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Bo Dai
Bo Dai
Verified email at hku.hk - Homepage
Title
Cited by
Cited by
Year
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
7882017
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
6732022
Detecting Visual Relationships with Deep Relational Networks
B Dai, Y Zhang, D Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2017
6082017
Extract free dense labels from clip
C Zhou, CC Loy, B Dai
European Conference on Computer Vision, 696-712, 2022
5062022
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
5002023
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
4732020
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
3722020
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
3642020
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
3092021
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
260*2022
Contrastive Learning for Image Captioning
B Dai, D Lin
31st Conference on Neural Information Processing Systems (NIPS 2017), 2017
2172017
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
1792023
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
1632020
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
1622023
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
1502021
Move Forward and Tell: A Progressive Generator of Video Descriptions
Y Xiong, B Dai, D Lin
European Conference on Computer Vision (ECCV) 2018, 2018
1372018
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
1332025
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
1282023
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
1262020
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
1242021
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Articles 1–20