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: 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 …
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 …
Introduction: From autonomous driving to automated sports analytics Imagine a system that watches a table-tennis match, locates the ball in each frame, reconstructs the 3D …
Introduction: An autonomous robot built for competition From 2013 until 2020, our team developed several fully autonomous robots for various soccer and robotics challenges within …