Scholar
Qingtian Zhu
Google Scholar ID: rSJRfGsAAAAJ
The University of Tokyo
Citations & Impact
Citations
698
H-index
9
i10-index
9
Publications
19
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- 1. June 2025: Two papers accepted by ICCV 2025.
- 2. June 2025: Our team ranks 1st in ScanNet++ Novel View Synthesis Challenge of CVPR 2025.
- 3. May 2025: One paper accepted by ICML 2025.
- 4. September 2024: Our team ranks 1st in ECCV 2024 GigaRendering Challenge.
- 5. August 2024: One paper accepted by ECCV 2024 as an oral presentation.
- 6. May 2024: Our team ranks 1st in ScanNet++ Novel View Synthesis Challenge of CVPR 2024.
- 7. October 2023: Started pursuing my Ph.D. degree at UTokyo as a Todai Fellowship student.
- 8. June 2023: Our team ranks 1st in GAIIC 2023 GigaRendering Challenge.
- 9. May 2023: Passed the defense of my master thesis, titled 'Semantic Reconstruction of 3D Models for Urban Scenes'.
- 10. February 2023: Our team ranks 1st in GigaReconstruction Challenge of GigaVision 2022.
- 11. October 2022: Received Benz Scholarship offered by Daimler Greater China Ltd.
- 12. September 2022: One paper accepted by BMVC 2022.
- 13. June 2022: Two papers accepted by ECCV 2022.
- 14. April 2022: One paper accepted by TVCG.
Research Experience
- 1. Doctoral student at IST, UTokyo, focusing on 3D reconstruction, neural rendering, implicit representations, and computational photography.
- 2. Master's student at Peking University, working on a large-scale 3D reconstruction system under the guidance of Prof. Guoping Wang.
Education
- 1. Ph.D. degree: Graduate School of Information Science and Technology, The University of Tokyo, supervised by Prof. Yinqiang Zheng
- 2. M.Sc. degree: School of Computer Science, Peking University, supervised by Prof. Yisong Chen
- 3. Research experience: Worked at Graphics and Interaction Lab (GIL) led by Prof. Guoping Wang on a scalable 3D reconstruction system (i23D) for modeling urban scenes from massive UAV imagery.
Background
- Currently a doctoral student at the Graduate School of Information Science and Technology (IST), The University of Tokyo, with research interests in achieving generalized reconstruction of various types of data by leveraging explicit, implicit, or hybrid representations. Specific areas of study include 3D reconstruction (photogrammetry), neural rendering, implicit representations, and computational photography.
Miscellany
- Able to speak Chinese Mandarin (native), English (IELTS 8.0), Spanish (DELE B1), Portuguese (CAPLE CIPLE), and Japanese (JLPT N2).
