Gaussian Splatting Conditioning and Analytical Framework
Introduction: Tooling for an explicit 3D representation Reconstructing realistic 3D scenes from a few photographs is one of the most exciting frontiers in computer vision, yet …
I am a double degree M.Sc. student in Computer Science and Machine Learning at the Technical University of Munich and KTH Royal Institute of Technology. My primary interests lie in machine learning and medical informatics, and enjoy tackling challenges in these fields. I am always eager to learn about new developments and to contribute to exciting projects. Below, you can find some of the projects I have worked on.
Introduction: Tooling for an explicit 3D representation Reconstructing realistic 3D scenes from a few photographs is one of the most exciting frontiers in computer vision, yet …
Based on: Doerrich, S., Salvo, F. D., & Ledig, C. (2024). Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization (No. arXiv:2407.02900). arXiv. …
Introduction: Why alternative RNA structures matter Imagine an RNA transcript that can fold into two different secondary structures depending on its environment – each fold changes …
Understanding Pedestrian Motion: From Empirical Curves to Learned Behaviors Modeling how people move through space is an old problem with new relevance. Urban planners, architects, …
Based on: Kong, Q., Li, B., Song, X., Wan, Y., & Wang, Y. (2021). High-resolution Piano Transcription with Pedals by Regressing Onset and Offset Times. IEEE/ACM Transactions on …
Introduction: Energy as a first-class design constraint Energy efficiency is a critical consideration in battery-powered IoT devices, where prolonged autonomous operation is often …