We stand with Ukraine  

Nicolas Vercheval

Orcid: 0000-0002-4704-1577

According to our database1, Nicolas Vercheval authored at least 8 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Towards Point Cloud Counterfactual Explanations.
[BibTeX]
[DOI]
Nicolas Vercheval
,
Aleksandra Pizurica
Proceedings of the 33rd European Signal Processing Conference, 2025

2024
PCGen: A Fully Parallelizable Point Cloud Generative Model.
[BibTeX]
[DOI]
Nicolas Vercheval
,
Remco Royen
,
Adrian Munteanu
,
Aleksandra Pizurica
Sensors, March, 2024

Not All Boxes Are Equal: Learning to Optimize Bounding Boxes With Discriminative Distributions in Optical Remote Sensing Images.
[BibTeX]
[DOI]
Qi Ming
,
Lingjuan Miao
,
Zhiqiang Zhou
,
Nicolas Vercheval
,
Aleksandra Pizurica
IEEE Trans. Geosci. Remote. Sens., 2024

2023
GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning.
[BibTeX]
[DOI]
Leon Denis
,
Remco Royen
,
Quentin Bolsée
,
Nicolas Vercheval
,
Aleksandra Pizurica
,
Adrian Munteanu
Sensors, October, 2023

Counterfactual Functional Connectomes for Neurological Classifier Selection.
[BibTeX]
[DOI]
Nicolas Vercheval
,
Marin Bencevic
,
Dario Muzevic
,
Irena Galic
,
Aleksandra Pizurica
Proceedings of the 31st European Signal Processing Conference, 2023

2021
Hierarchical Variational Autoencoder for Visual Counterfactuals.
[BibTeX]
[DOI]
Nicolas Vercheval
,
Aleksandra Pizurica
CoRR, 2021

Hierarchical Variational Autoencoders For Visual Counterfactuals.
[BibTeX]
[DOI]
Nicolas Vercheval
,
Aleksandra Pizurica
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Variational Auto-Encoders Without Graph Coarsening For Fine Mesh Learning.
[BibTeX]
[DOI]
Nicolas Vercheval
,
Hendrik De Bie
,
Aleksandra Pizurica
Proceedings of the IEEE International Conference on Image Processing, 2020


  Loading...