Shi, Baifeng

18 publications

CVPR 2025 NVILA: Efficient Frontier Visual Language Models Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu
TMLR 2025 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
NeurIPS 2025 Scaling RL to Long Videos Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han
CVPR 2025 Scaling Vision Pre-Training to 4k Resolution Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin
NeurIPS 2024 Humanoid Locomotion as Next Token Prediction Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
CoRL 2024 LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig
ICLR 2024 LLM-Grounded Video Diffusion Models Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
ECCV 2024 Recursive Visual Programming Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
NeurIPSW 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
ECCV 2024 When Do We Not Need Larger Vision Models? Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
NeurIPSW 2024 When Do We Not Need Larger Vision Models? Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
CoRL 2023 Robot Learning with Sensorimotor Pre-Training Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
CVPR 2023 Top-Down Visual Attention from Analysis by Synthesis Baifeng Shi, Trevor Darrell, Xin Wang
ICML 2022 Visual Attention Emerges from Recurrent Sparse Reconstruction Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
ICCV 2021 Temporal Action Detection with Multi-Level Supervision Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
NeurIPS 2020 Auxiliary Task Reweighting for Minimum-Data Learning Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu
ICML 2020 Informative Dropout for Robust Representation Learning: A Shape-Bias Perspective Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
ECCV 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