Search Results - "ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION"

1

Conference

Unsupervised Motion Retargeting for Human-Robot Imitation

Authors: Annabi, Louis, Ma, Ziqi, Nguyen, Sao, Mai

Contributors: Flowing Epigenetic Robots and Systems (Flowers), Centre Inria de l'Université de Bordeaux, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Unité d'Informatique et d'Ingénierie des Systèmes (U2IS), École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris), Unité d'Informatique et d'Ingénierie des Systèmes (U2IS), Equipe Robot interaction, Ambient system, Machine learning, Behaviour, Optimization (Lab-STICC_RAMBO), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), Département Informatique (IMT Atlantique - INFO), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), AID Project ACoCaTherm., Institut Carnot

Source: HRI 2024 - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction ; https://hal.science/hal-04401885 ; HRI 2024 - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, Mar 2024, Boulder (CO), United States. ⟨10.1145/3568294.3580153⟩

Subject Terms: imitation, neural networks, motion retargeting, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Subject Geographic: Boulder (CO), United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2402.05115; ARXIV: 2402.05115

Availability: https://hal.science/hal-04401885
https://hal.science/hal-04401885v1/document
https://hal.science/hal-04401885v1/file/Annabi2024C2AICHI.pdf
https://doi.org/10.1145/3568294.3580153

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2

Academic Journal

Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning ; Oups, j'ai échantillonné avec remise : Réinterprétation des intervalles de confiance dans l'apprentissage parcimonieux

Authors: Lafargue, Raphael, Smith, Luke, Anthony, Vermet, Franck, Löwe, Mathias, Reid, Ian, Gripon, Vincent, Valmadre, Jack

Contributors: Equipe Better Representations for Artificial Intelligence (Lab_STICC_BRAIn), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), University of Adelaide, Département Mathematical and Electrical Engineering (IMT Atlantique - MEE), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), FrenCh austRalian labOratory for humanS/autonomouS agents teamING (CROSSING), University of South Australia Adelaide -University of Adelaide-Flinders University Adelaide, Australia -Centre National de la Recherche Scientifique (CNRS)-Naval Group, Laboratoire de Mathématiques de Bretagne Atlantique (LMBA), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Westfälische Wilhelms-Universität Münster = University of Münster = Université de Münster Münster, Allemagne (WWU), Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), CDSN PhD Stipend (paid to the PhD Student Raphael Lafargue through IMT Atlantique), This work was performed using HPC resources from GENCI–IDRIS (Grant 202123656B)., The PhD study of Luke Smith is supported by GSK-plc and the Australian Government Research TrainingProgram (RTP) scholarship., Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’sExcellence Strategy EXC 2044 –390685587, Mathematics Münster: Dynamics–Geometry–Structure., Région Bretagne, ANR-11-LABX-0020,LEBESGUE,Centre de Mathématiques Henri Lebesgue : fondements, interactions, applications et Formation(2011)

Source: ISSN: 2835-8856 ; Transactions on Machine Learning Research Journal.

Subject Terms: Few-shot Learning, Statistics, Confidence Intervals, 68T06, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2409.02850; ARXIV: 2409.02850

Availability: https://hal.science/hal-04702128
https://hal.science/hal-04702128v1/document
https://hal.science/hal-04702128v1/file/2678_Oops_I_Sampled_it_Again_R.pdf

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3

Conference

VidChapters-7M: Video Chapters at Scale

Authors: Yang, Antoine, Nagrani, Arsha, Laptev, Ivan, Sivic, Josef, Schmid, Cordelia

Contributors: Département d'informatique - ENS-PSL (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), Models of visual object recognition and scene understanding (WILLOW), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Visual Geometry Group (VGG), University of Oxford, Czech Institute of Informatics, Robotics and Cybernetics Prague (CIIRC), Czech Technical University in Prague (CTU), The work was funded by Antoine Yang's Google PhD fellowship, the French government under management of Agence Nationale de la Recherche as part of the "Investissements d'avenir" program, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), the Louis Vuitton ENS Chair on Artificial Intelligence, the European Regional Development Fund under project IMPACT (reg.\ no.\ CZ.02.1.01/0.0/0.0/15 003/0000468)., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019)

Source: NeurIPS 2023 - Conference on Neural Information Processing Systems - Track on Datasets and Benchmarks ; https://hal.science/hal-04217697 ; NeurIPS 2023 - Conference on Neural Information Processing Systems - Track on Datasets and Benchmarks, Dec 2023, New Orleans (LA), United States

Subject Terms: Data, Video Understanding, Video Chapter Generation, Video Chapter Grounding, Dense Video Captioning, Pretraining, Language Model, Zero-Shot Learning, Computer Vision, Vision and Language, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Subject Geographic: New Orleans (LA), United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2309.13952; ARXIV: 2309.13952

Availability: https://hal.science/hal-04217697
https://hal.science/hal-04217697v1/document
https://hal.science/hal-04217697v1/file/view.pdf

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4

Conference

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

Authors: Yang, Antoine, Nagrani, Arsha, Seo, Paul Hongsuck, Miech, Antoine, Pont-Tuset, Jordi, Laptev, Ivan, Sivic, Josef, Schmid, Cordelia

Contributors: Models of visual object recognition and scene understanding (WILLOW), Département d'informatique - ENS-PSL (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Google Research, DeepMind London, DeepMind Technologies, Czech Institute of Informatics, Robotics and Cybernetics Prague (CIIRC), Czech Technical University in Prague (CTU), The work was partially funded by a Google gift, the French government under management of Agence Nationale de la Recherche as part of the ”Investissements d’avenir” program, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), the Louis Vuitton ENS Chair on Artificial Intelligence, the European Regional Development Fund under project IMPACT (reg. no. CZ.02.1.01/0.0/0.0/15 003/0000468)., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019)

Source: CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition ; https://inria.hal.science/hal-04039246 ; CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2023, Vancouver, Canada

Subject Terms: Computer Vision, Video Understanding, Dense Video Captioning, Video Captioning, Video Paragraph Captioning, Pretraining, Language Model, Few-Shot Learning, Vision and Language, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Subject Geographic: Vancouver

Time: Vancouver, Canada

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2302.14115; ARXIV: 2302.14115

Availability: https://inria.hal.science/hal-04039246
https://inria.hal.science/hal-04039246v1/document
https://inria.hal.science/hal-04039246v1/file/vid2seq.pdf

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5

Conference

MultiMediate '23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

Authors: Müller, Philipp, Balazia, Michal, Baur, Tobias, Dietz, Michael, Heimerl, Alexander, Schiller, Dominik, Guermal, Mohammed, Thomas, Dominike, Bremond, Francois, F, Alexandersson, Jan, André, Elisabeth, Bulling, Andreas

Contributors: Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Spatio-Temporal Activity Recognition Systems (STARS), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Universität Augsburg Deutschland = University of Augsburg Germany = Université d'Augsbourg Allemagne (UNIA), University of Stuttgart = Universität Stuttgart, ACM, ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015)

Source: MM 2023 - The 31st ACM International Conference on Multimedia ; https://hal.science/hal-04330332 ; MM 2023 - The 31st ACM International Conference on Multimedia, ACM, Oct 2023, Ottawa, Canada. pp.9640-9645, ⟨10.1145/3581783.3613851⟩

Subject Terms: challenge, dataset, engagement, nonverbal behaviour, Computing methodologies, Artificial intelligence, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Subject Geographic: Ottawa

Time: Ottawa, Canada

Availability: https://hal.science/hal-04330332
https://hal.science/hal-04330332v1/document
https://hal.science/hal-04330332v1/file/2023_ACMMM.pdf
https://doi.org/10.1145/3581783.3613851

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6

Conference

Multimodal Vision Transformers with Forced Attention for Behavior Analysis

Authors: Agrawal, Tanay, Balazia, Michal, Müller, Philipp, Bremond, Francois, F

Contributors: Spatio-Temporal Activity Recognition Systems (STARS), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), IEEE/CVF

Source: WACV '23: IEEE International Winter Conference on Applications in Computer Vision ; https://hal.science/hal-03936484 ; WACV '23: IEEE International Winter Conference on Applications in Computer Vision, IEEE/CVF, Jan 2023, Waikoloa, United States. ⟨10.1109/WACV56688.2023.00339⟩

Subject Terms: miltimodal transformer, personality recognition, behavior detection, 68T05, 68T10, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Subject Geographic: Waikoloa, United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2212.03968; ARXIV: 2212.03968

Availability: https://hal.science/hal-03936484
https://hal.science/hal-03936484v1/document
https://hal.science/hal-03936484v1/file/WACV_2023__Multimodal_Vision_Transformers_with_Forced_Attention_for_Behavior_Analysis.pdf
https://doi.org/10.1109/WACV56688.2023.00339

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7

Report

Few and Fewer: Learning better from few examples using fewer base classes ; Moins et encore moins: Apprendre mieux avec peu d'exemples en utilisant moins de classes génériques.

Authors: Lafargue, Raphael, Bendou, Yassir, Pasdeloup, Bastien, Diguet, Jean-Philippe, Reid, Ian, Gripon, Vincent, Valmadre, Jack

Contributors: Equipe Better Representations for Artificial Intelligence (Lab_STICC_BRAIn), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), FrenCh austRalian labOratory for humanS/autonomouS agents teamING (CROSSING), University of South Australia Adelaide -University of Adelaide-Flinders University Adelaide, Australia -Centre National de la Recherche Scientifique (CNRS)-Naval Group, Département Mathematical and Electrical Engineering (IMT Atlantique - MEE), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), University of Adelaide, Aide de la Region Bretagne

Source: https://hal.science/hal-04737094 ; 2024.

Subject Terms: Data-centric, Transfer learning, Few shot learning, 68T, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2401.15834; ARXIV: 2401.15834

Availability: https://hal.science/hal-04737094
https://hal.science/hal-04737094v1/document
https://hal.science/hal-04737094v1/file/2401.15834v1.pdf

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8

Conference

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

Authors: Yang, Antoine, Miech, Antoine, Sivic, Josef, Laptev, Ivan, Schmid, Cordelia

Contributors: Models of visual object recognition and scene understanding (WILLOW), Département d'informatique - ENS-PSL (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), DeepMind London, DeepMind Technologies, Czech Institute of Informatics, Robotics and Cybernetics Prague (CIIRC), Czech Technical University in Prague (CTU), This work was granted access to the HPC resources of IDRIS under the allocation 2022-AD011011670R2 made by GENCI. The work was funded by a Google gift, the French government under management of Agence Nationale de la Recherche as part of the "Investissements d’avenir" program, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), the Louis Vuitton ENS Chair on Artificial Intelligence, the European Regional Development Fund under project IMPACT (reg. no. CZ.02.1.01/0.0/0.0/15 003/0000468)., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019)

Source: NeurIPS 2022 - 36th Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-03807016 ; NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States

Subject Terms: Video Understanding, Video Question Answering, Zero-Shot Learning, Computer Vision, Vision and Language, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.10: Vision and Scene Understanding, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Subject Geographic: New Orleans, United States

Availability: https://inria.hal.science/hal-03807016
https://inria.hal.science/hal-03807016v2/document
https://inria.hal.science/hal-03807016v2/file/cr.pdf

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9

Conference

Bodily Behaviors in Social Interaction: Novel Annotations and State-of-the-Art Evaluation

Authors: Balazia, Michal, Müller, Philipp, Tánczos, Ákos Levente, Liechtenstein, August Von, Brémond, François

Contributors: Spatio-Temporal Activity Recognition Systems (STARS), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI)

Source: MM'22: The 30th ACM International Conference on Multimedia ; https://hal.science/hal-03936267 ; MM'22: The 30th ACM International Conference on Multimedia, Oct 2022, Lisbon, Portugal. pp.70-79, ⟨10.1145/3503161.3548363⟩

Subject Terms: Social signals, Behavior detection, Gesture, Body pose, Dataset, 68T05, 68T10, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Subject Geographic: Lisbon, Portugal

Availability: https://hal.science/hal-03936267
https://hal.science/hal-03936267v2/document
https://hal.science/hal-03936267v2/file/acmmm-main.pdf
https://doi.org/10.1145/3503161.3548363

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10

Conference

Multimodal Personality Recognition using Cross-Attention Transformer and Behaviour Encoding

Authors: Agrawal, Tanay, Agarwal, Dhruv, Balazia, Michal, Sinha, Neelabh, Bremond, Francois, F

Contributors: Spatio-Temporal Activity Recognition Systems (STARS), Centre Inria d'Université Côte d'Azur, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), IAPR

Source: VISAPP '22: International Conference on Computer Vision Theory and Applications ; https://hal.science/hal-03519184 ; VISAPP '22: International Conference on Computer Vision Theory and Applications, IAPR, Feb 2022, virtual, United States. pp.501-508, ⟨10.5220/0010841400003124⟩

Subject Terms: personality recognition, feature engineering, multimodal data, multimodal transformer, 68T05, 68T10, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

Subject Geographic: virtual, United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2212.03968; ARXIV: 2212.03968

Availability: https://hal.science/hal-03519184
https://hal.science/hal-03519184v1/document
https://hal.science/hal-03519184v1/file/2021_VISAPP.pdf
https://doi.org/10.5220/0010841400003124

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11

Conference

Extracting Microseismic Ground Motion From Legacy Seismograms

Authors: de Plaen, Raphael S. M., Lecocq, Thomas, Lemenkova, Polina, Debeir, Olivier, Ardhuin, Fabrice, de Carlo, Marine

Contributors: Royal Observatory of Belgium Brussels (ROB), Université libre de Bruxelles (ULB), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), European Seismological Commission, Cristian Arion, Alexandra Scupin, Alexandru Ţigănescu

Source: 3rd EUROPEAN CONFERENCE ON EARTHQUAKE ENGINEERING & SEISMOLOGY
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES
https://hal.archives-ouvertes.fr/hal-03774028
Proceedings of the Third European Conference on Earthquake Engineering and Seismology - 3ECEES, European Seismological Commission, Sep 2022, Bucharest, Romania. pp.3507-3513, ⟨10.5281/zenodo.7064711⟩
https://3ecees.ro/

Subject Geographic: Bucharest, Romania

Relation: hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028; https://hal.archives-ouvertes.fr/hal-03774028/document; https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03774028
https://hal.archives-ouvertes.fr/hal-03774028/document
https://hal.archives-ouvertes.fr/hal-03774028/file/De_Plaen_et_al_Proc_3ECEES_2022.pdf
https://doi.org/10.5281/zenodo.7064711

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12

Book

La boîte translucide : un éclairage sur l'intelligence artificielle

Authors: Jourlin, Pierre

Contributors: Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI

Source: https://hal.science/hal-03222107 ; Editions universitaires d'Avignon, 2021, 978-2-35768-127-9 ; https://eua.hypotheses.org/5167.

Availability: https://hal.science/hal-03222107
https://hal.science/hal-03222107v1/document
https://hal.science/hal-03222107v1/file/La%20boite%20translucide%20HAL.pdf

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13

Report

Pooling properties within the Graph Neural network framework ; Propriétés du Pooling dans les réseaux de neurones sur graphes.

Authors: Brun, Luc

Contributors: Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Image - Laboratoire GREYC - UMR6072, ANR-21-CE23-0025,CoDeGNN,Convolution et Decimation pour les réseaux de neurones sur graphes(2021)

Source: https://hal.science/hal-04379337 ; Image - Laboratoire GREYC - UMR6072. 2023.

Subject Terms: Graph Pooling, GNN - Graph Neural Networks, Over-squashing, Over-smoothing, JEL: C - Mathematical and Quantitative Methods, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Availability: https://hal.science/hal-04379337
https://hal.science/hal-04379337v1/document
https://hal.science/hal-04379337v1/file/smoothing_squashing.pdf

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14

Academic Journal

R Libraries for Remote Sensing Data Classification by k-means Clustering and NDVI Computation in Congo River Basin, DRC

Authors: Lemenkova, Polina, Debeir, Olivier

Contributors: Ecole Polytechnique de Bruxelles, Université libre de Bruxelles (ULB)

Source: ISSN: 2076-3417.

Relation: hal-03894159; https://hal.science/hal-03894159; https://hal.science/hal-03894159/document; https://hal.science/hal-03894159/file/applsci-12-12554-v2.pdf

Availability: https://hal.science/hal-03894159
https://hal.science/hal-03894159/document
https://hal.science/hal-03894159/file/applsci-12-12554-v2.pdf
https://doi.org/10.3390/app122412554

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15

Academic Journal

Satellite Image Processing by Python and R Using Landsat 9 OLI/TIRS and SRTM DEM Data on Côte d'Ivoire, West Africa

Authors: Lemenkova, Polina, Debeir, Olivier

Contributors: Ecole Polytechnique de Bruxelles, Université libre de Bruxelles (ULB)

Source: ISSN: 2313-433X ; Journal of Imaging ; https://hal.archives-ouvertes.fr/hal-03869942 ; Journal of Imaging, 2022, 8 (12), pp.317. ⟨10.3390/jimaging8120317⟩ ; https://www.mdpi.com/2313-433X/8/12/317.

Relation: hal-03869942; https://hal.archives-ouvertes.fr/hal-03869942; https://hal.archives-ouvertes.fr/hal-03869942v2/document; https://hal.archives-ouvertes.fr/hal-03869942v2/file/jimaging-08-00317-v2.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03869942
https://hal.archives-ouvertes.fr/hal-03869942v2/document
https://hal.archives-ouvertes.fr/hal-03869942v2/file/jimaging-08-00317-v2.pdf
https://doi.org/10.3390/jimaging8120317

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16

Academic Journal

Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium

Authors: Lemenkova, Polina, Plaen, Raphaël, Lecocq, Thomas, Debeir, Olivier

Contributors: Ecole Polytechnique de Bruxelles, Université libre de Bruxelles (ULB), Royal Observatory of Belgium Brussels (ROB)

Source: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03909569 ; Sensors, 2022, 23 (1), pp.56. ⟨10.3390/s23010056⟩ ; https://www.mdpi.com/1424-8220/23/1/56.

Relation: hal-03909569; https://hal.archives-ouvertes.fr/hal-03909569; https://hal.archives-ouvertes.fr/hal-03909569/document; https://hal.archives-ouvertes.fr/hal-03909569/file/sensors-23-00056.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03909569
https://hal.archives-ouvertes.fr/hal-03909569/document
https://hal.archives-ouvertes.fr/hal-03909569/file/sensors-23-00056.pdf
https://doi.org/10.3390/s23010056

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17

Academic Journal

Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate

Authors: Lemenkova, Polina

Contributors: Université libre de Bruxelles (ULB)

Source: ISSN: 2220-9964 ; ISPRS International Journal of Geo-Information ; https://hal.archives-ouvertes.fr/hal-03765979 ; ISPRS International Journal of Geo-Information, MDPI, 2022, 11 (9), pp.473. ⟨10.3390/ijgi11090473⟩ ; https://www.mdpi.com/2220-9964/11/9/473.

Subject Terms: Botswana, cartography, climate, computer science, data science, drought, GMT, mapping, programming, Africa, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, [SDE]Environmental Sciences, [SDE.MCG]Environmental Sciences/Global Changes, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [INFO]Computer Science [cs], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Relation: hal-03765979; https://hal.archives-ouvertes.fr/hal-03765979; https://hal.archives-ouvertes.fr/hal-03765979/document; https://hal.archives-ouvertes.fr/hal-03765979/file/ijgi-11-00473.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03765979
https://hal.archives-ouvertes.fr/hal-03765979/document
https://hal.archives-ouvertes.fr/hal-03765979/file/ijgi-11-00473.pdf
https://doi.org/10.3390/ijgi11090473

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18

Academic Journal

Geophysical Mapping of Ghana Using Advanced Cartographic Tool GMT ; Geofizičko kartiranje Gane pomoću naprednog kartografskog alata GMT

Authors: Lemenkova, Polina

Contributors: Ecole Polytechnique de Bruxelles, Université libre de Bruxelles (ULB)

Source: ISSN: 1333-896X ; Kartografija i Geoinformacije ; https://hal.archives-ouvertes.fr/hal-03539625 ; Kartografija i Geoinformacije, Hrvatsko Kartografsko Drustvo, 2022, 20 (36), pp.16-37. ⟨10.32909/kg.20.36.2⟩ ; https://kig.kartografija.hr/index.php/kig/article/view/938.

Subject Terms: Ghana, Africa, geophysics, cartography, GMT, QGIS, ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, [INFO]Computer Science [cs], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [SDE]Environmental Sciences, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology

Relation: hal-03539625; https://hal.archives-ouvertes.fr/hal-03539625; https://hal.archives-ouvertes.fr/hal-03539625/document; https://hal.archives-ouvertes.fr/hal-03539625/file/938-2707-1-SM.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03539625
https://hal.archives-ouvertes.fr/hal-03539625/document
https://hal.archives-ouvertes.fr/hal-03539625/file/938-2707-1-SM.pdf
https://doi.org/10.32909/kg.20.36.2

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19

Academic Journal

Evaluating land cover types from Landsat TM using SAGA GIS for vegetation mapping based on ISODATA and K-means clustering

Authors: Lemenkova, Polina

Contributors: Ecole Polytechnique de Bruxelles, Université libre de Bruxelles (ULB)

Source: ISSN: 0354-9542 ; Acta Agriculturae Serbica ; https://hal.science/hal-03504862 ; Acta Agriculturae Serbica, 2021, 26 (56), pp.159-165. ⟨10.5937/AASer2152159L⟩ ; http://www.afc.kg.ac.rs/index.php/sr/acta/29-acta/acta/1236-vol-26-no-52-2021.

Relation: hal-03504862; https://hal.science/hal-03504862; https://hal.science/hal-03504862/document; https://hal.science/hal-03504862/file/9.%20AAS%20356-21%20Lemenkova.pdf

Availability: https://hal.science/hal-03504862
https://hal.science/hal-03504862/document
https://hal.science/hal-03504862/file/9.%20AAS%20356-21%20Lemenkova.pdf
https://doi.org/10.5937/AASer2152159L

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20

Academic Journal

Java and Sumatra Segments of the Sunda Trench: Geomorphology and Geophysical Settings Analysed and Visualized by GMT

Authors: Lemenkova, Polina

Contributors: Schmidt United Institute of Physics of the Earth Moscow (IPE), Russian Academy of Sciences Moscow (RAS)

Source: ISSN: 0350-3593 ; Glasnik Srpskog Geografskog Drustva ; https://hal.archives-ouvertes.fr/hal-03093633 ; Glasnik Srpskog Geografskog Drustva, 2021, 100 (2), pp.1-23. ⟨10.2298/GSGD2002001L⟩ ; http://glasniksgd.rs/index.php/home/article/view/723.

Relation: hal-03093633; https://hal.archives-ouvertes.fr/hal-03093633; https://hal.archives-ouvertes.fr/hal-03093633/document; https://hal.archives-ouvertes.fr/hal-03093633/file/723-1017-1-PB.pdf

Availability: https://hal.archives-ouvertes.fr/hal-03093633
https://hal.archives-ouvertes.fr/hal-03093633/document
https://hal.archives-ouvertes.fr/hal-03093633/file/723-1017-1-PB.pdf
https://doi.org/10.2298/GSGD2002001L

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