Kuan Fang

房 宽

Email: kuanfang [at] stanford [dot] edu

I am a PhD student in the Stanford Vision and Learning (SVL) Lab at Stanford University, working on computer vision, robotics and machine learning with Prof. Silvio Savarese. My Research is supported by a Stanford Graduate Fellowship.

Before graduate school, I received my B.S. degree from Tsinghua University. I did an undergraduate internship in the Machine Learning Group at Microsoft Research Asia (MSRA). I also worked on physical simulation in the PhysBAM Lab led by Prof. Ron Fedkiw.

I spent Summer 2017 at Google [X] Robotics. For Summer 2018, I am interning at Google Brain.

CV  |  LinkedIn  |  GitHub


Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
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Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese
Robotics: Science and Systems (RSS), 2018
PDF  ·  Website  ·  Video  ·  BibTex

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan
International Conference on Robotics and Automation (ICRA), 2018
PDF  ·  Website  ·  Video  ·  BibTex

Demo2Vec: Reasoning Object Affordances from Online Videos
Kuan Fang*, Te-Lin Wu*, Daniel Yang, Silvio Savarese, Joseph J. Lim (* indicates equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
PDF  ·  Website  ·  Code  ·  BibTex

Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese
IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018
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DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes
Saumitro Dasgupta, Kuan Fang*, Kevin Chen*, Silvio Savarese (* indicates equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
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Awards and Honors