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 | 741 | 2017 |
Detecting Visual Relationships with Deep Relational Networks B Dai, Y Zhang, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2017 | 586 | 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 | 491 | 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 | 414 | 2020 |
Extract free dense labels from clip C Zhou, CC Loy, B Dai European Conference on Computer Vision, 696-712, 2022 | 346 | 2022 |
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 | 321 | 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 | 287 | 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 | 241 | 2021 |
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning Y Guo, C Yang, A Rao, Y Wang, Y Qiao, D Lin, B Dai arXiv preprint arXiv:2307.04725, 2023 | 218 | 2023 |
Contrastive Learning for Image Captioning B Dai, D Lin 31st Conference on Neural Information Processing Systems (NIPS 2017), 2017 | 204 | 2017 |
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 | 200* | 2022 |
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 | 144 | 2020 |
Move Forward and Tell: A Progressive Generator of Video Descriptions Y Xiong, B Dai, D Lin European Conference on Computer Vision (ECCV) 2018, 2018 | 126 | 2018 |
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 | 121 | 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 | 118 | 2020 |
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 | 100 | 2021 |
Recursive Visual Sound Separation Using Minus-Plus Net X Xu, B Dai, D Lin IEEE International Conference on Computer Vision (ICCV) 2019, 2019 | 93 | 2019 |
Video representation learning with visual tempo consistency C Yang, Y Xu, B Dai, B Zhou arXiv preprint arXiv:2006.15489, 2020 | 92 | 2020 |
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, ... arXiv preprint arXiv:2309.15103, 2023 | 81 | 2023 |
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis X Pan, X Xu, CC Loy, C Theobalt, B Dai Neural Information Processing Systems (NeurIPS) 2021, 2021 | 80 | 2021 |