42 citations · 43 across the 9 of their papers we have counts for
9 papers
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…
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,…
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…
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…
MobilityDL: A Review of Deep Learning From Trajectory Data
Anita Graser, Anahid Jalali, Jasmin Lampert +2
Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so ha…
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…
A Light-weight Deep Learning Model for Remote Sensing Image Classification
Lam Pham, Cam Le, Dat Ngo +4
In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remo…
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network
Lam Pham, Khoa Tran, Dat Ngo +2
The task of remote sensing image scene classification (RSISC), which aims at classifying remote sensing images into groups of semantic categories based on their contents, has taken…
Deep Learning Frameworks Applied For Audio-Visual Scene Classification
Lam Pham, Alexander Schindler, Mina Schütz +3
In this paper, we present deep learning frameworks for audio-visual scene classification (SC) and indicate how individual visual and audio features as well as their combination aff…