Material Transforms from Disentangled NeRF Representations Ivan Lopes, Jean-François Lalonde, and Raoul de Charette arXiv 2024 Bib PDF Code @article{lopes2024brdftransform, author = {Lopes, Ivan and Lalonde, Jean-François and de Charette, Raoul}, title = {Material Transforms from Disentangled NeRF Representations}, year = {2024}, journal = {arXiv}, } Domain Adaptation with a Single Vision-Language Embedding Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, and Raoul de Charette arXiv 2024 Bib PDF Code @article{fahes2024domain, title = {Domain Adaptation with a Single Vision-Language Embedding}, author = {Fahes, Mohammad and Vu, Tuan-Hung and Bursuc, Andrei and Pérez, Patrick and de Charette, Raoul}, year = {2024}, journal = {arXiv}, } Fine-Tuning CLIP’s Last Visual Projector: A Few-Shot Cornucopia Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, and Raoul de Charette arXiv 2024 Bib PDF Code @article{fahes2024fine, title = {Fine-Tuning CLIP's Last Visual Projector: A Few-Shot Cornucopia}, author = {Fahes, Mohammad and Vu, Tuan-Hung and Bursuc, Andrei and P{\'e}rez, Patrick and de Charette, Raoul}, journal = {arXiv}, year = {2024}, } LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, and Loris Bazzani In WACV 2025 Bib PDF Code @inproceedings{cao2024latteclip, title = {LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts}, author = {Cao, Anh-Quan and Jaritz, Maximilian and Guillaumin, Matthieu and de Charette, Raoul and Bazzani, Loris}, booktitle = {WACV}, year = {2025}, } UMBRAE: Unified Multimodal Decoding of Brain Signals Weihao Xia, Raoul de Charette, Cengiz Öztireli, and Jing-Hao Xue In ECCV 2024 Bib Project page PDF Code @inproceedings{xia2024umbrae, title = {UMBRAE: Unified Multimodal Decoding of Brain Signals}, author = {Xia, Weihao and de Charette, Raoul and Öztireli, Cengiz and Xue, Jing-Hao}, booktitle = {ECCV}, project = {https://weihaox.github.io/UMBRAE/}, year = {2024} } PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness Anh-Quan Cao, Angela Dai, and Raoul de Charette In CVPR 2024Oral, Best paper award Candidate Bib Project page PDF Code @inproceedings{cao2023pasco, author = {Cao, Anh-Quan and Dai, Angela and de Charette, Raoul}, title = {PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness}, booktitle = {CVPR}, year = {2024}, project = {https://astra-vision.github.io/PaSCo/} } A Simple Recipe for Language-guided Domain Generalized Segmentation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, and Raoul de Charette In CVPR 2024 Bib Project page PDF Code @inproceedings{fahes2023simple, title = {A Simple Recipe for Language-guided Domain Generalized Segmentation}, author = {Fahes, Mohammad and Vu, Tuan-Hung and Bursuc, Andrei and P{\'e}rez, Patrick and de Charette, Raoul}, booktitle = {CVPR}, year = {2024}, project = {https://astra-vision.github.io/FAMix/} } Material Palette: Extraction of Materials from a Single Image Ivan Lopes, Fabio Pizzati, and Raoul de Charette In CVPR 2024 Bib Project page PDF Code @inproceedings{lopes2023material, author = {Lopes, Ivan and Pizzati, Fabio and de Charette, Raoul}, title = {Material Palette: Extraction of Materials from a Single Image}, booktitle = {CVPR}, year = {2024}, project = {https://astra-vision.github.io/MaterialPalette/} } DREAM: Visual Decoding from Reversing Human Visual System Weihao Xia, Raoul de Charette, Cengiz Öztireli, and Jing-Hao Xue In WACV 2024 Bib Project page PDF Code @inproceedings{xia2023dream, author = {Xia, Weihao and de Charette, Raoul and Öztireli, Cengiz and Xue, Jing-Hao}, title = {DREAM: Visual Decoding from Reversing Human Visual System}, booktitle = {WACV}, year = {2024}, project = {https://weihaox.github.io/DREAM/} } Physics-aware guided disentanglement for generative networks Fabio Pizzati, Pietro Cerri, and Raoul de Charette T-PAMI 2023 Bib PDF Code @article{pizzati2023guided, title = {Physics-aware guided disentanglement for generative networks}, author = {Pizzati, Fabio and Cerri, Pietro and {de Charette}, Raoul}, journal = {T-PAMI}, year = {2023}, } PODA: Prompt-driven Zero-shot Domain Adaptation Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, and Raoul de Charette In ICCV 2023 Bib Project page PDF Code @inproceedings{fahes2022poda, author = {Fahes, Mohammad and Vu, Tuan-Hung and Bursuc, Andrei and P{\'e}rez, Patrick and de Charette, Raoul}, title = {PODA: Prompt-driven Zero-shot Domain Adaptation}, booktitle = {ICCV}, year = {2023}, project = {https://astra-vision.github.io/PODA/}, } SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields Anh-Quan Cao, and Raoul de Charette In ICCV 2023 Bib Project page PDF Code @inproceedings{cao2022scenerf, author = {Cao, Anh-Quan and de Charette, Raoul}, title = {SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields}, booktitle = {ICCV}, year = {2023}, project = {https://astra-vision.github.io/SceneRF/}, } Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes, Tuan-Hung Vu, and Raoul de Charette In WACV 2023 Bib PDF Code @inproceedings{lopes2022densemtl, title = {Cross-task Attention Mechanism for Dense Multi-task Learning}, author = {Lopes, Ivan and Vu, Tuan-Hung and {de Charette}, Raoul}, booktitle = {WACV}, year = {2023}, } COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation Rong Li, Anh-Quan Cao, and Raoul de Charette In BMVC 2022 Bib PDF Code @inproceedings{rong2022coarse3d, title = {COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation}, author = {Li, Rong and Cao, Anh-Quan and {de Charette}, Raoul}, booktitle = {BMVC}, year = {2022}, } Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet In CVPR 2022 Bib Project page PDF Code @inproceedings{sautier22slidr, title = {Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data}, author = {Sautier, Corentin and Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Bursuc, Andrei and Marlet, Renaud}, booktitle = {CVPR}, year = {2022}, } ManiFest: Manifold deformation for few-shot image translation Fabio Pizzati, Jean-François Lalonde, and Raoul de Charette In ECCV 2022 Bib PDF Code @inproceedings{pizzati2021manifest, title = {{ManiFest}: Manifold deformation for few-shot image translation}, author = {Pizzati, Fabio and Lalonde, Jean-Fran{\c{c}}ois and {de Charette}, Raoul}, booktitle = {ECCV}, year = {2022}, } Some other relevant team members' works prior to the Astra-vision group creation. Cross-modal learning for domain adaptation in 3d semantic segmentation Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, and Patrick Pérez T-PAMI 2022 Bib PDF Code @article{jaritz2022cross, title = {Cross-modal learning for domain adaptation in 3d semantic segmentation}, author = {Jaritz, Maximilian and Vu, Tuan-Hung and {de Charette}, Raoul and Wirbel, {\'E}milie and P{\'e}rez, Patrick}, journal = {T-PAMI}, year = {2022}, } MonoScene: Monocular 3D Semantic Scene Completion Anh-Quan Cao, and Raoul de Charette In CVPR 2022 Bib Project page PDF Code Live demo @inproceedings{cao2022monoscene, title = {MonoScene: Monocular 3D Semantic Scene Completion}, author = {Cao, Anh-Quan and de Charette, Raoul}, booktitle = {CVPR}, year = {2022}, project = {https://cv-rits.github.io/MonoScene/}, github_star = {https://github.com/astra-vision/MonoScene}, } PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds Anh-Quan Cao, Gilles Puy, Alexandre Boulch, and Renaud Marlet In ICCV 2021 Bib Project page PDF Code @inproceedings{cao21pcam, title = {{PCAM}: {P}roduct of {C}ross-{A}ttention {M}atrices for {R}igid {R}egistration of {P}oint {C}louds}, author = {Cao, Anh-Quan and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud}, booktitle = {ICCV}, year = {2021}, github_star = {https://github.com/valeoai/PCAM} } Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez In ICCV 2021 Bib Project page PDF Code @inproceedings{saporta2021mtaf, title = {Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation}, author = {Saporta, Antoine and Vu, Tuan-Hung and Cord, Matthieu and P{\'e}rez, Patrick}, booktitle = {ICCV}, year = {2021}, } 3D semantic scene completion: a survey Luis Roldão, Raoul de Charette, and Anne Verroust-Blondet IJCV 2022 Bib PDF @article{roldao20223d, title = {3D semantic scene completion: a survey}, author = {Rold{\~a}o, Luis and {de Charette}, Raoul and Verroust-Blondet, Anne}, journal = {IJCV}, year = {2022}, publisher = {Springer}, } Leveraging Local Domains for Image-to-Image Translation Anthony Dell’Eva, Fabio Pizzati, Massimo Bertozzi, and Raoul de Charette In VISAPP 2021Best paper award Bib PDF @inproceedings{dell2021leveraging, title = {Leveraging Local Domains for Image-to-Image Translation}, author = {Dell'Eva, Anthony and Pizzati, Fabio and Bertozzi, Massimo and {de Charette}, Raoul}, booktitle = {VISAPP}, year = {2021}, } CoMoGAN: continuous model-guided image-to-image translation Fabio Pizzati, Pietro Cerri, and Raoul de Charette In CVPR 2021oral Bib PDF Supp Code Video @inproceedings{pizzati2021comogan, title = {CoMoGAN: continuous model-guided image-to-image translation}, author = {Pizzati, Fabio and Cerri, Pietro and {de Charette}, Raoul}, booktitle = {CVPR}, year = {2021}, } Learning Representations by Predicting Bags of Visual Words Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, and Patrick Pérez In CVPR 2021 Bib PDF Code @inproceedings{gidaris2021obow, title = {Learning Representations by Predicting Bags of Visual Words}, author = {Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Komodakis, Nikos and Cord, Matthieu and P{\'e}rez, Patrick}, booktitle = {CVPR}, year = {2021}, } Semantic Palette: Guiding Scene Generation with Class Proportions Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, and Matthieu Cord In CVPR 2021 Bib Project page PDF Code @inproceedings{lemoing2021semanticpalette, title = {Semantic Palette: Guiding Scene Generation with Class Proportions}, author = {Le Moing, Guillaume and Vu, Tuan-Hung and Jain, Himalaya and P{\'e}rez, Patrick and Cord, Matthieu}, booktitle = {CVPR}, year = {2021}, } NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy, and Renaud Marlet In 3DV 2021 Bib Project page PDF Code @inproceedings{boulch2021needrop, title = {NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping}, author = {Boulch, Alexandre and Langlois, Pierre-Alain and Puy, Gilles and Marlet, Renaud}, booktitle = {3DV}, year = {2021}, } Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni, Gilles Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, and Jean Ponce In BMVC 2021 Bib Project page PDF Code @inproceedings{LOST, title = {Localizing Objects with Self-Supervised Transformers and no Labels}, author = {Sim\'eoni, Oriane and Puy, Gilles and Vo, Huy V. and Roburin, Simon and Gidaris, Spyros and Bursuc, Andrei and P\'erez, Patrick and Marlet, Renaud and Ponce, Jean}, booktitle = {BMVC}, year = {2021}, } Confidence Estimation via Auxiliary Models Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez T-PAMI 2021 Bib Project page PDF Code @article{corbiere2021confidence, author = {Corbière, Charles and Thome, Nicolas and Saporta, Antoine and Vu, Tuan-Hung and Cord, Matthieu and P{\'e}rez, Patrick}, title = {Confidence Estimation via Auxiliary Models}, journal = {T-PAMI}, year = {2021}, } LMSCNet: Lightweight Multiscale 3D Semantic Completion Luis Roldão, Raoul de Charette, and Anne Verroust-Blondet In 3DV 2020oral Bib PDF Code Video @inproceedings{roldao2020lmscnet, title = {LMSCNet: Lightweight Multiscale 3D Semantic Completion}, author = {Rold{\~a}o, Luis and {de Charette}, Raoul and Verroust-Blondet, Anne}, booktitle = {3DV}, year = {2020}, } FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy, Alexandre Boulch, and Renaud Marlet In ECCV 2020 Bib Project page PDF Code @inproceedings{puy20flot, title = {FLOT: Scene Flow on Point Clouds Guided by Optimal Transport}, author = {Puy, Gilles and Boulch, Alexandre and Marlet, Renaud}, booktitle = {ECCV}, year = {2020}, } Rain rendering for evaluating and improving robustness to bad weather Maxime Tremblay, Shirsendu Halder, Raoul de Charette, and Jean-Francois Lalonde IJCV 2020 Bib Project page PDF Code @article{tremblay2020, title = {Rain rendering for evaluating and improving robustness to bad weather}, author = {Tremblay, Maxime and Halder, Shirsendu and {de Charette}, Raoul and Lalonde, Jean-Francois}, journal = {IJCV}, year = {2020}, project = {https://team.inria.fr/rits/computer-vision/weather-augment/} } xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Emilie Wirbel, and Patrick Pérez In CVPR 2020 Bib PDF Code Video Slides @inproceedings{jaritz2019xmuda, title = {{xMUDA}: Cross-Modal Unsupervised Domain Adaptation for {3D} Semantic Segmentation}, author = {Jaritz, Maximilian and Vu, Tuan-Hung and {de Charette}, Raoul and Wirbel, Emilie and P{\'e}rez, Patrick}, booktitle = {CVPR}, year = {2020}, } Model-based disentanglement of lens occlusions Fabio Pizzati, Pietro Cerri, and Raoul de Charette In ECCV 2020 Bib PDF Video Slides @inproceedings{pizzati2020model, title = {Model-based disentanglement of lens occlusions}, author = {Pizzati, Fabio and Cerri, Pietro and {de Charette}, Raoul}, booktitle = {ECCV}, year = {2020}, } RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking Etienne Dubeau, Mathieu Garon, Benoit Debaque, Raoul de Charette, and Jean-François Lalonde In ISMAR 2020 Bib Project page PDF Code Poster @inproceedings{dubeau2020rgb, title = {RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking}, author = {Dubeau, Etienne and Garon, Mathieu and Debaque, Benoit and {de Charette}, Raoul and Lalonde, Jean-Fran{\c{c}}ois}, booktitle = {ISMAR}, year = {2020}, project = {https://lvsn.github.io/rgbde_tracking/} } FKAConv: Feature-Kernel Alignment for Point Cloud Convolutions Alexandre Boulch, Gilles Puy, and Renaud Marlet In ACCV 2020 Bib Project page PDF Code @inproceedings{boulch2020fka, title = {FKAConv: Feature-Kernel Alignment for Point Cloud Convolutions}, author = {Boulch, Alexandre and Puy, Gilles and Marlet, Renaud}, booktitle = {ACCV}, year = {2020}, } Domain bridge for unpaired image-to-image translation and unsupervised domain adaptation Fabio Pizzati, Raoul de Charette, Michela Zaccaria, and Pietro Cerri In WACV 2020 Bib PDF @inproceedings{pizzati2020domain, title = {Domain bridge for unpaired image-to-image translation and unsupervised domain adaptation}, author = {Pizzati, Fabio and Charette, Raoul de and Zaccaria, Michela and Cerri, Pietro}, booktitle = {WACV}, year = {2020}, } Physics-Based Rain Rendering for Studying and Improving Robustness to Rain Shirsendu Halder, Jean-Francois Lalonde, and Raoul de Charette In ICCV 2019 Bib Project page PDF Supp Code Poster Video @inproceedings{halder2019Physics, title = {Physics-Based Rain Rendering for Studying and Improving Robustness to Rain}, author = {Halder, Shirsendu and Lalonde, Jean-Francois and {de Charette}, Raoul}, booktitle = {ICCV}, year = {2019}, project = {https://team.inria.fr/rits/computer-vision/weather-augment/}, } Dada: Depth-aware domain adaptation in semantic segmentation Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez In ICCV 2019 Bib Project page PDF Code @inproceedings{vu2019dada, title = {Dada: Depth-aware domain adaptation in semantic segmentation}, author = {Vu, Tuan-Hung and Jain, Himalaya and Bucher, Maxime and Cord, Matthieu and P{\'e}rez, Patrick}, booktitle = {ICCV}, year = {2019}, } Zero-shot semantic segmentation Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez In NeurIPS 2019 Bib Project page PDF Code @inproceedings{bucher2019zero, title = {Zero-shot semantic segmentation}, author = {Bucher, Maxime and Vu, Tuan-Hung and Cord, Matthieu and P{\'e}rez, Patrick}, booktitle = {NeurIPS}, year = {2019}, } ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, and Patrick Pérez In CVPR 2019oral Bib Project page PDF Code @inproceedings{vu2018advent, title = {ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation}, author = {Vu, Tuan-Hung and Jain, Himalaya and Bucher, Maxime and Cord, Matthieu and P{\'e}rez, Patrick}, booktitle = {CVPR}, year = {2019}, } 3D Surface Reconstruction from Voxel-based Lidar Data Luis Roldão, Raoul de Charette, and Anne Verroust-Blondet In ITSC 2019 Bib PDF @inproceedings{roldao20193dsurface, title = {3D Surface Reconstruction from Voxel-based Lidar Data}, author = {Rold{\~a}o, Luis and {de Charette}, Raoul and Verroust-Blondet, Anne}, booktitle = {ITSC}, year = {2019}, } Sparse and dense data with cnns: Depth completion and semantic segmentation Maximilian Jaritz, Raoul de Charette, Emilie Wirbel, Xavier Perrotton, and Fawzi Nashashibi In 3DV 2018 Bib PDF @inproceedings{jaritz2018sparse, title = {Sparse and dense data with cnns: Depth completion and semantic segmentation}, author = {Jaritz, Maximilian and {de Charette}, Raoul and Wirbel, Emilie and Perrotton, Xavier and Nashashibi, Fawzi}, booktitle = {3DV}, year = {2018}, } End-to-end race driving with deep reinforcement learning Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, and Fawzi Nashashibi In ICRA 2018 Bib Project page PDF Poster Video @inproceedings{jaritz2018end, title = {End-to-end race driving with deep reinforcement learning}, author = {Jaritz, Maximilian and {de Charette}, Raoul and Toromanoff, Marin and Perot, Etienne and Nashashibi, Fawzi}, booktitle = {ICRA}, year = {2018}, project = {https://team.inria.fr/rits/drl/}, }