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Baifeng Shi
Baifeng Shi
Email confirmado em berkeley.edu - Página inicial
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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
1722020
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
1172020
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
1002020
Auxiliary Task Reweighting for Minimum-data Learning
B Shi, J Hoffman, K Saenko, T Darrell, H Xu
NeurIPS 2020, 2020
312020
Robot Learning with Sensorimotor Pre-training
I Radosavovic, B Shi, L Fu, K Goldberg, T Darrell, J Malik
CoRL 2023, 2023
162023
Top-Down Visual Attention from Analysis by Synthesis
B Shi, T Darrell, X Wang
CVPR 2023, 2023
142023
Temporal Action Detection with Multi-level Supervision
B Shi, Q Dai, J Hoffman, K Saenko, T Darrell, H Xu
ICCV 2021, 2020
122020
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
ICLR 2024, 2023
62023
Humanoid Locomotion as Next Token Prediction
I Radosavovic, B Zhang, B Shi, J Rajasegaran, S Kamat, T Darrell, ...
arXiv preprint arXiv:2402.19469, 2024
32024
Refocusing is key to transfer learning
B Shi, S Gai, T Darrell, X Wang
arXiv preprint arXiv:2305.15542, 2023
22023
When Do We Not Need Larger Vision Models?
B Shi, Z Wu, M Mao, X Wang, T Darrell
arXiv preprint arXiv:2403.13043, 2024
2024
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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