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ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
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In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022)
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University
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In: Lee, Hyowon orcid:0000-0003-4395-7702 , Scriney, Michael orcid:0000-0001-6813-2630 , Dey-Plissonneau, Aparajita and Smeaton, Alan orcid:0000-0003-1028-8389 (2021) Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University. In: Virtual Exchange in Higher Education: Charting the Irish Experience, 17 Sept 2021, Online vs MS Teams. (2021)
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Sign and Search: Sign Search Functionality for Sign Language Lexica ...
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Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text ...
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Recommending Themes for Ad Creative Design via Visual-Linguistic Representations ...
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Fuzzy Logic Based Integration of Web Contextual Linguistic Structures for Enriching Conceptual Visual Representations ...
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MusicTM-Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio ...
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Abstract:
This work present a music dataset named MusicTM-Dataset, which is utilized in improving the representation learning ability of different types of cross-modal retrieval (CMR). Little large music dataset including three modalities is available for learning representations for CMR. To collect a music dataset, we expand the original musical notation to synthesize audio and generated sheet-music image, and build musical notation based sheet-music image, audio clip and syllable-denotation text as fine-grained alignment, such that the MusicTM-Dataset can be exploited to receive shared representation for multimodal data points. The MusicTM-Dataset presents 3 kinds of modalities, which consists of the image of sheet-music, the text of lyrics and synthesized audio, their representations are extracted by some advanced models. In this paper, we introduce the background of music dataset and express the process of our data collection. Based on our dataset, we achieve some basic methods for CMR tasks. The MusicTM-Dataset ... : 12 pages, 5 figures, 2 tables ...
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Keyword:
Audio and Speech Processing eess.AS; Databases cs.DB; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Information Retrieval cs.IR; Multimedia cs.MM; Sound cs.SD
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URL: https://dx.doi.org/10.48550/arxiv.2012.00290 https://arxiv.org/abs/2012.00290
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Utilization of multimodal interaction signals for automatic summarisation of academic presentations
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Curtis, Keith. - : Dublin City University. School of Computing, 2018
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In: Curtis, Keith (2018) Utilization of multimodal interaction signals for automatic summarisation of academic presentations. PhD thesis, Dublin City University. (2018)
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Multimodal Machine Translation with Reinforcement Learning ...
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ImproteK: introducing scenarios into human-computer music improvisation
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In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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Multimodal Person Discovery in Broadcast TV: lessons learned from MediaEval 2015
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In: ISSN: 1380-7501 ; EISSN: 1573-7721 ; Multimedia Tools and Applications ; https://hal.archives-ouvertes.fr/hal-01690581 ; Multimedia Tools and Applications, Springer Verlag, 2017, 76 (21), pp.22547 - 22567. ⟨10.1007/s11042-017-4730-x⟩ (2017)
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Enabling Embodied Analogies in Intelligent Music Systems ...
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Narrative Smoothing: Dynamic Conversational Network for the Analysis of TV Series Plots
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In: DyNo: 2nd International Workshop on Dynamics in Networks, in conjunction with the 2016 IEEE/ACM International Conference ASONAM ; https://hal.archives-ouvertes.fr/hal-01276708 ; DyNo: 2nd International Workshop on Dynamics in Networks, in conjunction with the 2016 IEEE/ACM International Conference ASONAM, Aug 2016, San Francisco, United States. pp.1111-1118, ⟨10.1109/ASONAM.2016.7752379⟩ (2016)
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Hierarchical topic structuring: from dense segmentation to topically focused fragments via burst analysis
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In: Recent Advances on Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01186443 ; Recent Advances on Natural Language Processing, 2015, Hissar, Bulgaria (2015)
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Temporal re-scoring vs. temporal descriptors for semantic indexing of videos
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In: 13th International Workshop on Content-Based Multimedia Indexing (CBMI) ; https://hal.archives-ouvertes.fr/hal-01230719 ; 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2015, Prague, Czech Republic. pp.1-4, ⟨10.1109/CBMI.2015.7153626⟩ (2015)
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Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology ...
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Novel perspectives and approaches to video summarization
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Guan, Genliang. - : The University of Sydney, 2015. : Faculty of Engineering and Information Technologies, School of Information Technologies, 2015
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Planning Human-Computer Improvisation
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In: International Computer Music Conference ; https://hal.archives-ouvertes.fr/hal-01053834 ; International Computer Music Conference, Sep 2014, Athens, Greece ; http://icmc14-smc14.net (2014)
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