Qingwen Zhang
Ph.D. student, School of Electrical Engineering and Computer Science, KTH
Hi there 👋. Welcome to Qingwen Zhang (张清文) / Kin Zhang (张聪明) Page. I’m a Ph.D. student at the DIVISION OF ROBOTICS, PERCEPTION AND LEARNING at KTH Royal Institute of Technology, supervised by Prof. Patric Jensfelt and Prof. Olov Andersson. My Ph.D. research interests mainly focus on Self-Supervised Understanding of Dynamic Scenes supported by WASP.
Before that, I graduated with an MPhil from the Robotics Institute RAMLAB of Hong Kong University of Science and Technology, supervised by Prof. Ming Liu and Prof. Wei Zhang. My MPhil research interests mainly include planning and end to end learning in autonomous driving.
I am currently seeking full-time opportunities following my upcoming PhD graduation. If you are interested in my research, please feel free to contact me.
News
| Feb 23, 2026 | Two of our papers: TeFlow and FVGen are accepted by CVPR 2026. |
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| Sep 18, 2025 | Our DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method paper is accepted by NeurIPS 2025, and it’s spotlight. ! |
| Aug 20, 2025 | Our HiMo: High-Speed Objects Motion Compensation in Point Clouds paper is accepted by Transactions on Robotics (T-RO). |
| Jul 1, 2025 | Our AGO: Adaptive Grounding for Open World 3D Occupancy Prediction paper is accepted by ICCV 2025. |
Selected Publications
* means co-first authors2026
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CVPR 2026FVGen: Scaling 3D Scene Datasets with Certainty-Aware Free-View Generation from Scene Geometry ReconstructionIn Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2026
2025
2024
2023
2022
Service
- KTH-RPL GPU Cluster Admin Group Member, Check our cluster-wiki
- Reviewer Service: RA-L, ICRA, IROS, NeurIPS, ICCV
Awards
2019 Outstanding college students and 2017 Outstanding athletes in Tianjin, China