About Me
Hi! I am a fourth year Ph.D. student in Robitics institute at Carnegie Mellon University, advised by Jessica Hodgins. My research interests lie in computer vision and machine learning, with a focus on 3D/4D representation, neural rendering and generative models.
I earned my master's degree in Dec. 2018 from the Robotics Institue at Carnegie Mellon University where I worked with Prof. Katerina Fragkiadaki and Prof. Simon Lucey. Prior to CMU, I received my bachelar's degree from the Department of Automation at Tsinghua University in China, advised by Prof. Jiwen Lu. In summer 2018, I have the fortunate to work with Dr. Samuel Schulter, Dr. Buyu Liu and Prof. Manmohan Chandraker in Media Analytics Group at NEC Labs, America. In 2016, I spent my summer in Vision & Learning Lab at the University of Michigan, Ann Arbor as a research assistant, supervised by Prof. Jia Deng.
Publications
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation |
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Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images |
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HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture |
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Learning Compositional Radiance Fields of Dynamic Human Heads |
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A Parametric Top-View Representation of Complex Road Scenes |
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Geometry-Aware Recurrent Neural Networks for Active Visual Recognition |
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Semantic Photometric Bundle Adjustment on Natural Sequences |
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Virtual to Real Reinforcement Learning for Autonomous Driving |
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Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition |
Education
Carnegie Mellon University, US Ph.D. in Robotics, Aug. 2019 - current M.S. in Computer Vision, Aug. 2017 - Dec. 2018 |
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Tsinghua University, China B.Eng in Automation, Aug. 2013 - Jun. 2017 |
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