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Researcher
Nicolas Vercheval
Profile
Projects
Publications & Research Data
Activities
Awards & Distinctions
Patents
7
Results
2025
Towards point cloud counterfactual explanations
Nicolas Vercheval
Aleksandra Pizurica
C1
Conference
2025
2024
Not all boxes are equal : learning to optimize bounding boxes with discriminative distributions in optical remote sensing images
Qi Ming
Lingjuan Miao
Zhiqiang Zhou
Nicolas Vercheval
Aleksandra Pizurica
A1
Journal Article
in
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2024
PCGen : a fully parallelizable point cloud generative model
Nicolas Vercheval
Remco Royen
Adrian Munteanu
Aleksandra Pizurica
A1
Journal Article
in
SENSORS
2024
2023
Counterfactual functional connectomes for neurological classifier selection
Nicolas Vercheval
Marin Benčević
Dario Mužević,
Irena Galić
Aleksandra Pizurica
C1
Conference
2023
GPU rasterization-based 3D LiDAR simulation for deep learning
Leon Denis
Remco Royen
Quentin Bolsée
Nicolas Vercheval
Aleksandra Pizurica
Adrian Munteanu
A1
Journal Article
in
SENSORS
2023
2021
Hierarchical variational autoencoders for visual counterfactuals
Nicolas Vercheval
Aleksandra Pizurica
P1
Conference
2021
2020
Variational auto-encoders without graph coarsening for fine mesh learning
Nicolas Vercheval
Hendrik De Bie
Aleksandra Pizurica
P1
Conference
2020