Baifeng Shi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Diffusion Model

Visual Attention

Action Detection

Top Venues

Publications

Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
When Do We Not Need Larger Vision Models? CoRR (2024)
Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. CoRR (2024)
Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
LLM-grounded Video Diffusion Models. ICLR (2024)
Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
Humanoid Locomotion as Next Token Prediction. CoRR (2024)
Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
Rethinking Patch Dependence for Masked Autoencoders. CoRR (2024)
Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
Robot Learning with Sensorimotor Pre-training. CoRR (2023)
Baifeng Shi, Trevor Darrell, Xin Wang
Top-Down Visual Attention from Analysis by Synthesis. CVPR (2023)
Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
LLM-grounded Video Diffusion Models. CoRR (2023)
Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
Recursive Visual Programming. CoRR (2023)
Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
Robot Learning with Sensorimotor Pre-training. CoRL (2023)
Baifeng Shi, Trevor Darrell, Xin Wang
Top-Down Visual Attention from Analysis by Synthesis. CoRR (2023)
Baifeng Shi, Siyu Gai, Trevor Darrell, Xin Wang
Refocusing Is Key to Transfer Learning. CoRR (2023)
Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
Visual Attention Emerges from Recurrent Sparse Reconstruction. CoRR (2022)
Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
Visual Attention Emerges from Recurrent Sparse Reconstruction. ICML (2022)
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Temporal Action Detection with Multi-level Supervision. ICCV (2021)
Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. ECCV (29) (2020)
Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang
Weakly-Supervised Action Localization by Generative Attention Modeling. CVPR (2020)
Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. CoRR (2020)
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Auxiliary Task Reweighting for Minimum-data Learning. NeurIPS (2020)
Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. ICML (2020)
Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. CoRR (2020)
Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Temporal Action Detection with Multi-level Supervision. CoRR (2020)
Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang
Weakly-Supervised Action Localization by Generative Attention Modeling. CoRR (2020)
Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
Auxiliary Task Reweighting for Minimum-data Learning. CoRR (2020)