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20212026
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cs.CV2026

deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal

Lorenzo Beltrame, Jules Salzinger, Filip Svoboda +4

Shadows cast by terrain and tall structures remain a major obstacle for high-resolution satellite image analysis, degrading classification, detection, and 3D reconstruction perform…

cs.CV2026

Winner of CVPR2026 NTIRE Challenge on Image Shadow Removal: Semantic and Geometric Guidance for Shadow Removal via Cascaded Refinement

Lorenzo Beltrame, Jules Salzinger, Filip Svoboda +4

We present a three-stage progressive shadow-removal pipeline for the CVPR2026 NTIRE WSRD+ challenge. Built on OmniSR, our method treats deshadowing as iterative direct refinement,…

cs.CV2025

SEMT: Static-Expansion-Mesh Transformer Network Architecture for Remote Sensing Image Captioning

Khang Truong, Lam Pham, Hieu Tang +4

Image captioning has emerged as a crucial task in the intersection of computer vision and natural language processing, enabling automated generation of descriptive text from visual…

cs.CV2025

RMAU-NET: A Residual-Multihead-Attention U-Net Architecture for Landslide Segmentation and Detection from Remote Sensing Images

Lam Pham, Cam Le, Hieu Tang +6

In recent years, landslide disasters have reported frequently due to the extreme weather events of droughts, floods , storms, or the consequence of human activities such as defores…

cs.CV20231 cited

Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network

Cam Le, Lam Pham, Jasmin Lampert +2

Knowledge about historic landslide event occurrence is important for supporting disaster risk reduction strategies. Building upon findings from 2022 Landslide4Sense Competition, we…