Xiaofeng Gao - Alexa AI, Amazon | 人才画像

基本信息

Career Trajectory

Bio

Xiaofeng Gao (Graduate Student Member, IEEE) received the B.E. degree in electronic engineering from Fudan University in 2017. He is currently pursuing the Ph.D. degree with the Department of Statistics, University of California, Los Angeles. His research interests include human–machine interaction and computer vision.

Research Interests

Papers共 13 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

GROUNDHOG: Grounding Large Language Models to Holistic Segmentation

Yichi Zhang,Ziqiao Ma,Xiaofeng Gao,Suhaila Shakiah,Qiaozi Gao,Joyce Chai

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)（2024）

Cited0Views0EIWOSBibtex

Mastering Robot Manipulation with Multimodal Prompts Through Pretraining and Multi-task Fine-tuning

Jiachen Li,Qiaozi Gao,Michael Johnston,Xiaofeng Gao,Xuehai He,Hangjie Shi,Suhaila Shakiah,Reza Ghanadan, William Wang

CoRR（2023）

Cited0Views0EIBibtex

ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes

Ran Gong,Jiangyong Huang,Yizhou Zhao,Haoran Geng,Xiaofeng Gao,Qingyang Wu,Wensi Ai,Ziheng Zhou,Demetri Terzopoulos,Song-Chun Zhu,Baoxiong Jia,Siyuan Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)（2023）

Cited10Views0EIBibtex

LEMMA: Learning Language-Conditioned Multi-Robot Manipulation

Ran Gong,Xiaofeng Gao,Qiaozi Gao,Suhaila Shakiah,Govind Thattai,Gaurav S. Sukhatme

IEEE robotics & automation lettersno. 10 (2023): 6835-6842

Cited0Views0Bibtex

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,Feng Gao

CoRR (2023)

Cited0Views0EIBibtex

Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI

Hangjie Shi,Leslie Ball,Govind Thattai,Desheng Zhang,Lucy Hu,Qiaozi Gao,Suhaila Shakiah,Xiaofeng Gao,Aishwarya Padmakumar,Bofei Yang,Cadence Chung,Dinakar Guthy,Gaurav Sukhatme,Karthika Arumugam, Matthew Wen,Osman Ipek,Patrick Lange, Rohan Khanna, Shreyas Pansare,Vasu Sharma, Chao Zhang,Cris Flagg,Daniel Pressel,Lavina Vaz,Luke Dai,Prasoon Goyal,Sattvik Sahai, Shaohua Liu, Yao Lu,Anna Gottardi,Shui Hu,Yang Liu,Dilek Hakkani-Tur,Kate Bland,Heather Rocker,James Jeun, Yadunandana Rao,Michael Johnston, Akshaya Iyengar,Arindam Mandal,Prem Natarajan,Reza Ghanadan

CoRR (2023)

Cited0Views0EIBibtex

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration

Xiaofeng Gao,Luyao Yuan,Tianmin Shu,Hongjing Lu,Song-Chun Zhu

IEEE robotics & automation letters（2022）

Cited3Views0EIWOSBibtex

In situ bidirectional human-robot value alignment

Luyao Yuan,Xiaofeng Gao,Zilong Zheng,Mark Edmonds,Ying Nian Wu,Federico Rossano,Hongjing Lu,Yixin Zhu,Song-Chun Zhu

SCIENCE ROBOTICS（2022）

Cited80Views0WOSEISCIENCEBibtex

Effects of Augmented-Reality-Based Assisting Interfaces on Drivers' Object-wise Situational Awareness in Highly Autonomous Vehicles

Xiaofeng Gao,Xingwei Wu,Samson Ho,Teruhisa Misu,Kumar Akash

2022 IEEE Intelligent Vehicles Symposium (IV)pp.563-572, (2022)

Cited0Views0EIWOSBibtex

DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following

Xiaofeng Gao,Qiaozi Gao,Ran Gong,Kaixiang Lin,Govind Thattai,Gaurav S. Sukhatme

IEEE ROBOTICS AND AUTOMATION LETTERSno. 4 (2022): 10049-10056

Cited27Views0EIWOSBibtex

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