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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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Efficiency of Use of Internet Resources in Teaching a Foreign Language at Non-Linguistic Universities ...
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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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О РОЛИ ПРЕЗЕНТАЦИИ ПРИ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ В СФЕРЕ ПРОФЕССИОНАЛЬНОЙ КОММУНИКАЦИИ ... : THE ROLE OF PRESENTATION IN TEACHING A FOREIGN LANGUAGE IN THE FIELD OF PROFESSIONAL COMMUNICATION ...
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Sign Language Recognition System using TensorFlow Object Detection API ...
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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos ...
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Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training ...
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Chain-based Discriminative Autoencoders for Speech Recognition ...
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Multimedia Interventions for Neurodiversity: Leveraging Insights from Developmental Cognitive Neuroscience to Build an Innovative Practice
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In: Brain Sciences; Volume 12; Issue 2; Pages: 147 (2022)
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COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic
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In: Multimed Tools Appl (2022)
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FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks
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In: https://hal.inria.fr/hal-03462778 ; 2021 (2021)
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The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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Utilising visual attention cues for vehicle detection and tracking
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In: Hu, Feiyan orcid:0000-0001-7451-6438 , Gurram Munirathnam, Venkatesh orcid:0000-0002-4393-9267 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Little, Suzanne orcid:0000-0003-3281-3471 (2021) Utilising visual attention cues for vehicle detection and tracking. In: 25th International Conference on Pattern Recognition (ICPR2020), 10-15 Jan 2021, Milan, Italy (Online). (2021)
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Attention based video summaries of live online zoom classes
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In: Lee, Hyowon orcid:0000-0003-4395-7702 , Liu, Mingming orcid:0000-0002-8988-2104 , Riaz, Hamza, Rajasekaran, Navaneethan, Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) Attention based video summaries of live online zoom classes. In: AAAI-2021 Workshop on AI Education: "Imagining Post-COVID Education with AI" (TIPCE-2021)., 9 Feb 2021, Online (Vancouver, Canada). (In Press) (2021)
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Abstract:
This paper describes a system developed to help University students get more from their online lectures, tutorials, laboratory and other live sessions. We do this by logging their attention levels on their laptops during live Zoom sessions and providing them with personalised video summaries of those live sessions. Using facial attention analysis software we create personalised video summaries composed of just the parts where a student's attention was below some threshold. We can also factor in other criteria into video summary generation such as parts where the student was not paying attention while others in the class were, and parts of the video that other students have replayed extensively which a given student has not. Attention and usage based video summaries of live classes are a form of personalised content, they are educational video segments recommended to highlight important parts of live sessions, useful in both topic understanding and in exam preparation. The system also allows a Professor to review the aggregated attention levels of those in a class who attended a live session and logged their attention levels. This allows her to see which parts of the live activity students were paying most, and least, attention to. The Help-Me-Watch system is deployed and in use at our University in a way that protects student's personal data, operating in a GDPR-compliant way.
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Keyword:
Artificial intelligence; Educational analytics; Educational technology; Multimedia systems; video summarisation
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URL: http://doras.dcu.ie/25395/
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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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Leveraging lyrics from audio for MIR ; Exploiter les paroles de chansons à partir de l'audio pour le MIR
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In: https://tel.archives-ouvertes.fr/tel-03558515 ; Signal and Image processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT027⟩ (2021)
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Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.inria.fr/hal-03415990 ; K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Birger Larsen; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.371-393, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_24⟩ (2021)
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Simulating reading mistakes for child speech Transformer-based phone recognition
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In: Annual Conference of the International Speech Communication Association (INTERSPEECH) ; https://hal.archives-ouvertes.fr/hal-03257870 ; Annual Conference of the International Speech Communication Association (INTERSPEECH), Aug 2021, Brno, Czech Republic (2021)
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