Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognition. - Nicolas Granger 001; Mounîm A. El-Yacoubi (ICONIP (2), 2017)

SeqTools: A python package for easy transformation, combination and evaluation of large datasets. - Nicolas Granger 001; Mounîm A. El-Yacoubi (J. Open Source Softw., 2018)

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). - Nicolas Granger 001 (2019)

Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion. - Saad Lahlali; Sandra Kara; Hejer Ammar; Florian Chabot; Nicolas Granger 001; Hervé Le Borgne; Quoc-Cuong Pham (CVPR, 2025)

GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation. - Florian Chabot; Nicolas Granger 001; Guillaume Lapouge (WACV, 2025)

ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only. - Saad Lahlali; Nicolas Granger 001; Hervé Le Borgne; Quoc-Cuong Pham (WACV, 2025)

xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion. - Saad Lahlali; Sandra Kara; Hejer Ammar; Florian Chabot; Nicolas Granger 001; Hervé Le Borgne; Quoc-Cuong Pham (CoRR, 2025)