Published in PhD Thesis, 2023
Recommended citation: "Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks" Quentin Bouniot (2023). PhD Thesis.
Published in ICLR, 2023
Recommended citation: "Proposal-Contrastive Pretraining for Object Detection from Fewer Data" Quentin Bouniot,Romaric Audigier, Angelique Loesch, Amaury Habrard; The Eleventh International Conference on Learning Representations, 2023
Published in WACV, 2023
Recommended citation: "Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?" Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 75-84
Published in ECCV, 2022
Recommended citation: "Improving Few-Shot Learning through Multi-task Representation Learning Theory" Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard. Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XX. Cham: Springer Nature Switzerland, 2022.
Published in ICLR Blog Track, 2022
Recommended citation: "Understanding Few-Shot Multi-Task Representation Learning Theory" Quentin Bouniot & Ievgen Redko, ICLR Blog Track, 2022
Published in ICPR, 2021
Recommended citation: "Optimal Transport as a Defense Against Adversarial Attacks." Quentin Bouniot, Romaric Audigier, Angélique Loesch (2021). IEEE International Conference on Pattern Recognition (ICPR) 2020.
Published in CVPRW, 2020
Recommended citation: "Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks." Quentin Bouniot, Romaric Audigier, Angélique Loesch (2020). IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.