3 papers
cs.CV2026
Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition
Gurucharan Srinivas, Joshua Niemeijer, Frank Köster
Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply po…
cs.CV2026
GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes
Joshua Niemeijer, Alaa Eddine Ben Zekri, Reza Bahmanyar +3
Understanding road scenes in a geometrically consistent, scene-centric representation is crucial for planning and mapping. We present GOLD-BEV, a framework that learns dense bird's…
cs.CV2026
Test-Time Modification: Inverse Domain Transformation for Robust Perception
Arpit Jadon, Joshua Niemeijer, Yuki M. Asano
Generative foundation models contain broad visual knowledge and can produce diverse image variations, making them particularly promising for advancing domain generalization tasks.…