Nicolas Vercheval

Orcid: 0000-0002-4704-1577

According to our database1, Nicolas Vercheval authored at least 7 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PCGen: A Fully Parallelizable Point Cloud Generative Model.
Sensors, March, 2024

Not All Boxes Are Equal: Learning to Optimize Bounding Boxes With Discriminative Distributions in Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning.
Sensors, October, 2023

Counterfactual Functional Connectomes for Neurological Classifier Selection.
Proceedings of the 31st European Signal Processing Conference, 2023

2021
Hierarchical Variational Autoencoder for Visual Counterfactuals.
CoRR, 2021

Hierarchical Variational Autoencoders For Visual Counterfactuals.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Variational Auto-Encoders Without Graph Coarsening For Fine Mesh Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020


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