End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning. - Etienne Perot; Maximilian Jaritz; Marin Toromanoff; Raoul de Charette (CVPR Workshops, 2017)

Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation. - Maximilian Jaritz; Raoul de Charette; Émilie Wirbel; Xavier Perrotton; Fawzi Nashashibi (3DV, 2018)

End-to-End Race Driving with Deep Reinforcement Learning. - Maximilian Jaritz; Raoul de Charette; Marin Toromanoff; Etienne Perot; Fawzi Nashashibi (ICRA, 2018)

Multi-View PointNet for 3D Scene Understanding. - Maximilian Jaritz; Jiayuan Gu; Hao Su 001 (ICCV Workshops, 2019)

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. - Maximilian Jaritz; Tuan-Hung Vu; Raoul de Charette; Émilie Wirbel; Patrick Pérez (CVPR, 2020)

2D-3D scene understanding for autonomous driving. (Compréhension 2D-3D de scènes pour la conduite autonome). - Maximilian Jaritz (2020)

Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation. - Maximilian Jaritz; Tuan-Hung Vu; Raoul de Charette; Émilie Wirbel; Patrick Pérez (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LATTECLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts. - Anh-Quan Cao; Maximilian Jaritz; Matthieu Guillaumin; Raoul de Charette; Loris Bazzani (WACV, 2025)

UniCoRN: Unified Commented Retrieval Network with LMMs. - Maximilian Jaritz; Matthieu Guillaumin; Sabine Sternig; Loris Bazzani (CoRR, 2025)

ToFu: Visual Tokens Reduction via Fusion for Multi-modal, Multi-patch, Multi-image Task. - Vittorio Pippi; Matthieu Guillaumin; Silvia Cascianelli; Rita Cucchiara; Maximilian Jaritz; Loris Bazzani (CoRR, 2025)