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Baifeng Shi
Baifeng Shi
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Weakly-supervised action localization by generative attention modeling
B Shi, Q Dai, Y Mu, J Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1642020
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Z Luo, D Guillory, B Shi, W Ke, F Wan, T Darrell, H Xu
ECCV 2020, 2020
1122020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
B Shi, D Zhang, Q Dai, Z Zhu, Y Mu, J Wang
ICML 2020, 2020
932020
Auxiliary Task Reweighting for Minimum-data Learning
B Shi, J Hoffman, K Saenko, T Darrell, H Xu
NeurIPS 2020, 2020
302020
Top-Down Visual Attention from Analysis by Synthesis
B Shi, T Darrell, X Wang
CVPR 2023, 2023
112023
Temporal Action Detection with Multi-level Supervision
B Shi, Q Dai, J Hoffman, K Saenko, T Darrell, H Xu
ICCV 2021, 2020
112020
Robot Learning with Sensorimotor Pre-training
I Radosavovic, B Shi, L Fu, K Goldberg, T Darrell, J Malik
arXiv preprint arXiv:2306.10007, 2023
92023
Visual Attention Emerges from Recurrent Sparse Reconstruction
B Shi, Y Song, N Joshi, T Darrell, X Wang
ICML 2022, 2022
72022
LLM-Grounded Video Diffusion Models
L Lian, B Shi, A Yala, T Darrell, B Li
arXiv preprint arXiv:2309.17444, 2023
22023
Refocusing Is Key to Transfer Learning
B Shi, S Gai, T Darrell, X Wang
arXiv preprint arXiv:2305.15542, 2023
12023
Rethinking Patch Dependence for Masked Autoencoders
L Fu, L Lian, R Wang, B Shi, X Wang, A Yala, T Darrell, AA Efros, ...
arXiv preprint arXiv:2401.14391, 2024
2024
Recursive Visual Programming
J Ge, S Subramanian, B Shi, R Herzig, T Darrell
arXiv preprint arXiv:2312.02249, 2023
2023
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Articles 1–12