Romaric Audigier

55 papers A* 1A 2B 12Journal 26Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Adversarial Robustness and Adversarial Training Strategies for Object Detection. CoRR Alexis Winter, Jean-Vincent Martini, Romaric Audigier, Angelique Loesch, Bertrand Luvison
2026	J	`jnl`	TILES: Transformer-Based Incremental Learning for Expanding Segmenter. IEEE Access Hejer Ammar, Saad Lahlali, Romaric Audigier
2025	J	`jnl`	CaMiT: A Time-Aware Car Model Dataset for Classification and Generation. CoRR Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu, Hejer Ammar, Romaric Audigier, Hervé Le Borgne
2025	J	`jnl`	WarNav: An Autonomous Driving Benchmark for Segmentation of Navigable Zones in War Scenes. CoRR Marc-Emmanuel Coupvent des Graviers, Hejer Ammar, Christophe Guettier, Yann Dumortier, Romaric Audigier
2024	—	`conf`	Early Feature Distributions Alignment in Visible-to-Thermal Unsupervised Domain Adaptation for Object Detection. ICPR (17) Adrien Maglo, Romaric Audigier
2024	J	`jnl`	Masked multi-prediction for multi-aspect anomaly detection. Trans. Mach. Learn. Res. Yassine Naji, Romaric Audigier, Aleksandr Setkov, Angelique Loesch, Michèle Gouiffès
2024	—	`conf`	Open-Set Object Detection: Towards Unified Problem Formulation and Benchmarking. ECCV Workshops (18) Hejer Ammar, Nikita Kiselov, Guillaume Lapouge, Romaric Audigier
2024	J	`jnl`	Open-set object detection: towards unified problem formulation and benchmarking. CoRR Hejer Ammar, Nikita Kiselov, Guillaume Lapouge, Romaric Audigier
2023	B	`conf`	Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels? ICIP Hejer Ammar, Angelique Loesch, Corentin Vannier, Romaric Audigier
2023	B	`conf`	Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning. ICIP Nikolaos Karaliolios, Florian Chabot, Camille Dupont, Hervé Le Borgne, Quoc Cuong Pham, Romaric Audigier
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	J	`jnl`	Describe me if you can! Characterized Instance-level Human Parsing. CoRR Angelique Loesch, Romaric Audigier
2022	J	`jnl`	Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO. CoRR Astrid Orcesi, Romaric Audigier, Fritz Poka Toukam, Bertrand Luvison
2022	J	`jnl`	End-to-end Person Search Sequentially Trained on Aggregated Dataset. CoRR Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier
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	B	`conf`	Describe Me If You Can! Characterized Instance-Level Human Parsing. ICIP Angelique Loesch, Romaric Audigier
2021	B	`conf`	Detecting Human-to-Human-or-Object (H FG Astrid Orcesi, Romaric Audigier, Fritz Poka Toukam, Bertrand Luvison
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	A	`conf`	Classifying All Interacting Pairs in a Single Shot. WACV Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison
2020	J	`jnl`	Classifying All Interacting Pairs in a Single Shot. CoRR Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison
2020	B	`conf`	Optimal Transport as a Defense Against Adversarial Attacks. ICPR Quentin Bouniot, Romaric Audigier, Angelique Loesch
2020	—	`conf`	PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization. ICPR Workshops (4) Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier
2020	J	`jnl`	PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization. CoRR Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier
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	B	`conf`	Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. ICPR Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu
2020	J	`jnl`	Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. CoRR Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu
2020	—	`conf`	Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. CVPR Workshops Quentin Bouniot, Romaric Audigier, Angélique Loesch
2019	B	`conf`	End-To-End Person Search Sequentially Trained On Aggregated Dataset. ICIP Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier
2016	—	`conf`	Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking. ECCV (8) Loïc Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle
2016	J	`jnl`	RIMOC, a feature to discriminate unstructured motions: Application to violence detection for video-surveillance. Comput. Vis. Image Underst. Pedro Canotilho Ribeiro, Romaric Audigier, Quoc Cuong Pham
2015	B	`conf`	Collaboration and spatialization for an efficient multi-person tracking via sparse representations. AVSS Loic Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle
2015	—	`conf`	Collaborative Tracking and Distributed Control for an IP-PTZ Camera Network. ICPRAM (2) Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham
2015	B	`conf`	Online multi-person tracking based on global sparse collaborative representations. ICIP Loic Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle
2014	—	`conf`	Perception-prediction-control Architecture for IP Pan-Tilt-Zoom Camera through Interacting Multiple Models. VISAPP (3) Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham
2013	B	`conf`	IMM-Based Tracking and Latency Control with Off-the-Shelf IP PTZ Camera. ACIVS Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham
2010	J	`jnl`	Relationships between some watershed definitions and their tie-zone transforms. Image Vis. Comput. Romaric Audigier, Roberto de Alencar Lotufo
2007	—	`conf`	Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches. SIBGRAPI Romaric Audigier, Roberto A. Lotufo
2007	J	`jnl`	Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency. J. Math. Imaging Vis. Romaric Audigier, Roberto A. Lotufo
2007	—	`conf`	Watershed by image foresting transform, tie-zone, and theoretical relationships with other watershed definitions. ISMM (1) Romaric Audigier, Roberto de Alencar Lotufo
2006	J	`jnl`	3D visualization to assist iterative object definition from medical images. Comput. Medical Imaging Graph. Romaric Audigier, Roberto A. Lotufo, Alexandre X. Falcão
2006	—	`conf`	Duality between the Watershed by Image Foresting Transform and the Fuzzy Connectedness Segmentation Approaches. SIBGRAPI Romaric Audigier, Roberto A. Lotufo
2005	—	`conf`	The tie-zone watershed: definition, algorithm and applications. ICIP (2) Romaric Audigier, Roberto A. Lotufo, Michel Couprie
2005	—	`conf`	Tie-Zone Watershed, Bottlenecks, and Segmentation Robustness Analysis. SIBGRAPI Romaric Audigier, Roberto de Alencar Lotufo
2004	—	`conf`	On Integrating Iterative Segmentation by Watershed with Tridimensional Visualization of MRIs. SIBGRAPI Romaric Audigier, Roberto A. Lotufo, Alexandre X. Falcão