Baifeng Shi

According to our database, Baifeng Shi authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

When Do We Not Need Larger Vision Models?

Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell

CoRR, 2024

Humanoid Locomotion as Next Token Prediction.

Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik

CoRR, 2024

Rethinking Patch Dependence for Masked Autoencoders.

Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg

CoRR, 2024

2023

Recursive Visual Programming.

Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell

CoRR, 2023

LLM-grounded Video Diffusion Models.

Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

CoRR, 2023

Refocusing Is Key to Transfer Learning.

Baifeng Shi, Siyu Gai, Trevor Darrell, Xin Wang

CoRR, 2023

Top-Down Visual Attention from Analysis by Synthesis.

Baifeng Shi, Trevor Darrell, Xin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robot Learning with Sensorimotor Pre-training.

Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik

Proceedings of the Conference on Robot Learning, 2023

2022

Visual Attention Emerges from Recurrent Sparse Reconstruction.

Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Temporal Action Detection with Multi-level Supervision.

Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Auxiliary Task Reweighting for Minimum-data Learning.

Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective.

Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning.

Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu

Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised Action Localization by Generative Attention Modeling.

Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020