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Hi, I'm a master's student with TUM CAMP, supervised by Dr. Benjamin Busam and Prof. Nassir Navab. During my study,I conducted research at CAMP, HKUST(GZ), and CVG, working with Prof. Haoang Li and Prof. Daniel Cremers. My research interests lie in the interplay between 3D computer vision and robotics, with a focus on camera/object localization, 3D/4D reconstruction, depth estimation, neural scene representations and robot grasping. I am also broadly interested in large language models (LLMs), multi-modal learning combining vision and language, and Embodied AI. Email / Google Scholar / Github / Linkedin |
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[12-2024] Our paper DynSUP is now available on arXiv. [10-2024] I successfully defended my Master's Thesis (GCE-Pose) at CAMP with the highest grade, 1.0. [09-2024] Our paper SCRREAM has been accepted to NeurIPS 2024. [07-2024] Our paper kb-pbd has been accepted to IROS 2024. [06-2024] Our team received an Honorable Mention Award in the S23DR Challenge at CVPR 2024. |
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Weihang Li*, Hongli Xu*, Junwen Huang*†, HyunJun Jung*, Peter KT Yu, Nassir Navab, Benjamin Busam arXiv , 2025 arXiv / Project Page A semantic shape reconstruction module that recovers complete object geometry from partial observations with a global context-enhanced feature fusion mechanism that leverages category-level semantic and shape priors for robust pose prediction |
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Weihang Li*, Weirong Chen*, Shenhan Qian, Jiajie Chen, Daniel Cremers, Haoang Li arXiv , 2024 arXiv / Project Page / Code A novel method to achieve Gaussian splatting from an un-posed image pair in dynamic environments. |
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HyunJun Jung, Weihang Li, Shun-Cheng Wu, William Bittner, Nikolas Brasch, Jifei Song, Eduardo Pérez-Pellitero, Zhensong Zhang, Arthur Moreau, Nassir Navab, Benjamin Busam In Proceedings of the Neural Information Processing Systems (NeurIPS), 2024 arXiv / Project Page / Code A framework to annotate accurate and dense 3d indoor scenes with a benchmark on novel view synthesis and SLAM |
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Junsheng Ding, Haifan, Zhang, Weihang Li, Liangwei Zhou, Alexander Perzylo International Conference on Intelligent Robots and Systems (IROS), 2024 Paper / Project Page / Code / Video A knowledge-based Programming by Demonstration (kb-PbD) paradigm to facilitate robot programming in small and medium-sized enterprises (SMEs). |
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| TUM Photogrammetry & Remote Sensing | Mentor: Olaf Wysocki | 04/2024 - Current |
| fortiss | Mentors: Junsheng Ding, Alexander Perzylo | 10/2022 - 10/2023 |
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- Teaching Assistant: Introduction to Machine Learning, Technical University of Munich, 2024
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Last updated: Feb 2025
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