Chabot, Florian

10 publications

CVPR 2025 Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion Saad Lahlali, Sandra Kara, Hejer Ammar, Florian Chabot, Nicolas Granger, Hervé Le Borgne, Quoc-Cuong Pham

ICCV 2025 DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-Vocabulary Queries in NeRF Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe

WACV 2025 GaussianBeV : 3D Gaussian Representation Meets Perception Models for BeV Segmentation Florian Chabot, Nicolas Granger, Guillaume Lapouge

CVPR 2024 DIOD: Self-Distillation Meets Object Discovery Sandra Kara, Hejer Ammar, Julien Denize, Florian Chabot, Quoc-Cuong Pham

WACV 2024 MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty Rémi Marsal, Florian Chabot, Angélique Loesch, William Grolleau, Hichem Sahbi

ECCV 2024 RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields Doriand Petit, Steve Bourgeois, Dumitru Pavel, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe

WACV 2024 The Background Also Matters: Background-Aware Motion-Guided Objects Discovery Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham

WACV 2023 BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi

WACV 2023 Image Segmentation-Based Unsupervised Multiple Objects Discovery Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham

CVPR 2017 Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Celine Teuliere, Thierry Chateau