Nicolas Vercheval

According to our database, Nicolas Vercheval authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

PCGen: A Fully Parallelizable Point Cloud Generative Model.

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.

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.

Leon Denis, Remco Royen, Quentin Bolsée, Nicolas Vercheval, Aleksandra Pizurica, Adrian Munteanu

Sensors, October, 2023

Counterfactual Functional Connectomes for Neurological Classifier Selection.

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.

Nicolas Vercheval, Aleksandra Pizurica

CoRR, 2021

Hierarchical Variational Autoencoders For Visual Counterfactuals.

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.

Nicolas Vercheval, Hendrik De Bie, Aleksandra Pizurica

Proceedings of the IEEE International Conference on Image Processing, 2020