Scholar
Qingwen Zhang
Google Scholar ID: TRrNPowAAAAJ
PhD Student, KTH (MPhil in HKUST)
Citations & Impact
Citations
296
H-index
10
i10-index
11
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- 1. DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method (NeurIPS 2025, spotlight)
- 2. HiMo: High-Speed Objects Motion Compensation in Point Clouds (Transactions on Robotics 2025)
- 3. AGO: Adaptive Grounding for Open World 3D Occupancy Prediction (ICCV 2025)
- 4. SSF: Sparse Long-Range Scene Flow for Autonomous Driving (ICRA 2025)
- 5. SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving (ECCV 2024)
- 6. DUFOMap: Efficient Dynamic Awareness Mapping (IEEE Robotics and Automation Letters 2024)
- 7. DeFlow: Decoder of Scene Flow Network in Autonomous Driving (ICRA 2024)
Research Experience
- 1. Ph.D. student at the Division of Robotics, Perception and Learning, KTH, focusing on self-supervised understanding of dynamic scenes
- 2. MPhil student at the RAMLAB, Hong Kong University of Science and Technology, focusing on planning and imitation learning in autonomous driving
Education
- 1. Ph.D.: KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Supervisors: Prof. Patric Jensfelt and Prof. Olov Andersson
- 2. MPhil: Hong Kong University of Science and Technology, Robotics Institute RAMLAB, Supervisors: Prof. Ming Liu and Prof. Wei Zhang, Research interests include planning and imitation learning in autonomous driving.
Background
- Ph.D. student at the School of Electrical Engineering and Computer Science, KTH, with research interests mainly focusing on self-supervised understanding of dynamic scenes.
