Wenxuan Wu's Homepage

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Wenxuan Wu
Ph.D. Candidate
School of Electrical Engineering and Computer Science
Oregon State Unviersity
Contact: wuwen@oregonstate.edu, Linkedin

Short Bio

I am a third-year PhD student at Oregon State University working under Dr. Fuxin Li's advice. I am currently focusing on 3D computer vision. Before that, I studied at Beijing Institute of Technology. I got my Bachelor and Master degree from Beijing Institute of Technology at 2014 and 2017. During my Master years, I was working as an intern in some great companies in China, including Momenta, Intel , and Light Chaser Animation.

I always want to broaden my horizon through meeting and working with new people in similar fields.

News

  • [11-27-2019] Paper “PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds” is now online. link

  • [11-27-2019] Paper “Visualizing Point Cloud Classifiers by Curvature Smoothing” is online. link

  • [11-17-2018] Paper “PointConv: Deep Convolutional Networks on 3D Point Clouds” accepted by CVPR 2019. link

Education

  • Ph.D., School of Electrical Engineering and Computer Science, Oregon State University, Advised by Prof. Fuxin Li, Current GPA: 3.95

  • M.S., School of Optoelectronics, Beijing Institute of Technology, Advised by Prof. Li Li, Overall GPA: 89.9/100

  • B.E., School of Optoelectronics, Beijing Institute of Technology, Junior&Senior GPA: 92.14/100

Research Interests

  • 3D Computer Vision

  • Machine Learning

  • Deep Learning

Publications

Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Li Fuxin. “PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds.” arXiv:1911.12408

Chen Ziwen, Wenxuan Wu, Zhongang Qi, Li Fuxin. “Visualizing Point Cloud Classifiers by Curvature Smoothing.” arXiv:1911.10415

Wu, Wenxuan, Zhongang Qi, and Li Fuxin. “PointConv: Deep Convolutional Networks on 3D Point Clouds.” CVPR 2019

Wenxuan Wu, Li Li, Weiqi Jin. “Disparity refinement based on segment-tree and fast weighted median filter,” 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 3449-3453.doi: 10.1109/ICIP.2016.7533000