Weakly-Supervised Action Localization by Generative Attention Modeling. - Baifeng Shi; Qi Dai 001; Yadong Mu; Jingdong Wang 001 (CVPR, 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 001 (ECCV (29), 2020)

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. - Baifeng Shi; Dinghuai Zhang; Qi Dai 001; Zhanxing Zhu; Yadong Mu; Jingdong Wang 001 (ICML, 2020)

Auxiliary Task Reweighting for Minimum-data Learning. - Baifeng Shi; Judy Hoffman; Kate Saenko; Trevor Darrell; Huijuan Xu 001 (NeurIPS, 2020)

Temporal Action Detection with Multi-level Supervision. - Baifeng Shi; Qi Dai 001; Judy Hoffman; Kate Saenko; Trevor Darrell; Huijuan Xu 001 (ICCV, 2021)

Visual Attention Emerges from Recurrent Sparse Reconstruction. - Baifeng Shi; Yale Song; Neel Joshi; Trevor Darrell; Xin Wang 066 (ICML, 2022)

Robot Learning with Sensorimotor Pre-training. - Ilija Radosavovic; Baifeng Shi; Letian Fu; Ken Goldberg; Trevor Darrell; Jitendra Malik (CoRL, 2023)

Top-Down Visual Attention from Analysis by Synthesis. - Baifeng Shi; Trevor Darrell; Xin Wang 066 (CVPR, 2023)

Refocusing Is Key to Transfer Learning. - Baifeng Shi; Siyu Gai; Trevor Darrell; Xin Wang 066 (CoRR, 2023)

LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. - Dantong Niu; Yuvan Sharma; Giscard Biamby; Jerome Quenum; Yutong Bai; Baifeng Shi; Trevor Darrell; Roei Herzig (CoRL, 2024)

Recursive Visual Programming. - Jiaxin Ge; Sanjay Subramanian; Baifeng Shi; Roei Herzig; Trevor Darrell (ECCV (43), 2024)

When Do We Not Need Larger Vision Models? - Baifeng Shi; Ziyang Wu; Maolin Mao; Xin Wang 066; Trevor Darrell (ECCV (8), 2024)

LLM-grounded Video Diffusion Models. - Long Lian; Baifeng Shi; Adam Yala; Trevor Darrell; Boyi Li (ICLR, 2024)

Humanoid Locomotion as Next Token Prediction. - Ilija Radosavovic; Bike Zhang; Baifeng Shi; Jathushan Rajasegaran; Sarthak Kamat; Trevor Darrell; Koushil Sreenath; Jitendra Malik (NeurIPS, 2024)

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; Yunhao Fang; et al. (CoRR, 2024)

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; et al. (CVPR, 2025)

Scaling Vision Pre-Training to 4K Resolution. - Baifeng Shi; Boyi Li; Han Cai; Yao Lu 006; Sifei Liu; Marco Pavone 001; Jan Kautz; Song Han 003; Trevor Darrell; Pavlo Molchanov 001; Hongxu Yin (CVPR, 2025)

Rethinking Patch Dependence for Masked Autoencoders. - Letian Fu; Long Lian; Renhao Wang; Baifeng Shi; Xudong Wang 007; Adam Yala; Trevor Darrell; Alexei A. Efros; Ken Goldberg (Trans. Mach. Learn. Res., 2025)

Scaling RL to Long Videos. - Yukang Chen; Wei Huang; Baifeng Shi; Qinghao Hu 004; Hanrong Ye; Ligeng Zhu; Zhijian Liu; Pavlo Molchanov 001; Jan Kautz; Xiaojuan Qi; Sifei Liu; Hongxu Yin; et al. (CoRR, 2025)