Maximilian Jaritz

16 papers A* 2A 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
LATTECLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts.
WACV
Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, Loris Bazzani
2025 J jnl
ToFu: Visual Tokens Reduction via Fusion for Multi-modal, Multi-patch, Multi-image Task.
CoRR
Vittorio Pippi, Matthieu Guillaumin, Silvia Cascianelli, Rita Cucchiara, Maximilian Jaritz, Loris Bazzani
2025 J jnl
UniCoRN: Unified Commented Retrieval Network with LMMs.
CoRR
Maximilian Jaritz, Matthieu Guillaumin, Sabine Sternig, Loris Bazzani
2024 J jnl
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts.
CoRR
Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, Loris Bazzani
2023 J jnl
Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
2021 J jnl
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation.
CoRR
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
2020 — —
2D-3D scene understanding for autonomous driving. (Compréhension 2D-3D de scènes pour la conduite autonome).
Maximilian Jaritz
2020 A* conf
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation.
CVPR
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
2019 — conf
Multi-View PointNet for 3D Scene Understanding.
ICCV Workshops
Maximilian Jaritz, Jiayuan Gu, Hao Su
2019 J jnl
Multi-view PointNet for 3D Scene Understanding.
CoRR
Maximilian Jaritz, Jiayuan Gu, Hao Su
2019 J jnl
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation.
CoRR
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez
2018 A* conf
End-to-End Race Driving with Deep Reinforcement Learning.
ICRA
Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, Fawzi Nashashibi
2018 J jnl
End-to-End Race Driving with Deep Reinforcement Learning.
CoRR
Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, Fawzi Nashashibi
2018 — conf
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation.
3DV
Maximilian Jaritz, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, Fawzi Nashashibi
2018 J jnl
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation.
CoRR
Maximilian Jaritz, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, Fawzi Nashashibi
2017 — conf
End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning.
CVPR Workshops
Etienne Perot, Maximilian Jaritz, Marin Toromanoff, Raoul de Charette