Feng Gao

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

Reasoning: mutli-modal and abstract reasoning, phyical world modeling.
Emobidied AI: robot learning/planning.
Generative AI: text-to-image/animation generation.

news

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

selected publications

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

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Learning non-Markovian Decision-Making from State-only Sequences

Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, and 1 more author

NeurIPS, 2023

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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

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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

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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

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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)

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Learning Perceptual Inference by Contrasting

Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, and 2 more authors

NIPS (NeurIPS), 2019

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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)

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Unsupervised Learning of Hierarchical Models for Hand-object Interactions

Xu Xie, Hangxin Liu, Mark Edmonds, Feng Gao, and 4 more authors

ICRA, 2018

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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

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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, and 4 more authors

IROS, 2017

(* co-first author)

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