Skip to content
conftrace_

David Filliat

8 papers · 2019–2026 · 6 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

Jump to papers ↓
+1 more ↓ 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🔥 Unstoppable · Bronze

Venues

WACV (3) AAAI (1) CVPR (1) ECCV (1) ICLR (1) NeurIPS (1)

Top co-authors

Gianni Franchi (4) Marwane Hariat (3) Antoine Manzanera (3) Xuanlong Yu (2) Goran Frehse (2) Eloïse Berthier (2) Michael Garcia Ortiz (1) Nicolas Bousquet (1) Hugo Caselles-Dupré (1) Patricia Delhomme (1)

Research topics

Machine Learning (6) Artificial Intelligence (3) Computer Vision (3) Deep Learning (3) Analysis (3) Core AI (3) Learning Types · Machine Learning (3) Learning Types · Deep Learning (2) Optimization & Theory (2) Architectures (1) Core Methods (1) Domain-Specific (1)

Keywords

depth estimation (2) self-supervised learning (2) depth prediction (2) computer vision (1) uncertainty quantification (1) object detection (1) motion estimation (1) autonomous driving (1) monocular depth estimation (1) explainable ai (1) trajectory forecasting (1) group theory (1) optical flow (1) temporal difference (1) multimodal distribution (1) disentangled representation (1) multimodal dataset (1) random feature (1) autonomous agent (1) environment interaction (1)

Papers

Benchmarking XAI Explanations with Human-Aligned Evaluations AAAI 2026 Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting WACV 2025 Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks CVPR 2025 InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset WACV 2024 On Double Descent in Reinforcement Learning with LSTD and Random Features ICLR 2024 Rebalancing Gradient To Improve Self-Supervised Co-Training of Depth, Odometry and Optical Flow Predictions WACV 2023 Latent Discriminant Deterministic Uncertainty ECCV 2022 Symmetry-Based Disentangled Representation Learning requires Interaction with Environments NeurIPS 2019