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.

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

Dec 12, 2023 Our paper on non-Markovian Decision Making ūü߆ is presented in NeurIPS2023. [paper]
Dec 7, 2023 Our Paper Mask Path Modeling :robot: in Embodied AI is presented in EMNLP2023. [paper]
Nov 17, 2023 Check out our latest work Planning as In-Painting :robot: in Embodied AI. :rocket: :rocket: [paper]
Jun 17, 2023 Our paper GIVL ūüĆŹ is presented in CVPR 2023. [paper]

selected publications

  1. 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, and 2 more authors
    arXiv preprint arXiv:2312.01097, 2023
  2. neurips2023_preview.png
    Learning non-Markovian Decision-Making from State-only Sequences
    Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, and 1 more author
    NeurIPS, 2023
  3. cvpr2023_preview.png
    GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods
    Da Yin, Feng Gao, Govind Thattai, Michael Johnston, and 1 more author
    CVPR, 2023
  4. tpa_preview.gif
    TPA-Net: Generate A Dataset for Text to Physics-based Animation
    Yuxing Qiu, Feng Gao, Minchen Li, Govind Thattai, and 2 more authors
    arXiv preprint arXiv:2211.13887, 2022
  5. cvpr2022_preview.png
    Transform-Retrieve-Generate: Natural Language-centric Outside-Knowledge Visual Question Answering
    Feng Gao, Qing Ping, Govind Thattai, Aishwarya Reganti, and 2 more authors
    CVPR, 2022
  6. sciencerobotics_preview.png
    A Tale of Two Explanations: Enhancing Human Trust by Explaining Robot Behavior
    Mark Edmonds*, Feng Gao*, Hangxin Liu*, Xu Xie*, and 6 more authors
    Science Robotics, 2019
    (* co-first author)
  7. neurips2019_preview.png
    Learning Perceptual Inference by Contrasting
    Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, and 2 more authors
    NIPS (NeurIPS), 2019
  8. cvpr2019_preview.png
    RAVEN: A Dataset for Relational and Analogical Visual Reasoning
    Chi Zhang*, Feng Gao*, Baoxiong Jia, Yixin Zhu, and 1 more author
    CVPR, 2019
    (* co-first author)
  9. icra2018_preview.webp
    Unsupervised Learning of Hierarchical Models for Hand-object Interactions
    Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, and 4 more authors
    ICRA, 2018
  10. 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, and 5 more authors
    IROS, 2017
  11. iros2017_bottle_preview.gif
    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, and 4 more authors
    IROS, 2017
    (* co-first author)