Feng Gao

Applied Scientist, Amazon. Ph.D. from UCLA.

feng_202401.jpeg

Email: fenggo[AT]amazon[dot]com

Feng Gao is currently an applied scientist at Amazon. He received his Ph.D. from UCLA in 2022 co-advised by Ying Nian Wu and Mark S. Handcock. From 2017 to 2021, he was under the supervision of Song-Chun Zhu.

In Amazon, Feng Gao is affliated to store foundation AI (SFAI). Specifically, he is working on full stack multi-modal LLM including pre-training, IFT, alignment and evaluation.

Feng Gao’s research [Google Scholar] interests focus on computer vision, artificial intelligence and robotics. Targeting AGI for robotics, in particularly, he is actively working on

news

Feb 26, 2025 One paper about Relightable 3D Generation 🪑 [paper] [Demo] is accepted to CVPR2025.
Feb 25, 2025 One paper about efficient video-LLM 🎞️ [paper] is accepted to CVPR2025.
Oct 14, 2024 Our work about Embodied AI, Planning as In-Painting :robot: is accepted in NeurIPS2024 OWA. :rocket: [paper]
Sep 25, 2024 Two paper accepted to NeurIPS2024. They are about physically constrained Text-to-3D 🤸🏻‍♀️ [paper] [demo] and flow matching generative model [paper].
Jun 01, 2024 Our paper on spatial generalizable T2I 🐱🐭 is accepted in ECCV2024. [paper]

selected publications

  1. CVPR
    cvpr2025_video_preview.png
    M-LLM Based Video Frame Selection for Efficient Video Understanding
    Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, and 5 more authors
    CVPR, 2025
    PDF
  2. NeurIPS
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    Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
    Yunuo Chen, Tianyi Xie, Zeshun Zong, Xuan Li, Feng Gao, Yin Yang, and 2 more authors
    NeurIPS, 2024
    HTML PDF Code
  3. ECCV
    eccv2024_preview.png
    Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
    Yingshan Chang, Yasi Zhang, Zhiyuan Fang, Yingnian Wu, Yonatan Bisk, and Feng Gao
    ECCV, 2024
    HTML PDF
  4. NeurIPS
    cvpr2024_preview.png
    Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
    Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, and Feng Gao
    NeurIPS OWA, 2024
    HTML PDF Code
  5. NeurIPS
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    Learning non-Markovian Decision-Making from State-only Sequences
    Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, and Sirui Xie
    NeurIPS, 2023
    PDF Code
  6. CVPR
    cvpr2023_preview.png
    GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods
    Da Yin, Feng Gao, Govind Thattai, Michael Johnston, and Kai-Wei Chang
    CVPR, 2023
    PDF Supp
  7. tpa_preview.gif
    TPA-Net: Generate A Dataset for Text to Physics-based Animation
    Yuxing Qiu, Feng Gao, Minchen Li, Govind Thattai, Yin Yang, and Chenfanfu Jiang
    arXiv preprint arXiv:2211.13887, 2022
    HTML PDF
  8. CVPR
    cvpr2022_preview.png
    Transform-Retrieve-Generate: Natural Language-centric Outside-Knowledge Visual Question Answering
    Feng Gao, Qing Ping, Govind Thattai, Aishwarya Reganti, Ying Nian Wu, and Prem Natarajan
    CVPR, 2022
    PDF Supp Code
  9. Science Robotics
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    A Tale of Two Explanations: Enhancing Human Trust by Explaining Robot Behavior
    Mark Edmonds*, Feng Gao*, Hangxin Liu*, Xu Xie*, Siyuan Qi, Brandon Rothrock, and 4 more authors
    Science Robotics, 2019
    (* co-first author)
    PDF Code
  10. NeurIPS
    neurips2019_preview.png
    Learning Perceptual Inference by Contrasting
    Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, and Song-Chun Zhu
    NeurIPS, 2019
    HTML PDF Code
  11. CVPR
    cvpr2019_preview.png
    RAVEN: A Dataset for Relational and Analogical Visual Reasoning
    Chi Zhang*, Feng Gao*, Baoxiong Jia, Yixin Zhu, and Song-Chun Zhu
    CVPR, 2019
    (* co-first author)
    HTML PDF Supp Code
  12. ICRA
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    Unsupervised Learning of Hierarchical Models for Hand-object Interactions
    Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, Siyuan Qi, Yixin Zhu, and 2 more authors
    ICRA, 2018
    PDF Video Code
  13. IROS
    iros2017_glove_preview.gif
    A Glove-based System for Studying Hand-object Manipulation via Joint Pose and Force Sensing
    Hangxin Liu, Xu Xie, Matt Millar, Mark Edmonds, Feng Gao, Yixin Zhu, and 3 more authors
    IROS, 2017
    PDF Code
  14. IROS
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    Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles
    Mark Edmonds*, Feng Gao*, Xu Xie, Hangxin Liu, Siyuan Qi, Yixin Zhu, and 2 more authors
    IROS, 2017
    (* co-first author)
    PDF Video Code