Publications

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski

CVPR, 2025

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Permalink

Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc

ICLR, 2025

Tailoring Mixup to Data for Calibration

Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc

ICLR, 2025

Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks

Quentin Bouniot

PhD Thesis, 2023

Proposal-Contrastive Pretraining for Object Detection from Fewer Data

Quentin Bouniot, Romaric Audigier, Angelique Loesch, Amaury Habrard

ICLR, 2023

Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?

Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard

WACV, 2023

Improving Few-Shot Learning through Multi-task Representation Learning Theory

Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard

ECCV, 2022

Optimal Transport as a Defense Against Adversarial Attacks

Quentin Bouniot, Romaric Audigier, Angélique Loesch

ICPR, 2021

Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks.

Quentin Bouniot, Romaric Audigier, Angélique Loesch

CVPRW, 2020