Kuan Fang

Email: kuanfang [at] stanford [dot] edu

I am a Ph.D. student in the Vision and Learning Lab at Stanford University, co-advised by Prof. Silvio Savarese and Prof. Fei-Fei Li. I study computer vision, robotics, and machine learning. My research is supported by a Stanford Graduate Fellowship.

Before graduate school, I received my B.S. degree from Tsinghua University. I did internships at Google Brain, Google [x] Robotics and Microsoft Research Asia. Previously, I also worked on physical simulation with Prof. Ron Fedkiw in the PhysBAM Lab.

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Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei
RSS 2021
PDF | Website | BibTex

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu,
RSS 2021
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Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei
ICLR 2021
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KETO: Learning Keypoint Representations for Tool Manipulation
Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese
ICRA 2020
PDF | Website | BibTex

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei
CoRL 2019 (Oral Presentation)
PDF | Website | Blog | Environment | Code | BibTex

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
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
RSS 2018 (Journal version in IJRR 2019)
PDF (RSS 2018) | PDF (IJRR 2019) | 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
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)
CVPR 2018
PDF | Website | Code | BibTex

Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese
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)
CVPR 2016
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Awards and Honors


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