12 papers
Physics-Informed Modeling for Wood Thermal Analysis and Prediction
Jingren Xie, Alex John Buckthal, Ryan Anthony O'Connor +2
Wood materials exhibit complex, spatially varying thermal properties that challenge traditional architectural assumptions of material homogeneity. Although data-driven approaches c…
MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding
Oskar Kristoffersen, Alba Reinders Sánchez, Morten Rieger Hannemose +2
Geo-spatial analysis of our world benefits from a multimodal approach, as every single geographic location can be described in numerous ways (images from various viewpoints, textua…
HiddenObjects: Scalable Diffusion-Distilled Spatial Priors for Object Placement
Marco Schouten, Ioannis Siglidis, Serge Belongie +1
We propose a method to learn explicit, class-conditioned spatial priors for object placement in natural scenes by distilling the implicit placement knowledge encoded in text-condit…
Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels
Juan Miguel Valverde, Dim P. Papadopoulos, Rasmus Larsen +1
Standard deep learning models for image segmentation cannot guarantee topology accuracy, failing to preserve the correct number of connected components or structures. This, in turn…
Efficient Test-Time Scaling for Small Vision-Language Models
Mehmet Onurcan Kaya, Desmond Elliott, Dim P. Papadopoulos
Small Vision-Language Models (VLMs) provide a computationally efficient alternative to larger models, at the cost of weaker generalization abilities and downstream task performance…
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training
Kaixuan Lu, Mehmet Onurcan Kaya, Dim P. Papadopoulos
Video Instance Segmentation (VIS) faces significant annotation challenges due to its dual requirements of pixel-level masks and temporal consistency labels. While recent unsupervis…