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Morten Rieger Hannemose

2 accepted papers

2026

MMLandmarks: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding

CVPR 2026

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, textual descriptions, geographic coordinates, etc.). Current benchmarks have limited coverage across modalities, leading to sp

Cited by 0SourceScholar
2026

MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations

CVPR 2026

Visual counterfactual explanations aim to reveal the minimal semantic modifications that can alter a model's prediction, providing causal and interpretable insights into deep neural networks. However, existing diffusion-based counterfactual generation methods are often computationally expensive, slo

Cited by 0SourcecodeScholar