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Romaric Audigier
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2020 – today
- 2024
- [j7]Yassine Naji, Romaric Audigier, Aleksandr Setkov, Angelique Loesch, Michèle Gouiffès:
Masked multi-prediction for multi-aspect anomaly detection. Trans. Mach. Learn. Res. 2024 (2024) - [c28]Adrien Maglo, Romaric Audigier:
Early Feature Distributions Alignment in Visible-to-Thermal Unsupervised Domain Adaptation for Object Detection. ICPR (17) 2024: 109-124 - 2023
- [c27]Nikolaos Karaliolios, Florian Chabot, Camille Dupont, Hervé Le Borgne, Quoc Cuong Pham, Romaric Audigier:
Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning. ICIP 2023: 525-529 - [c26]Hejer Ammar, Angelique Loesch, Corentin Vannier, Romaric Audigier:
Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels? ICIP 2023: 1725-1729 - [c25]Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Proposal-Contrastive Pretraining for Object Detection from Fewer Data. ICLR 2023 - [c24]Quentin Bouniot, Angélique Loesch, Amaury Habrard, Romaric Audigier:
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient? WACV 2023: 75-84 - [i14]Quentin Bouniot, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Proposal-Contrastive Pretraining for Object Detection from Fewer Data. CoRR abs/2310.16835 (2023) - [i13]Quentin Bouniot, Angélique Loesch, Romaric Audigier, Amaury Habrard:
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ? CoRR abs/2310.19936 (2023) - 2022
- [j6]Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu:
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. Comput. Vis. Image Underst. 223: 103527 (2022) - [c23]Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Spatio-temporal predictive tasks for abnormal event detection in videos. AVSS 2022: 1-8 - [c22]Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Improving Few-Shot Learning Through Multi-task Representation Learning Theory. ECCV (20) 2022: 435-452 - [c21]Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Object-Centric and Memory-Guided Normality Reconstruction for Video Anomaly Detection. ICIP 2022: 2691-2695 - [i12]Astrid Orcesi, Romaric Audigier, Fritz Poka Toukam, Bertrand Luvison:
Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO. CoRR abs/2201.02396 (2022) - [i11]Angelique Loesch, Romaric Audigier:
Describe me if you can! Characterized Instance-level Human Parsing. CoRR abs/2201.09594 (2022) - [i10]Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier:
End-to-end Person Search Sequentially Trained on Aggregated Dataset. CoRR abs/2201.09604 (2022) - [i9]Khalil Bergaoui, Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Object-centric and memory-guided normality reconstruction for video anomaly detection. CoRR abs/2203.03677 (2022) - [i8]Yassine Naji, Aleksandr Setkov, Angélique Loesch, Michèle Gouiffès, Romaric Audigier:
Spatio-temporal predictive tasks for abnormal event detection in videos. CoRR abs/2210.15741 (2022) - 2021
- [j5]Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu:
Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters. IEEE Access 9: 149780-149795 (2021) - [c20]Astrid Orcesi, Romaric Audigier, Fritz Poka Toukam, Bertrand Luvison:
Detecting Human-to-Human-or-Object (H2O) Interactions with DIABOLO. FG 2021: 1-8 - [c19]Angelique Loesch, Romaric Audigier:
Describe Me If You Can! Characterized Instance-Level Human Parsing. ICIP 2021: 2528-2532 - [i7]Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Optimal Transport as a Defense Against Adversarial Attacks. CoRR abs/2102.03156 (2021) - [i6]Fabian Dubourvieux, Angélique Loesch, Romaric Audigier, Samia Ainouz, Stéphane Canu:
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters. CoRR abs/2110.07897 (2021) - [i5]Fabian Dubourvieux, Romaric Audigier, Angélique Loesch, Samia Ainouz, Stéphane Canu:
A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification. CoRR abs/2112.12887 (2021) - 2020
- [c18]Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Vulnerability of Person Re-Identification Models to Metric Adversarial Attacks. CVPR Workshops 2020: 3450-3459 - [c17]Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier:
PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization. ICPR Workshops (4) 2020: 475-489 - [c16]Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu:
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. ICPR 2020: 4957-4964 - [c15]Quentin Bouniot, Romaric Audigier, Angelique Loesch:
Optimal Transport as a Defense Against Adversarial Attacks. ICPR 2020: 5044-5051 - [c14]Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison:
Classifying All Interacting Pairs in a Single Shot. WACV 2020: 2881-2890 - [i4]Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison:
Classifying All Interacting Pairs in a Single Shot. CoRR abs/2001.04360 (2020) - [i3]Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, Samia Ainouz, Stéphane Canu:
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling. CoRR abs/2009.09445 (2020) - [i2]Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard:
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms. CoRR abs/2010.01992 (2020) - [i1]Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier:
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization. CoRR abs/2011.08785 (2020)
2010 – 2019
- 2019
- [c13]Angelique Loesch, Jaonary Rabarisoa, Romaric Audigier:
End-To-End Person Search Sequentially Trained On Aggregated Dataset. ICIP 2019: 4574-4578 - 2016
- [j4]Pedro Canotilho Ribeiro, Romaric Audigier, Quoc Cuong Pham:
RIMOC, a feature to discriminate unstructured motions: Application to violence detection for video-surveillance. Comput. Vis. Image Underst. 144: 121-143 (2016) - [c12]Loïc Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle:
Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking. ECCV (8) 2016: 774-790 - 2015
- [c11]Loic Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle:
Collaboration and spatialization for an efficient multi-person tracking via sparse representations. AVSS 2015: 1-6 - [c10]Loic Fagot-Bouquet, Romaric Audigier, Yoann Dhome, Frédéric Lerasle:
Online multi-person tracking based on global sparse collaborative representations. ICIP 2015: 2414-2418 - [c9]Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham:
Collaborative Tracking and Distributed Control for an IP-PTZ Camera Network. ICPRAM (2) 2015: 219-226 - 2014
- [c8]Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham:
Perception-prediction-control Architecture for IP Pan-Tilt-Zoom Camera through Interacting Multiple Models. VISAPP (3) 2014: 314-324 - 2013
- [c7]Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham:
IMM-Based Tracking and Latency Control with Off-the-Shelf IP PTZ Camera. ACIVS 2013: 564-575 - 2010
- [j3]Romaric Audigier, Roberto de Alencar Lotufo:
Relationships between some watershed definitions and their tie-zone transforms. Image Vis. Comput. 28(10): 1472-1482 (2010)
2000 – 2009
- 2007
- [j2]Romaric Audigier, Roberto A. Lotufo:
Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency. J. Math. Imaging Vis. 27(2): 157-173 (2007) - [c6]Romaric Audigier, Roberto de Alencar Lotufo:
Watershed by image foresting transform, tie-zone, and theoretical relationships with other watershed definitions. ISMM (1) 2007: 277-288 - [c5]Romaric Audigier, Roberto A. Lotufo:
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches. SIBGRAPI 2007: 61-70 - 2006
- [j1]Romaric Audigier, Roberto A. Lotufo, Alexandre X. Falcão:
3D visualization to assist iterative object definition from medical images. Comput. Medical Imaging Graph. 30(4): 217-230 (2006) - [c4]Romaric Audigier, Roberto A. Lotufo:
Duality between the Watershed by Image Foresting Transform and the Fuzzy Connectedness Segmentation Approaches. SIBGRAPI 2006: 53-60 - 2005
- [c3]Romaric Audigier, Roberto A. Lotufo, Michel Couprie:
The tie-zone watershed: definition, algorithm and applications. ICIP (2) 2005: 654-657 - [c2]Romaric Audigier, Roberto de Alencar Lotufo:
Tie-Zone Watershed, Bottlenecks, and Segmentation Robustness Analysis. SIBGRAPI 2005: 55-62 - 2004
- [c1]Romaric Audigier, Roberto A. Lotufo, Alexandre X. Falcão:
On Integrating Iterative Segmentation by Watershed with Tridimensional Visualization of MRIs. SIBGRAPI 2004: 130-137
Coauthor Index
aka: Angelique Loesch
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last updated on 2024-12-13 19:13 CET by the dblp team
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