Fei Xia
feixia at stanford.edu [Github] [Google Scholar]
About me
I am a third year PhD candidate at Department of Electrical Engineering, Stanford University. I am co-advised by Silvio Savarese in CVGL/SVL and Leo Guibas. I have collborated with James Zou and David Tse on various projects. My research interests lie in Computer Vision (3D Vision in particular) and Applied Machine Learning.2018.4 We will host a demo for Gibson Env at CVPR'18. Come and check it out!
2018.2 One paper accepted to CVPR'18 (spotlight).
2017.11 New NIPS and Bioinformatics papers' pdf versions are available.
Education
Aug. 2016 - Present, Department of Electrical Engineering, Stanford University,
PhD Candidate.
Aug. 2012 - Jul. 2016, Department of Automation Tsinghua University,
Bachelor of Engineering.
Aug. 2014 - Dec. 2014, Department of Electrical and Computer Engineering, Georgia Institute of Technology,
Exchange Student.
July. 2015 - Sept. 2015, Department of Electrical Engineering, Stanford University,
Visiting Researcher.
Selected Publications
- Hirose, N., Sadeghian, A., Xia, F., Martín-Martín, R., & Savarese, S. (2019). VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera. IEEE Robotics and Automation Letters. [pdf][project]
Fei Xia*, Amir R. Zamir*, Zhiyang He*, Alexander Sax, Jitendra Malik, Silvio Savarese. Gibson Env: Real-World Perception for Embodied Agents. CVPR 2018 (spotlight). [pdf] [code] [project]
Fei Xia*, Martin Zhang*, James Zou, David Tse. NeuralFDR: learning decision threshold from hypothesis features. NIPS 2017. [pdf] [code]
Honors and Awards
- 2016 Stanford Graduate Fellowship (Michael J. Flynn Fellow), Stanford University
- 2015 Chang Jiong Scholarship (Highest honor in Dept. of Automation, 1/560)
- 2014 Fang Chongzhi Scholarship (Highest honor in Dept. of Automation, 1/560)
- 2014 China Scholarship Council Excellent Undergraduate Fellowship
Teaching Experiences
Press Coverage
