collaborators

10 papers

cs.CV2026

HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images

Pourya Shamsolmoali, Masoumeh Zareapoor, Michael Felsberg +3

Despite advances in object detection, aerial imagery remains a challenging domain, as models often fail to generalize across variations in spatial resolution, scene composition, an…

cs.LG2026

Commutator-Induced Uncertainty in VAEs

Tahereh Dehdarirad, Michael Felsberg, Gabriel Eilertsen +1

Variational autoencoders (VAEs) often struggle to represent non-commutative structure in learned latent spaces. Symmetry-aware VAEs commonly address this issue by enforcing commuta…

cs.LG2026

Generating Symmetric Materials using Latent Flow Matching

Anmar Karmush, Cedric Mathieu Brandenburg, Soheil Ershadrad +3

Tackling the task of materials generation, we aim to enhance the previously proposed All-atom Diffusion Transformer (ADiT) by introducing SymADiT, a symmetry-aware variant. To do s…

cs.CV2026

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation

William Ljungbergh, Bernardo Taveira, Wenzhao Zheng +8

Validating autonomous driving (AD) systems requires diverse and safety-critical testing, making photorealistic virtual environments essential. Traditional simulation platforms, whi…

cs.CV2026

DisasterInsight: A Multimodal Benchmark for Function-Aware and Grounded Disaster Assessment

Sara Tehrani, Yonghao Xu, Leif Haglund +2

Timely interpretation of satellite imagery is critical for disaster response, yet existing vision-language benchmarks for remote sensing largely focus on coarse labels and image-le…

cs.CV2025

VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing

Emanuel Sánchez Aimar, Gulnaz Zhambulova, Fahad Shahbaz Khan +2

Satellite imagery differs fundamentally from natural images: its aerial viewpoint, very high resolution, diverse scale variations, and abundance of small objects demand both region…