Kuan Fang

房 宽

Email: kuanfang [at] stanford [dot] edu

I am a PhD student in the Stanford Vision Lab (SVL) at Stanford University, working on computer vision, machine learning and robotics 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 of articulated rigid bodies in the PhysBAM Lab led by Prof. Ron Fedkiw.

I spent Summer 2017 at Google [X] Robotics working on sim-to-real domain adaptation for instance-aware robotic grasping with Yunfei Bai and Mrinal Kalakrishnan.

CV  |  LinkedIn  |  GitHub


Demo2Vec: Learning Object Affordances from Videos in the Wild
(To appear in CVPR 2018)
PDF  ·  Website

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

Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese
Proceedings of IEEE Winter Conf. on Applications of Computer Vision (WACV 2018)
PDF  ·  Video

DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes
Saumitro Dasgupta, Kuan Fang*, Kevin Chen*, Silvio Savarese
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)
PDF  ·  Website

RadixBoost: A hardware acceleration structure for scalable radix sort on graphic processors
Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng
Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS 2015)

FastLanes: An FPGA Accelerated GPU Microarchitecture Simulator
Kuan Fang, Yufei Ni, Jiayuan He, Shuai Mu, Yangdong Deng
Proceedings of IEEE International Conference on Computer Design (ICCD 2013)

Awards and Honors