Florian Chabot

According to our database, Florian Chabot authored at least 22 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, July, 2025

xMOD: 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

CoRR, March, 2025

GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation.

Florian Chabot, Nicolas Granger, Guillaume Lapouge

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Smooth Pseudo-Labeling.

Nikolaos Karaliolios, Hervé Le Borgne, Florian Chabot

CoRR, 2024

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty.

Rémi Marsal, Florian Chabot, Angelique Loesch, William Grolleau, Hichem Sahbi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

The Background Also Matters: Background-Aware Motion-Guided Objects Discovery.

Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

DIOD: Self-Distillation Meets Object Discovery.

Sandra Kara, Hejer Ammar, Julien Denize, Florian Chabot, Quoc-Cuong Pham

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow.

Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Image Segmentation-based Unsupervised Multiple Objects Discovery.

Sandra Kara, Hejer Ammar, Florian Chabot, Quoc Cuong Pham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning.

Nikolaos Karaliolios, Florian Chabot, Camille Dupont, Hervé Le Borgne, Quoc Cuong Pham, Romaric Audigier

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks.

Jaonary Rabarisoa, Valentin Belissen, Florian Chabot, Quoc Cuong Pham

CoRR, 2022

2021

PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation.

Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cong Pham, Cahterine Achrd

CoRR, 2021

2020

PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation.

Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection.

Florian Chabot, Mohamed Chaouch, Quoc Cuong Pham

CoRR, 2019

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

PhD thesis, 2017

Deep edge-color invariant features for 2D/3D car fine-grained classification.

Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau

Proceedings of the IEEE Intelligent Vehicles Symposium, 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, Céline Teulière, Thierry Chateau

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Accurate 3D car pose estimation.

Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A top-down perception approach for vehicle pose estimation.

Coralie Bernay-Angeletti, Florian Chabot, Claude Aynaud, Romuald Aufrère, Roland Chapuis

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015