Sen Wang
Sen Wang
Technische Universität München
Informatik 16 - Lehrstuhl für Informatikanwendungen in der Medizin (Prof. Navab)
Postadresse
Boltzmannstr. 3
85748 Garching b. München
- sen.wang@tum.de
- E-Mail: sen.wang(at)tum.de
Student Projects
I am currently looking for students who are intersted in 3D Scene Understanding with Guassian Splatting, also possibly with Gaussian based SLAM.
Both guided research and master thesis are welcome.
Preferred Requirements:
- Strong motivation in research with a focus on achieving publication.
- Strong background in 3D computer vision and Gaussian Splatting. (e.g., NeRF, 3DGS).
- Proficiency in Python and C++ (For CUDA), and PyTorch.
- The project lasts 6 months or so and is suitable for a master thesis.
I am looking for collaborators and motivated students for research projects. Feel free to get in touch with me via email.
Research Interests
- Large scale scenes reconstruction and localization with NeRF/Gaussian Splatting
- 2D/3D Scene understanding with NeRF/3DGS
- Surface reconstruction with Implicit Neural Randience Field or Explcit Gaussian Splatting
- SLAM with semantic understanding
Curriculum Vitae
- 09/2012 - 07/2016: Bachelor in EE at Shanghai Jiao Tong University
- 04/2017- 04/2020: Master in EI at Technical University of Munich
- 09/2020 - now: PHD candidates at Huawei and CAMP, Info, TUM
Professional Services
Reviewer for BMVC, RA-L
Publications
VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis(S Wang, Q Cheng, S Gasperini, W Zhang, SC Wu, N Zeller, D Cremers and N Navab), In IEEE Robotics and Automation Letters (RA-L), 2025.
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians(S Liang*, S Wang*, K Li, M Niemeyer, S Gasperini, N Navab, F Tombari.) In arXiv preprint arXiv:2412.10231
HI-SLAM: Monocular Real-Time Dense Mapping With Hybrid Implicit Fields (W Zhang, T Sun, S Wang, Q Cheng and N Haala), In IEEE Robotics and Automation Letters (RAL) & Int. Conference on Intelligent Robots and Systems (IROS), volume 9, 2024. Oral Presentation
Bamf-slam: Bundle adjusted multi-fisheye visual-inertial slam using recurrent field transforms. (W Zhang, S Wang, X Dong, R Guo, N Haala)In 2023 IEEE international conference on robotics and automation (ICRA) 2023 May 29 (pp. 6232-6238). IEEE.
Towards robust indoor visual SLAM and dense reconstruction for mobile robots(W Zhang, S Wang, N Haala) In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2022 May 17;1:211-9.