Nicolas Granger

Orcid: 0000-0003-2943-9888

Affiliations:
  • University of Paris-Saclay, CEA, Palaiseau, France (PhD 2019)
  • Télécom SudParis, SAMOVAR research lab, Evry, France


According to our database1, Nicolas Granger authored at least 7 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion.
CoRR, March, 2025

ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2019
Deep-learning for high dimensional sequential observations : application to continuous gesture recognition. (Modélisation par réseaux de neurones profonds pour l'apprentissage continu d'objets et de gestes par un robot).
PhD thesis, 2019

2018
SeqTools: A python package for easy transformation, combination and evaluation of large datasets.
J. Open Source Softw., 2018

2017
Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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