Florian Chabot

12 papers · 2017–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird

💎 Century Club · Bronze 🗃️ Keyword Collector (71)

Venues

WACV (5) CVPR (4) AAAI (1) ECCV (1) ICCV (1)

Top co-authors

Sandra Kara (4) Hejer Ammar (4) Quoc-Cuong Pham (4) Doriand Petit (3) Steve Bourgeois (3) Vincent Gay-Bellile (3) Loïc Barthe (3) Nicolas Granger (2) Rémi Marsal (2) Hichem Sahbi (2)

Research topics

Computer Vision (10) Analysis (10) Deep Learning (6) Machine Learning (6) Learning Types · Machine Learning (6) Learning Types · Deep Learning (5) Artificial Intelligence (3) Application Areas (2) Core AI (2) Learning Paradigms (2) Processing (2) Architectures (1) Domain-Specific (1)

Keywords

object discovery (3) unsupervised learning (2) 3d pose estimation (2) object detection (2) pose estimation (1) scene understanding (1) image segmentation (1) visual question answering (1) motion analysis (1) self-supervised learning (1) weakly supervised learning (1) knowledge distillation (1) depth estimation (1) cross-modal learning (1) 3d scene understanding (1) monocular depth estimation (1) 3d vision (1) human pose estimation (1) bird's eye view (1) uncertainty quantification (1)

Papers

LLaVA³: Representing 3D Scenes Like a Cubist Painter to Boost 3D Scene Understanding of VLMs AAAI 2026 Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion CVPR 2025 DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-vocabulary Queries in NeRF ICCV 2025 GaussianBeV : 3D Gaussian Representation Meets Perception Models for BeV Segmentation WACV 2025 DIOD: Self-Distillation Meets Object Discovery CVPR 2024 MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024 RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields ECCV 2024 The Background Also Matters: Background-Aware Motion-Guided Objects Discovery WACV 2024 BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow WACV 2023 Image Segmentation-Based Unsupervised Multiple Objects Discovery WACV 2023 PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation CVPR 2020 Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image CVPR 2017