Weihang Li
Hi, I am a master student in Robotics, Cognition, Intelligence at Technical University of Munich.
During my master's studies, I did research advised by Dr. Benjamin Busam,
Prof. Nassir Navab
at CAMP, Prof. Haoang Li
at HKUST(GZ) and Prof. Daniel Cremers at CVG.
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.
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[11-2024]   
Our paper DynSUP is now available on arXiv.
[10-2024]   
I successfully defended my Master's Thesis 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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DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair
Weihang Li,
Weirong Chen,
Shenhan Qian,
Jiajie Chen,
Daniel Cremers,
Haoang Li
arXiv , 2024
arXiv
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Project Page
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Code
A novel method to achieve Gaussian splatting from an un-posed image pair in dynamic environments.
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SCRREAM: SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark
HyunJun Jung,
Weihang Li,
Shun-Cheng Wu,
William Bittner,
Nikolas Brasch,
Jifei Song,
Eduardo PĂ©rez-Pellitero,
Zhensong Zhang,
Arthur Moreau,
Nassir Navab,
Benjamin Busam
In Proceedings of the Neural Information Processing Systems (NeurIPS), 2024
arXiv
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Code
A framework to annotate accurate and dense 3d indoor scenes with a benchmark on novel view synthesis and SLAM
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Knowledge-based Programming by Demonstration using semantic action models for industrial assembly
Junsheng Ding,
Haifan, Zhang,
Weihang Li,
Liangwei Zhou,
Alexander Perzylo
International Conference on Intelligent Robots and Systems (IROS), 2024
Paper
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Project Page
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Code
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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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Teaching Assistant: Introduction to Machine Learning, Technical University of Munich, 2024
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