David Filliat
8 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🏃 Academic Marathon (6) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🔥
Unstoppable
(5)
Conferences
WACV (3)
AAAI (1)
CVPR (1)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
depth estimation
(2)
self-supervised learning
(2)
depth prediction
(2)
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)
multimodal distribution
(1)
disentangled representation
(1)
autonomous agent
(1)
environment interaction
(1)
deep ensemble
(1)
motion prediction
(1)
transformer ensemble
(1)
ego-motion estimation
(1)
Papers
Benchmarking XAI Explanations with Human-Aligned Evaluations
AAAI 2026
Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
CVPR 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
WACV 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
NIPS 2019