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Inferring Compositional 4D Scenes without Ever Seeing One
Ahmet Berke Gokmen, Ajad Chhatkuli, Luc Van Gool +1
Scenes in the real world are often composed of several static and dynamic objects. Capturing their 4-dimensional structures, composition and spatio-temporal configuration in-the-wi…
Autonomous Vehicle Path Planning by Searching With Differentiable Simulation
Asen Nachkov, Jan-Nico Zaech, Danda Pani Paudel +2
Planning allows an agent to safely refine its actions before executing them in the real world. In autonomous driving, this is crucial to avoid collisions and navigate in complex, d…
EvDiff: Event-Based Video Reconstruction using One-Step Diffusion Models
Weilun Li, Lei Sun, Ruixi Gao +6
As neuromorphic sensors, event cameras asynchronously record changes in brightness as streams of sparse events with the advantages of high temporal resolution and high dynamic rang…
FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle
Mario Markov, Stefan Maria Ailuro, Luc Van Gool +2
Predicting wildfire risk is a reasoning-intensive spatial problem that requires the integration of visual, climatic, and geographic factors to infer continuous risk maps. Existing…
DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception
Tim Broedermannn, Christos Sakaridis, Luigi Piccinelli +2
Robust semantic perception for autonomous vehicles relies on effectively combining multiple sensors with complementary strengths and weaknesses. State-of-the-art sensor fusion appr…
Incremental Object Detection with Prompt-based Methods
Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel +1
Visual prompt-based methods have seen growing interest in incremental learning (IL) for image classification. These approaches learn additional embedding vectors while keeping the…