de Charette, Raoul

16 publications

ICCV 2025 FLOSS: Free Lunch in Open-Vocabulary Semantic Segmentation Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette
WACV 2025 LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, Loris Bazzani
CVPR 2024 A Simple Recipe for Language-Guided Domain Generalized Segmentation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
WACV 2024 DREAM: Visual Decoding from Reversing Human Visual System Weihao Xia, Raoul de Charette, Cengiz Oztireli, Jing-Hao Xue
CVPR 2024 Material Palette: Extraction of Materials from a Single Image Ivan Lopes, Fabio Pizzati, Raoul de Charette
CVPR 2024 PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness Anh-Quan Cao, Angela Dai, Raoul de Charette
ECCV 2024 UMBRAE: Unified Multimodal Brain Decoding Weihao Xia, Raoul de Charette, A. Cengiz Oztireli, Jing-Hao Xue
WACV 2023 Cross-Task Attention Mechanism for Dense Multi-Task Learning Ivan Lopes, Tuan-Hung Vu, Raoul de Charette
ICCV 2023 PODA: Prompt-Driven Zero-Shot Domain Adaptation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
ICCV 2023 SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields Anh-Quan Cao, Raoul de Charette
ECCV 2022 ManiFest: Manifold Deformation for Few-Shot Image Translation Fabio Pizzati, Jean-François Lalonde, Raoul de Charette
CVPR 2022 MonoScene: Monocular 3D Semantic Scene Completion Anh-Quan Cao, Raoul de Charette
CVPR 2021 CoMoGAN: Continuous Model-Guided Image-to-Image Translation Fabio Pizzati, Pietro Cerri, Raoul de Charette
WACV 2020 Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri
ECCV 2020 Model-Based Occlusion Disentanglement for Image-to-Image Translation Fabio Pizzati, Pietro Cerri, Raoul de Charette
CVPRW 2017 End-to-End Driving in a Realistic Racing Game with Deep Reinforcement Learning Etienne Perot, Maximilian Jaritz, Marin Toromanoff, Raoul de Charette