierarchy-aware attention S Geng, J Yuan, Y Tian, Y Chen, Y Zhang arXiv preprint arXiv:2303.02995, 2023 | 38 | 2023 |
| Hierarchically self-supervised transformer for human skeleton representation learning Y Chen, L Zhao, J Yuan, Y Tian, Z Xia, S Geng, L Han, DN Metaxas European Conference on Computer Vision, 185-202, 2022 | 33 | 2022 |
| Revisiting multimodal representation in contrastive learning: from patch and token embeddings to finite discrete tokens Y Chen, J Yuan, Y Tian, S Geng, X Li, D Zhou, DN Metaxas, H Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Rethinking kernel methods for node representation learning on graphs Y Tian, L Zhao, X Peng, D Metaxas Advances in neural information processing systems (Neurips), 2019 | 24 | 2019 |
| Dual Projection Generative Adversarial Networks for Conditional Image Generation L Han, MR Min, A Stathopoulos, Y Tian, R Gao, A Kadav, D Metaxas Proceedings of the IEEE international conference on computer vision (ICCV), 2021 | 21 | 2021 |
| Towards image-to-video translation: A structure-aware approach via multi-stage generative adversarial networks L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas International Journal of Computer Vision 128, 2514-2533, 2020 | 16 | 2020 |
| Ae-stylegan: Improved training of style-based auto-encoders L Han, SH Musunuri, MR Min, R Gao, Y Tian, D Metaxas Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 14 | 2022 |
| 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 | 8 | 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 | 8 | 2023 |
| Continual learning long short term memory X Guo, Y Tian, Q Xue, P Lampropoulos, S Eliuk, K Barner, X Wang Findings of the Association for Computational Linguistics: EMNLP 2020, 1817-1822, 2020 | 6 | 2020 |
| Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters W Wang, K Mrini, L Yang, S Kumar, Y Tian, X Yan, H Wang arXiv preprint arXiv:2403.02677, 2024 | 5 | 2024 |
| Video synthesis within a messaging system M Chai, K Olszewski, J Ren, Y Tian, S Tulyakov US Patent App. 17/491,226, 2022 | 5 | 2022 |
| Continual learning using cross connections Y Tian, X Wang, XUE Qinghan, SN Eliuk, X Guo US Patent App. 16/923,196, 2022 | 1 | 2022 |
| VMAS: Video-to-Music Generation via Semantic Alignment in Web Music Videos YB Lin, Y Tian, L Yang, G Bertasius, H Wang arXiv preprint arXiv:2409.07450, 2024 | | 2024 |
