Antoine Manzanera

4 papers · 2023–2025 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

WACV (2) CVPR (1) ICLR (1)

Top co-authors

David Filliat (3) Marwane Hariat (3) Gianni Franchi (2) Nacim Belkhir (2) Xuanlong Yu (1) Mouïn Ben Ammar (1) Sebastian Popescu (1)

Research topics

Machine Learning (4) Computer Vision (3) Deep Learning (3) Analysis (3) Learning Types · Machine Learning (3) Learning Types · Deep Learning (2) Artificial Intelligence (1) Architectures (1) Core AI (1) Core Methods (1) Domain-Specific (1)

Keywords

depth estimation (2) depth prediction (2) self-supervised learning (2) motion estimation (1) autonomous driving (1) monocular depth estimation (1) optical flow (1) multimodal dataset (1) neural collapse (1) out-of-distribution detection (1) motion prediction (1) ego-motion estimation (1) infrared imaging (1) geometric properties (1) odometry estimation (1) distance transform (1) semantic segmentation (1) odometry prediction (1) principal component analysis (1) object detection (1)

Papers

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 NECO: NEural Collapse Based Out-of-distribution detection ICLR 2024 Rebalancing Gradient To Improve Self-Supervised Co-Training of Depth, Odometry and Optical Flow Predictions WACV 2023