Romaric Audigier

4 papers · 2020–2023 · 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 🐣 Hot Topic Early Bird ❓ The Questioner 🚀 Conference Pioneer

Venues

WACV (2) ECCV (1) ICLR (1)

Top co-authors

Amaury Habrard (3) Quentin Bouniot (3) Angélique Loesch (3) Ievgen Redko (1) Sanaa Chafik (1) Astrid Orcesi (1) Bertrand Luvison (1)

Research topics

Machine Learning (3) Computer Vision (2) Analysis (2) Learning Types (2) Artificial Intelligence (1) Core Methods (1) Learning Paradigms (1)

Keywords

object detection (2) metric learning (1) semi-supervised learning (1) few-shot learning (1) unsupervised pretraining (1) human-object interaction (1) interaction detection (1) multi-task network (1) joint prediction (1) student-teacher architecture (1) object proposal (1) single-shot classification (1) contrastive learning (1) deformable detr (1)

Papers

Proposal-Contrastive Pretraining for Object Detection from Fewer Data ICLR 2023 Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient? WACV 2023 Improving Few-Shot Learning through Multi-task Representation Learning Theory ECCV 2022 Classifying All Interacting Pairs in a Single Shot WACV 2020