Florian Chabot

30 papers A* 5A 5B 3Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	DiGS-3D: Diffusion Transformer as Unstructured 3D Gaussian Splatting Generator. VISAPP (3) Baptiste Engel, Florian Chabot, Mohamed Chaouch, Quoc-Cuong Pham
2026	A*	`conf`	LLaVA³: Representing 3D Scenes Like a Cubist Painter to Boost 3D Scene Understanding of VLMs. AAAI Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe
2025	A*	`conf`	Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion. CVPR Saad Lahlali, Sandra Kara, Hejer Ammar, Florian Chabot, Nicolas Granger, Hervé Le Borgne, Quoc-Cuong Pham
2025	J	`jnl`	DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF. CoRR Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe
2025	A	`conf`	GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation. WACV Florian Chabot, Nicolas Granger, Guillaume Lapouge
2025	J	`jnl`	LLaVA CoRR Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe
2025	J	`jnl`	xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion. CoRR Saad Lahlali, Sandra Kara, Hejer Ammar, Florian Chabot, Nicolas Granger, Hervé Le Borgne, Quoc-Cuong Pham
2024	A*	`conf`	DIOD: Self-Distillation Meets Object Discovery. CVPR Sandra Kara, Hejer Ammar, Julien Denize, Florian Chabot, Quoc-Cuong Pham
2024	J	`jnl`	GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation. CoRR Florian Chabot, Nicolas Granger, Guillaume Lapouge
2024	A	`conf`	MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. WACV Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi
2024	—	`conf`	RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields. ECCV (35) Doriand Petit, Steve Bourgeois, Dumitru Pavel, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe
2024	J	`jnl`	Smooth Pseudo-Labeling. CoRR Nikolaos Karaliolios, Hervé Le Borgne, Florian Chabot
2024	A	`conf`	The Background Also Matters: Background-Aware Motion-Guided Objects Discovery. WACV Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham
2023	A	`conf`	BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. WACV Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi
2023	B	`conf`	Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning. ICIP Nikolaos Karaliolios, Florian Chabot, Camille Dupont, Hervé Le Borgne, Quoc Cuong Pham, Romaric Audigier
2023	A	`conf`	Image Segmentation-based Unsupervised Multiple Objects Discovery. WACV Sandra Kara, Hejer Ammar, Florian Chabot, Quoc Cuong Pham
2023	J	`jnl`	MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. CoRR Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi
2023	J	`jnl`	RING-NeRF: A Versatile Architecture based on Residual Implicit Neural Grids. CoRR Doriand Petit, Steve Bourgeois, Dumitru Pavel, Vincent Gay-Bellile, Florian Chabot, Loic Barthe
2023	J	`jnl`	The Background Also Matters: Background-Aware Motion-Guided Objects Discovery. CoRR Sandra Kara, Hejer Ammar, Florian Chabot, Quoc Cuong Pham
2022	J	`jnl`	Image Segmentation-based Unsupervised Multiple Objects Discovery. CoRR Sandra Kara, Hejer Ammar, Florian Chabot, Quoc Cuong Pham
2022	J	`jnl`	Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks. CoRR Jaonary Rabarisoa, Valentin Belissen, Florian Chabot, Quoc Cuong Pham
2021	J	`jnl`	PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. CoRR Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cong Pham, Cahterine Achrd
2020	A*	`conf`	PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. CVPR Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
2019	J	`jnl`	LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection. CoRR Florian Chabot, Mohamed Chaouch, Quoc Cuong Pham
2017	—	`—`	Analyse fine 2D/3D de véhicules par réseaux de neurones profonds. (2D/3D fine-grained analysis of vehicles using deep neural networks). Florian Chabot
2017	A*	`conf`	Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image. CVPR Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau
2017	J	`jnl`	Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image. CoRR Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau
2017	B	`conf`	Deep edge-color invariant features for 2D/3D car fine-grained classification. Intelligent Vehicles Symposium Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau
2016	B	`conf`	Accurate 3D car pose estimation. ICIP Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau
2015	—	`conf`	A top-down perception approach for vehicle pose estimation. ROBIO Coralie Bernay-Angeletti, Florian Chabot, Claude Aynaud, Romuald Aufrère, Roland Chapuis