Zhexiong Wan
万哲雄
About Me
I am currently a Ph.D. candidate in Information Engineering, supervised by Prof. Yuchao Dai in NPU-CVR (website in Chinese) lab at Northwestern Polytechnical University (NPU), Xi’an, China. Before that, I received B.E. degree in Computer Science at NPU, during which I participated in several student competitions and received the Outstanding Undergraduate Student and Outstanding Undergraduate Thesis awards.
My research lies at the intersection of 3D Vision and Low-Level Vision – with a special focus on Event-based vision. My research interests include motion estimation (optical flow and scene flow estimation), motion segmentation, motion deblurring, video frame generation (interpolation, reconstruction and prediction), etc.
I am looking for a Visiting Ph.D. position. I would appreciate a ping if you see a position I might fit.
News
- [Sep. 2023] One paper about parametric optical flow is accepted to NeurIPS 2023.
- [Jul. 2023] One paper about scene flow estimation with event camera is accepted to ICCV 2023. Thanks to the collaborators!
- [Feb. 2023] One paper about frame correction with rolling shutter camera is accepted to CVPR 2023.
- [Nov. 2022] One paper about optical flow estimation with event camera is accepted to TIP 2022.
- Show more
Publications [ Google Scholar] [ DBLP]
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NeurIPS
Advances in Neural Information Processing Systems (NeurIPS), 2023. -
ICCV
IEEE International Conference on Computer Vision (ICCV), 2023. -
TIP
IEEE Transactions on Image Processing (TIP), 2022. -
TCSVT
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. -
arXiv
ECCV workshop, Robust Vision Challenge 2020.
CVPR
Project Experience
| 3D Dynamic Perception using Neuromorphic Vision Sensor | Jan. 2021 -- Dec. 2022 |
- Student Leader, supervised by mentor
- Introducing event cameras to address the challenge of 3D dynamic perception in real scenarios with high dynamics.
- This project is sponsored by Zhejiang Lab Open Research Funding.
| SAR-Optical Image Matching | Oct. 2020 -- Jun. 2021 |
- Major contributor to won the championship in a Chinese AI Challenge.
- The task is to match two heterogeneous source images to obtain the position of a small optical image block in a large synthetic aperture radar (SAR) image.
- Our proposed network uses an attention mechanism and fast large kernel Fourier convolution and achieves first place in terms of speed and accuracy.
| Undergraduate Robotics Maker Team at NPU | Sept. 2016 -- Jun. 2019 |
- Team Leader since Sept. 2017.
- Our team have won many awards in several robot competition in China. My responsibility is to deploy visual recognition algorithms for robots, including the following applications:
- Enemy identification (up to 200~FPS) and automatic attacking for the multi robot fierce confrontation competition, RoboMaster.
- Identifying danger signs and trapped people for environment perception and mapping for urban search and rescue robot competition, RoboCupRescue China Open. CGTN Interview
- Indoor positioning and navigation of UAVs using visual markers or gestures. Partial Code
- Lead team members in collaboration and make project plans to achieve all goals.
Selected Honors and Awards
| First-Class Academic Scholarships for PhD Students in NPU | 2020&2022 |
| 2nd place of Optical Flow track in the ECCV 2020 Robust Vision Challenge | 2020 |
| First-Class & Outstanding Advisor of RoboMaster University Championship | 2019 |
| Championships of RoboCup@Rescue China Open & China Robot Competition | 2018 |
| First-Class & Application Innovation of ASC17 Student Supercomputer Challenge | 2017 |
Additional Information
- Review services: TPAMI, CVPR, ICCV, NeurIPS, ICLR, ACM-MM, IROS, etc.
- Skills: Python, C/C++, Matlab, etc. Maintain the lab cluster with 20+ nodes and 150+ GPUs. GPU Monitor
- Languages: English - CET-6, Mandarin - Native speaker.
- Hobbies: Electronics, music, animation.
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