Florian Chabot

According to our database1, Florian Chabot authored at least 25 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DiGS-3D: Diffusion Transformer as Unstructured 3D Gaussian Splatting Generator.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

LLaVA³: Representing 3D Scenes Like a Cubist Painter to Boost 3D Scene Understanding of VLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LLaVA<sup>3</sup>: Representing 3D Scenes like a Cubist Painter to Boost 3D Scene Understanding of VLMs.
CoRR, November, 2025

xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion.
CoRR, March, 2025

GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-Vocabulary Queries in NeRF.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Smooth Pseudo-Labeling.
CoRR, 2024

MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

The Background Also Matters: Background-Aware Motion-Guided Objects Discovery.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields.
Proceedings of the Computer Vision - ECCV 2024, 2024

DIOD: Self-Distillation Meets Object Discovery.
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.
CoRR, 2023

BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Image Segmentation-based Unsupervised Multiple Objects Discovery.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks.
CoRR, 2022

2021
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation.
CoRR, 2021

2020
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation.
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.
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).
PhD thesis, 2017

Deep edge-color invariant features for 2D/3D car fine-grained classification.
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.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Accurate 3D car pose estimation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
A top-down perception approach for vehicle pose estimation.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015


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