| Towards Diverse and Natural Image Descriptions via a Conditional GAN B Dai, S Fidler, R Urtasun, D Lin IEEE International Conference on Computer Vision (ICCV) 2017, 2017 | 794 | 2017 |
| Revisiting skeleton-based action recognition H Duan, Y Zhao, K Chen, D Lin, B Dai IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 711 | 2022 |
| Detecting Visual Relationships with Deep Relational Networks B Dai, Y Zhang, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2017 | 611 | 2017 |
| Animatediff: Animate your personalized text-to-image diffusion models without specific tuning Y Guo, C Yang, A Rao, Z Liang, Y Wang, Y Qiao, M Agrawala, D Lin, ... arXiv preprint arXiv:2307.04725, 2023 | 599 | 2023 |
| Extract free dense labels from clip C Zhou, CC Loy, B Dai European Conference on Computer Vision, 696-712, 2022 | 541 | 2022 |
| Temporal Pyramid Network for Action Recognition C Yang, Y Xu, J Shi, B Dai, B Zhou IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020 | 489 | 2020 |
| Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation X Pan, X Zhan, B Dai, D Lin, CC Loy, P Luo European Conference on Computer Vision (ECCV) 2020, 2020 | 387 | 2020 |
| FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding D Shao, Y Zhao, B Dai, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020 | 376 | 2020 |
| Focal frequency loss for image reconstruction and synthesis L Jiang, B Dai, W Wu, CC Loy Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 325 | 2021 |
| Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering Y Xiangli, L Xu, X Pan, N Zhao, A Rao, C Theobalt, B Dai, D Lin European conference on computer vision, 106-122, 2022 | 275* | 2022 |
| Contrastive Learning for Image Captioning B Dai, D Lin 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017 | 219 | 2017 |
| Lavie: High-quality video generation with cascaded latent diffusion models Y Wang, X Chen, X Ma, S Zhou, Z Huang, Y Wang, C Yang, Y He, J Yu, ... International Journal of Computer Vision, 1-20, 2024 | 213 | 2024 |
| Generative diffusion prior for unified image restoration and enhancement B Fei, Z Lyu, L Pan, J Zhang, W Yang, T Luo, B Zhang, B Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 183 | 2023 |
| Self-Supervised Scene De-occlusion X Zhan, X Pan, B Dai, Z Liu, D Lin, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020 | 164 | 2020 |
| Scaffold-gs: Structured 3d gaussians for view-adaptive rendering T Lu, M Yu, L Xu, Y Xiangli, L Wang, D Lin, B Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 163 | 2023 |
| Diffbir: Toward blind image restoration with generative diffusion prior X Lin, J He, Z Chen, Z Lyu, B Dai, F Yu, Y Qiao, W Ouyang, C Dong European Conference on Computer Vision, 430-448, 2025 | 157 | 2025 |
| Unsupervised 3D Shape Completion through GAN Inversion J Zhang, X Chen, Z Cai, L Pan, H Zhao, S Yi, CK Yeo, B Dai, CC Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2021 | 152 | 2021 |
| Move Forward and Tell: A Progressive Generator of Video Descriptions Y Xiong, B Dai, D Lin European Conference on Computer Vision (ECCV) 2018, 2018 | 139 | 2018 |
| Deceive d: Adaptive pseudo augmentation for gan training with limited data L Jiang, B Dai, W Wu, CC Loy Advances in Neural Information Processing Systems 34, 21655-21667, 2021 | 129 | 2021 |
| Do 2d gans know 3d shape? unsupervised 3d shape reconstruction from 2d image gans X Pan, B Dai, Z Liu, CC Loy, P Luo International Conference on Learning Representations (ICLR) 2021, 2020 | 128 | 2020 |
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
