Traffic light recognition using image processing compared to learning processes. - Raoul de Charette; Fawzi Nashashibi (IROS, 2009)

Detection of unfocused raindrops on a windscreen using low level image processing. - Fawzi Nashashibi; Raoul de Charette; Alexandre Lia (ICARCV, 2010)

Fast reactive control for illumination through rain and snow. - Raoul de Charette; Robert Tamburo; Peter C. Barnum; Anthony Rowe 001; Takeo Kanade; Srinivasa G. Narasimhan (ICCP, 2012)

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)

Wifi fingerprinting localization for intelligent vehicles in car park. - Van-Dinh Nguyen; Raoul de Charette; Fawzi Nashashibi; Trung-Kien Dao; Eric Castelli (IPIN, 2018)

A Statistical Update of Grid Representations from Range Sensors. - Luis Roldao; Raoul de Charette; Anne Verroust-Blondet (CoRR, 2018)

Physics-Based Rendering for Improving Robustness to Rain. - Shirsendu Sukanta Halder; Jean-François Lalonde; Raoul de Charette (ICCV, 2019)

3D Surface Reconstruction from Voxel-based Lidar Data. - Luis Roldão; Raoul de Charette; Anne Verroust-Blondet (ITSC, 2019)

3D Reconstruction of Deformable Revolving Object under Heavy Hand Interaction. - Raoul de Charette; Sotiris Manitsaris (CoRR, 2019)

A Cooperative Car-Following/Emergency Braking System With Prediction-Based Pedestrian Avoidance Capabilities. - Carlos Flores; Pierre Merdrignac; Raoul de Charette; Francisco M. Navas Matos; Vicente Milanés; Fawzi Nashashibi (IEEE Trans. Intell. Transp. Syst., 2019)

LMSCNet: Lightweight Multiscale 3D Semantic Completion. - Luis Roldão; Raoul de Charette; Anne Verroust-Blondet (3DV, 2020)

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

Model-Based Occlusion Disentanglement for Image-to-Image Translation. - Fabio Pizzati; Pietro Cerri; Raoul de Charette (ECCV (20), 2020)

RGB-D-E: Event Camera Calibration for Fast 6-DOF object Tracking. - Etienne Dubeau; Mathieu Garon; Benoit Debaque; Raoul de Charette; Jean-François Lalonde (ISMAR, 2020)

Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. - Fabio Pizzati; Raoul de Charette; Michela Zaccaria; Pietro Cerri (WACV, 2020)

Model-based disentanglement of lens occlusions. - Fabio Pizzati; Pietro Cerri; Raoul de Charette (CoRR, 2020)

CoMoGAN: Continuous Model-Guided Image-to-Image Translation. - Fabio Pizzati; Pietro Cerri; Raoul de Charette (CVPR, 2021)

Sparse Curriculum Reinforcement Learning for End-to-End Driving. - Pranav Agarwal; Pierre de Beaucorps; Raoul de Charette (CoRR, 2021)

Guided Disentanglement in Generative Networks. - Fabio Pizzati; Pietro Cerri; Raoul de Charette (CoRR, 2021)

Rain Rendering for Evaluating and Improving Robustness to Bad Weather. - Maxime Tremblay; Shirsendu Sukanta Halder; Raoul de Charette; Jean-François Lalonde (Int. J. Comput. Vis., 2021)

Vision for Scene Understanding. - Raoul de Charette (2022)

Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation. - Rong Li; Anh-Quan Cao; Raoul de Charette (BMVC, 2022)

MonoScene: Monocular 3D Semantic Scene Completion. - Anh-Quan Cao; Raoul de Charette (CVPR, 2022)

ManiFest: Manifold Deformation for Few-Shot Image Translation. - Fabio Pizzati; Jean-François Lalonde; Raoul de Charette (ECCV (17), 2022)

Leveraging Local Domains for Image-to-Image Translation. - Anthony Dell'Eva; Fabio Pizzati; Massimo Bertozzi; Raoul de Charette (VISIGRAPP (5: VISAPP), 2022)

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation. - Rong Li; Anh-Quan Cao; Raoul de Charette (CoRR, 2022)

3D Semantic Scene Completion: A Survey. - Luis Roldão; Raoul de Charette; Anne Verroust-Blondet (Int. J. Comput. Vis., 2022)

Scene Understanding: Do we even need Labels and Data ? - Raoul de Charette (ICCP, 2023)

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields. - Anh-Quan Cao; Raoul de Charette (ICCV, 2023)

PØDA: Prompt-driven Zero-shot Domain Adaptation. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (ICCV, 2023)

Cross-task Attention Mechanism for Dense Multi-task Learning. - Ivan Lopes; Tuan-Hung Vu; Raoul de Charette (WACV, 2023)

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)

Physics-Informed Guided Disentanglement in Generative Networks. - Fabio Pizzati; Pietro Cerri; Raoul de Charette (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness. - Anh-Quan Cao; Angela Dai; Raoul de Charette (CVPR, 2024)

A Simple Recipe for Language-Guided Domain Generalized Segmentation. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (CVPR, 2024)

Material Palette: Extraction of Materials from a Single Image. - Ivan Lopes; Fabio Pizzati; Raoul de Charette (CVPR, 2024)

UMBRAE: Unified Multimodal Brain Decoding. - Weihao Xia 001; Raoul de Charette; A. Cengiz Öztireli; Jing-Hao Xue (ECCV (7), 2024)

DREAM: Visual Decoding from REversing HumAn Visual SysteM. - Weihao Xia 001; Raoul de Charette; Cengiz Öztireli; Jing-Hao Xue (WACV, 2024)

UMBRAE: Unified Multimodal Decoding of Brain Signals. - Weihao Xia 001; Raoul de Charette; Cengiz Öztireli; Jing-Hao Xue (CoRR, 2024)

Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (CoRR, 2024)

Domain Adaptation with a Single Vision-Language Embedding. - Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Patrick Pérez; Raoul de Charette (CoRR, 2024)

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

MatSwap: Light-aware material transfers in images. - Ivan Lopes; Valentin Deschaintre; Yannick Hold-Geoffroy; Raoul de Charette (Comput. Graph. Forum, 2025)

Material transforms from disentangled NeRF representations. - Ivan Lopes; Jean-François Lalonde; Raoul de Charette (Comput. Graph. Forum, 2025)

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation. - Yasser Benigmim; Mohammad Fahes; Tuan-Hung Vu; Andrei Bursuc; Raoul de Charette (CoRR, 2025)

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion. - Tetiana Martyniuk; Gilles Puy; Alexandre Boulch; Renaud Marlet; Raoul de Charette (CoRR, 2025)

StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets. - Anh-Quan Cao; Ivan Lopes; Raoul de Charette (CoRR, 2025)