Angélique Loesch

17 papers A* 1A 2B 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow. WACV Rémi Marsal, Florian Chabot, Angélique Loesch, Hichem Sahbi
2023	A*	`conf`	Proposal-Contrastive Pretraining for Object Detection from Fewer Data. ICLR Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard
2023	J	`jnl`	Proposal-Contrastive Pretraining for Object Detection from Fewer Data. CoRR Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard
2023	J	`jnl`	Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ? CoRR Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard
2023	A	`conf`	Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient? WACV Quentin Bouniot, Angélique Loesch, Amaury Habrard, Romaric Audigier
2022	J	`jnl`	A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. Comput. Vis. Image Underst. Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu
2022	—	`conf`	Improving Few-Shot Learning Through Multi-task Representation Learning Theory. ECCV (20) Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
2022	B	`conf`	Object-Centric and Memory-Guided Normality Reconstruction for Video Anomaly Detection. ICIP Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier
2022	J	`jnl`	Object-centric and memory-guided normality reconstruction for video anomaly detection. CoRR Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier
2022	B	`conf`	Spatio-temporal predictive tasks for abnormal event detection in videos. AVSS Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier
2022	J	`jnl`	Spatio-temporal predictive tasks for abnormal event detection in videos. CoRR Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier
2021	J	`jnl`	A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. CoRR Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu
2021	J	`jnl`	Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters. IEEE Access Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
2021	J	`jnl`	Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters. CoRR Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu
2021	J	`jnl`	Optimal Transport as a Defense Against Adversarial Attacks. CoRR Quentin Bouniot, Romaric Audigier, Angélique Loesch
2020	J	`jnl`	Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms. CoRR Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard
2020	—	`conf`	Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. CVPR Workshops Quentin Bouniot, Romaric Audigier, Angélique Loesch