Ziyan Wang

github google scholar [CV]

About Me

Hi! I am a first year Ph.D. student in Machine Learning Department at Carnegie Mellon University, advised by Jessica Hodgins. My research interests lie in 3D vision, machine learning and robotics.

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.



Carnegie Mellon University, US
Ph.D. in Machine Learning, Aug. 2019 - current
M.S. in Computer Vision, Aug. 2017 - Dec. 2018
University of Michigan, Ann Arbor, US
Research Assistant, Vision & Learning Lab, Jun. 2016 - Sept. 2016
Tsinghua University, China
B.Eng in Automation, Aug. 2013 - Jun. 2017


A Parametric Top-View Representation of Complex Road Scenes
Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker
IEEE Conference on Computer Vision and Pattern Recognition(CVPR) 2019
[arxiv] [project page]

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
Ziyan Wang*, Ricson Cheng, Katerina Fragkiadaki
Advances in Neural Information Processing Systems(NIPS) 2018
[paper] [code]

Semantic Photometric Bundle Adjustment on Natural Sequences
Rui Zhu, Chaoyang Wang, Ziyan Wang, Chen-Hsuan Lin, Simon Lucey
Arxiv, IEEE Winter Conference on Applications of Computer Vision(WACV) 2018
[arxiv] [paper] [demo]

Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan*, Yurong You*, Ziyan Wang, Cewu Lu
British Machine Vision Conference(BMVC) 2017, spotlight
[arxiv] [code] [video]

Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
Ziyan Wang, Jiwen Lu, Ruogu Lin, Jiangjiang Feng, Jie Zhou