Risultati finali
Result of T14 Report the user feedback obtained on the intermediate experiments on both realistic and relevant environments
Initial Advisory Board recommendationsDocument reporting the recommendations of the Advisory Board after its first meeting
Intermediate Advisory Board recommendationsDocument reporting the recommendations of the Advisory Board after its second meeting
Specifications of the generator of situated interactionsInitial report of T62 Generation of Multiparty Situated Interactions In this report we will provide the specifications for the generator of interactive data
Mid-point report on organised scientific events and future plansWe will summarize the dissemination and communication actions taken in scientific events and describe the plan for the rest of the project duration
User feedback from the preliminary validation (realistic environments)Result of T13 Report the user feedback from the various experiments ran on realistic environments laboratory
Dissemination and communication strategyReport the communication plan and plan the various actions to be taken to promote the project as well as its results in the targeted sectors
Privacy and Ethics guidelines for experimental validation and data collectionThe deliverable will contain SPRING necessary documents for handling Ethics and Privacy issues For instance approval of the local Ethical committees and GDRP compliance report of all experimental validation and data collection in the project
Result of T41 Fully functional framework for human face and body analysis from visual data It includes tools for multitarget body pose estimation and face analysis tested in relevant environments The framework incorporate information from audiobased speaker recognition
Robot non-verbal behaviour system in target environmentsWill deliver the final software design and implementation of the robot non-verbal behaviour manager for the target environment. This includes the interface between the non-verbal behaviour manager, the task planner, and the conversational system.
Multi-party conversational system in target environmentsWill deliver the final software components for multi-party interaction including the conversational system, NLU, dialogue management, and NLG geared towards dealing with realistic scenarios (T5.3).
Audio-visual speaker separation/tracking with a static robotResults of T3.2. and T3.3 A software package incorporating video localization information to assist the audio diarisation and separation tasks for the use of the robot’s dialogue system in both static and dynamic scenarios.
Audio speaker diarisation and extraction with a moving robotResult of T3.3. A software package, implemented for moving robot that accounts for the dynamics of the acoustic scenario, to disarise and extract the desired speaker.
Semantics-based localisation in realistic environmentsResearch results and implementation of building a geometric and semantic maps for visual localization developed in T21
Neural network architecture specification and designThis deliverable will provide the software basis for the development of the neural architectures used in the project. After an initial phase of collecting requirements for these networks, we will provide some basis architectures from which partners can build their systems.
Software for generating multi-party situated interactionsResult of T62 This deliverable will present the software for generating multiparty situated interactions
Human description in realistic environmentsResult of T41 Research results and implementation of multitarget body pose and state estimation based on deep and transfer learning and domain adaptation techniques
Robot non-verbal behaviour system in realistic environmentsWill deliver the initial software design and implementation of the robot nonverbal behaviour manager for a realistic environment This includes the interface between the nonverbal behaviour manager the task planner and the conversational system
Initial software architecture for SPRING-REEMThis Deliverable contains the initial SW architecture (modules and applications integration), after the preliminary Software Integration Cycle.
Visual-based localisation in realistic environmentsResult of T21 Research results of visual localization of a robot in realistic indoor environments based on viewpoint visual similarity and via geometric matching and careful camera pose verification using camera pose computation in 3D or similar weaker geometrical verification techniques interaction with the lowlevel robot behaviour and robots odometry
Semantics-based localisation in relevant environmentsWill deliver software with a Natural Language vocabulary (categories) for object recognition that interfaces with the high-level task scheduler for semantic scene understanding (T2.3) and builds towards interfacing the Interaction Manager to incorporate object affordances (T2.4).
Mature software architecture for SPRING-REEMThis Deliverable contains the mature SW architecture (modules and applications integration), after the Intermediate Software Integration Cycle.
Visual-based localisation in relevant environmentsResult of T24 Implementation of visual localization of a robot in realistic indoor environments based on viewpoint visual similarity and via geometric matching and careful camera pose verification using camera pose computation in 3D or similar weaker geometrical verification techniques interaction with the lowlevel robot behaviour and robots odometry
Learning scene representations in realistic environmentsResult of T24 It includes a first prototype implementation of tools for modeling scenes eg objects affordances people behaviors in order to support the semantic localization module from 21
Audio-visual speaker tracking in realistic environmentsMidway result of T31 AudioVisual Speaker Detection and Tracking This deliverable will present the software to detect and track speakers in realistic environments
Audio-visual speaker tracking in relevant environmentsEndway result of T31 AudioVisual Speaker Detection and Tracking This deliverable will present the software to detect and track speakers in relevant environments
High-Level task planner in relevant environmentsSoftware package interleaving the robot application (direct interaction with users) and the low level modules in relevant environments.
Audio-visual data simulatorResult of task T22 AudioVisual data simulator A synthetic data simulator will be developed in order able to generate realistic auditory and visual data This simulator will build upon the interactive data collected in T12
Multi-modal behaviour recognition in realistic environmentsResult of T42 First prototype implementation of tools for single target behaviour recognition and for grouplevel behaviour analysis integrating information about face and body motions derived from audiovisual data T41 objects in the scene T23 and proxemics features
Multi-modal behaviour recognition in relevant environmentsResult of T4.2. Fully functional human behaviour recognition framework including advanced components for individual- and group-level analysis validated in relevant environment.
Learning scene representations in relevant environments"""Result of T2.3. Implementation of learning a scene representation for facilitation localization of a robot in realistic indoor environments."
Initial high-level task planner and conversational system prototype for realistic environments.Will deliver software serving as the initial conversational system and highlevel task planner prototype for realistic environments T51
Audio speaker diarisation and extraction with a static robotResult of T3.2. A software package, implemented for static robot, for audio speaker diarisation and extraction.
Multi-party ASR and conversational system in realistic environmentsResult of T53 A software package for multiparty ASR and conversational system in realistic environments using preliminary speaker separation algorithm
Final neural network architecturesResult of T6.1. This deliverable will present the software of the final neural architectures used in SPRING.
Result of T81 We will present the various actions taken aiming to ensure the online presence of SPRING basis for the dissemination and communication of the associated results
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Editore:
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Editore:
IEEE
Autori:
Bracha Laufer-Goldshtein; Ronen Talmon; Sharon Gannot
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Editore:
Springer
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Editore:
Kluwer Academic Publishers
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10.48550/arxiv.2206.03211
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SIAM Journal on Applied Algebra and Geometry, 2022, ISSN 2470-6566
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IEEE Transactions on Affective Computing, 2021, ISSN 1949-3045
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Institute of Electrical and Electronics Engineers
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10.48550/arxiv.2103.05916
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10.48550/arxiv.2110.15701
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, ISSN 0162-8828
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NeurIPS2023, Numero 1, 2024
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Raquel Ros, Séverin Lemaignan, Lorenzo Ferrini, Antonio Andriella, Aina Irisarri
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2020
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ECCV 2022, 2022
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10.48550/arxiv.2112.01422
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HRI 2023, 2023
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2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2021
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10.48550/arxiv.2108.07520
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Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe
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IEEE
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2023
Editore:
CVF
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10.48550/arxiv.2306.07483
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Kukelova, Zuzana; Albl, Cenek; Sugimoto, Akihiro; Schindler, Konrad; Pajdla, Tomas
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R. Opochinsky, G. Chechik and S. Gannot
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Evgeniy Martyushev, Jana Vrablikova, Tomas Pajdla
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2022
Editore:
CVF
DOI:
10.48550/arxiv.2203.14901
Autori:
Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomas Pajdla
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Numero 2020, 2020, Pagina/e 5991-6000
Editore:
IEEE
Autori:
Y. Laufer and S. Gannot
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2020 28th European Signal Processing Conference (EUSIPCO), Numero 2020, 2021, Pagina/e 276-280
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IEEE
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Chazan, Shlomo E.; Goldberger, Jacob; Gannot, Sharon
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ICASSP, Numero 2021, 2021
Editore:
ICASSP
Autori:
Aviad Eisenberg; Sharon Gannot; Shlomo E. Chazan
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2022 30th European Signal Processing Conference (EUSIPCO), 2022
Editore:
IEEE
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10.23919/eusipco55093.2022.9909545
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Yuyang Zhao; Zhun Zhong; Nicu Sebe; Gim Hee Lee
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CVPR 2022, 2022
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Computer Vision Foundation
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10.5281/zenodo.7100314
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Riccardo Franceschini, Enrico Fini, Cigdem Beyan, Alessandro Conti, Federica Arrigoni, Elisa Ricci
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ICPR 2022, 2022
Editore:
IEEE
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10.1109/icpr56361.2022.9956589
Autori:
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar
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ICASSP 2022, 2022
Editore:
IEEE
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10.1109/icassp43922.2022.9746401
Autori:
Sara Cooper; Alessandro Di Fava; Carlos Vivas; Luca Marchionni; Francesco Ferro
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2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2020
Editore:
IEEE
DOI:
10.1109/ro-man47096.2020.9223470
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A. Eisenberg, B. Schwartz and S. Gannot
Pubblicato in:
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), Numero 2020, 2020, Pagina/e 1-6
Editore:
IEEE
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10.1109/mlsp49062.2020.9231931
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Nancie Gunson; Weronika Sieinska; Christopher Walsh; Christian Dondrup; Oliver Lemon
Pubblicato in:
IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, Numero 2020, 2020
Editore:
Association for Computing Machinery
DOI:
10.1145/3383652.3423889
Autori:
Aviad Eisenberg, Boaz Schwartz and Sharon Gannot
Pubblicato in:
INTERSPEECH 2021, 2021
Editore:
ISCA
DOI:
10.21437/interspeech.2021-662
Autori:
Nancie Gunson, Daniel Hernandez Garcia, Weronika Sieińska, Angus Addlesee, Christian Dondrup, Oliver Lemon, Jose L. Part, Yanchao Yu
Pubblicato in:
SIGdial 2022, 2022
Editore:
ACL
Autori:
Yochai Yemini, Ethan Fetaya, Haggai Maron, Sharon Gannot
Pubblicato in:
INTERSPEECH 2021, Numero 2021, 2021
Editore:
ISCA
DOI:
10.21437/interspeech.2021-889
Autori:
Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci
Pubblicato in:
ECCV 2022, 2022
Editore:
ECVA
DOI:
10.48550/arxiv.2207.08605
Autori:
García, Daniel Hernández; Yu, Yanchao; Sieińska, Weronika; Part, Jose L.; Gunson, Nancie; Lemon, Oliver; Dondrup, Christian
Pubblicato in:
AAAI FSS-20 AI-HRI, 2020
Editore:
Association for the Advancement of Artificial Intelligence
Autori:
Francesco Tonini; Cigdem Beyan; Elisa Ricci
Pubblicato in:
ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction, 2022
Editore:
ACM
DOI:
10.48550/arxiv.2208.10822
Autori:
Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci
Pubblicato in:
ICPR 2022, 2022
Editore:
IEEE
DOI:
10.48550/arxiv.2207.12842
Autori:
Oren Shmaryahu; Sharon Gannot
Pubblicato in:
IWAENC 2022, 2022
Editore:
IEE
DOI:
10.1109/iwaenc53105.2022.9914749
Autori:
Yuyang Zhao; Zhun Zhong; Fengxiang Yang; Zhiming Luo; Yaojin Lin; Shaozi Li; Nicu Sebe
Pubblicato in:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
Editore:
CVF
DOI:
10.5281/zenodo.5014450
Autori:
Gunson, Nancie; Sieińska, Weronika; Walsh, Christopher; Dondrup, Christian; Lemon, Oliver
Pubblicato in:
isbn: 9781450375863, Numero 1, 2020
Editore:
Association for Computing Machinery
Autori:
Andrea Porfiri Dal Cin, Luca Magri, Federica Arrigoni, Andrea Fusiello, Giacomo Boracchi
Pubblicato in:
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Numero 2021, 2021, Pagina/e 6453-6463
Editore:
IEEE
Autori:
Zhiqi Kang; Mostafa Sadeghi; Radu Horaud; Xavier Alameda-Pineda; Jacob Donley; Anurag Kumar
Pubblicato in:
2022
Editore:
ICASSP
DOI:
10.48550/arxiv.2202.00538
Autori:
Barath, Daniel; Polic, Michal; Förstner, Wolfgang; Sattler, Torsten; Pajdla, Tomas; Kukelova, Zuzana
Pubblicato in:
European Conference on Computer Vision, Numero 2020, 2020, Pagina/e 723-740
Editore:
Springer
DOI:
10.1007/978-3-030-58621-8_42
Autori:
Yue Song, Nicu Sebe, Wei Wang
Pubblicato in:
ICLR 2022, 2023
Editore:
OpenReview
DOI:
10.48550/arxiv.2201.08663
Autori:
Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas
Pubblicato in:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Numero 2021, 2021, Pagina/e 7108-7118
Editore:
IEEE
Autori:
Bie, Xiaoyu; Girin, Laurent; Leglaive, Simon; Hueber, Thomas; Alameda-Pineda, Xavier
Pubblicato in:
Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.1-5, Numero 2021, 2021, Pagina/e 46-50
Editore:
International Speech Communication Association (ISCA)
DOI:
10.21437/interspeech.2021-256
Autori:
Federica Arrigoni, Luca Magri, and Tomas Pajdla
Pubblicato in:
2020 25th International Conference on Pattern Recognition (ICPR), Numero 2020, 2020
Editore:
IEEE
DOI:
10.1109/icpr48806.2021.9413142
Autori:
Federica Arrigoni, Luca Magri, Tomas Pajdla
Pubblicato in:
ECCV’20 Online, 2020
Editore:
European Computer Vision Association (ECVA)
Autori:
Guy, Sylvain; Lathuilière, Stéphane; Mesejo, Pablo; Horaud, Radu
Pubblicato in:
ICPR 2020 - 25th International Conference on Pattern Recognition, Jan 2021, Milano / Virtual, Italy, Numero 2020, 2021, Pagina/e 4851-4856
Editore:
IEEE
DOI:
10.1109/icpr48806.2021.9412884
Autori:
Weronika Sieinska, Nancie Gunson, Christopher Walsh, Christian Dondrup, and Oliver Lemon
Pubblicato in:
Proceedings of the SIGdial 2020 Conference, Numero 2020, 2020, Pagina/e 45-48
Editore:
Association for Computational Linguistics
Autori:
Yue Song; Nicu Sebe; Wei Wang
Pubblicato in:
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Editore:
CVF
DOI:
10.48550/arxiv.2105.02498
Autori:
Xiaoyu Lin; Xiaoyu Bie; Simon Leglaive; Laurent Girin; Xavier Alameda-Pineda
Pubblicato in:
ICASSP 2023 - IEEE International Conference on Audio, Speech and Signal Processing, 2023
Editore:
IEEE
DOI:
10.48550/arxiv.2303.09404
Autori:
Guillaume Delorme, Yutong Ban, Guillaume Sarrazin, Xavier Alameda-Pineda
Pubblicato in:
ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges, 2021
Editore:
Springer
DOI:
10.1007/978-3-030-68780-9_60
Autori:
Albl, Cenek; Kukelova, Zuzana; Larsson, Viktor; Pajdla, Tomas; Schindler, Konrad
Pubblicato in:
CVPR, Numero 2020, 2020
Editore:
IEEE
Autori:
A. Sofer, T. Kounovský, J. Čmejla, Z. Koldovský and S. Gannot
Pubblicato in:
2021 29th European Signal Processing Conference (EUSIPCO), Numero 2021, 2021, Pagina/e 401-405
Editore:
IEEE
DOI:
10.23919/eusipco54536.2021.9616175
Autori:
Subhankar Roy; Evgeny Krivosheev; Zhun Zhong; Nicu Sebe; Elisa Ricci
Pubblicato in:
CVPR 2021, 2021, ISBN 978-1-6654-4509-2
Editore:
Computer Vision Foundation
DOI:
10.5281/zenodo.5014029
Autori:
Guanglei Yang; Hao Tang; Mingli Ding; Nicu Sebe; Elisa Ricci
Pubblicato in:
2021 IEEE/CVF International Conference on Computer Vision (ICCV), Numero 6, 2021
Editore:
CVF
DOI:
10.1109/iccv48922.2021.01596
Autori:
Francesco Ferro, Federico Nardi, Sara Cooper, Luca Marchionni
Pubblicato in:
29th IEEE International Conference on Robot & Human Interactive Communication ROMAN-2020, 2020
Editore:
IEEE
Autori:
Y. Hu, T. D. Abhayapala, P. N. Samarasinghe and S. Gannot
Pubblicato in:
2020 28th European Signal Processing Conference (EUSIPCO), Numero 2020, 2021, Pagina/e 246-250
Editore:
IEEE
DOI:
10.23919/eusipco47968.2020.9287611
Autori:
Nancie Gunson; Weronika Sieińska; Yanchao Yu; Daniel Hernandez Garcia; Jose L. Part; Christian Dondrup; Oliver Lemon
Pubblicato in:
GoodIT '21: Proceedings of the Conference on Information Technology for Social Good, Numero 2021, 2021, Pagina/e 265-270
Editore:
Association for Computing Machinery
DOI:
10.1145/3462203.3475874
Autori:
Jose L. Part; Daniel Hernández García; Yanchao Yu; Nancie Gunson; Christian Dondrup; Oliver Lemon
Pubblicato in:
HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, Numero 2021, 2021, Pagina/e 670-672 (video submission)
Editore:
IEEE
DOI:
10.1145/3434074.3447278
Autori:
Yahui Liu; Sangineto, Enver; Yajing Chen; Linchao Bao; Haoxian Zhang; Sebe, Nicu; Lepri, Bruno; Wang, Wei; De Nadai, Marco
Pubblicato in:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Numero 2021, 2021
Editore:
IEEE
DOI:
10.5281/zenodo.5014014
Autori:
Martina Dubenova, Anna Zderadickova, Ondrej Kafka, Tomas Pajdla, Michal Polic
Pubblicato in:
Lecture Notes in Computer Science book series (LNCS,volume 13485), 2022
Editore:
Springer
DOI:
10.1007/978-3-031-16788-1_16
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