A top-down perception approach for vehicle pose estimation. - Coralie Bernay-Angeletti; Florian Chabot; Claude Aynaud; Romuald Aufrère; Roland Chapuis (ROBIO, 2015)

Accurate 3D car pose estimation. - Florian Chabot; Mohamed Chaouch; Jaonary Rabarisoa; Céline Teulière; Thierry Chateau (ICIP, 2016)

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; Céline Teulière; Thierry Chateau (CVPR, 2017)

Deep edge-color invariant features for 2D/3D car fine-grained classification. - Florian Chabot; Mohamed Chaouch; Jaonary Rabarisoa; Céline Teulière; Thierry Chateau (Intelligent Vehicles Symposium, 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)

LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection. - Florian Chabot; Mohamed Chaouch; Quoc Cuong Pham (CoRR, 2019)

PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. - Abdallah Benzine; Florian Chabot; Bertrand Luvison; Quoc Cuong Pham; Catherine Achard (CVPR, 2020)

PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. - Abdallah Benzine; Florian Chabot; Bertrand Luvison; Quoc Cong Pham; Cahterine Achrd (CoRR, 2021)

Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks. - Jaonary Rabarisoa; Valentin Belissen; Florian Chabot; Quoc Cuong Pham (CoRR, 2022)

Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning. - Nikolaos Karaliolios; Florian Chabot; Camille Dupont; Hervé Le Borgne; Quoc Cuong Pham; Romaric Audigier (ICIP, 2023)

Image Segmentation-based Unsupervised Multiple 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)

RING-NeRF: A Versatile Architecture based on Residual Implicit Neural Grids. - Doriand Petit; Steve Bourgeois; Dumitru Pavel; Vincent Gay-Bellile; Florian Chabot; Loic Barthe (CoRR, 2023)

DIOD: Self-Distillation Meets Object Discovery. - Sandra Kara; Hejer Ammar; Julien Denize; Florian Chabot; Quoc-Cuong Pham (CVPR, 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 (ECCV (35), 2024)

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

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty. - Rémi Marsal; Florian Chabot; Angelique Loesch; William Grolleau; Hichem Sahbi (WACV, 2024)

Smooth Pseudo-Labeling. - Nikolaos Karaliolios; Hervé Le Borgne; Florian Chabot (CoRR, 2024)

Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion. - Saad Lahlali; Sandra Kara; Hejer Ammar; Florian Chabot; Nicolas Granger 001; Hervé Le Borgne; Quoc-Cuong Pham (CVPR, 2025)

GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation. - Florian Chabot; Nicolas Granger 001; Guillaume Lapouge (WACV, 2025)

xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion. - Saad Lahlali; Sandra Kara; Hejer Ammar; Florian Chabot; Nicolas Granger 001; Hervé Le Borgne; Quoc-Cuong Pham (CoRR, 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 (CoRR, 2025)