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Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition.

, и . IJCB, стр. 1-9. IEEE, (2022)

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Georgios Asteriadis

Stylianos Liodakis

Stylianos Karakantas

Stylianos Michalakis

Stylianos Velegrakis

 

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Detection of facial characteristics based on edge information., , , и . VISAPP (2), стр. 247-252. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2007)Towards Approximating Personality Cues Through Simple Daily Activities., , , , , , и . ACIVS, том 12002 из Lecture Notes in Computer Science, стр. 192-204. Springer, (2020)Investigating shared attention with a virtual agent using a gaze-based interface., , и . J. Multimodal User Interfaces, 3 (1-2): 119-130 (2010)Behavior and Personality Analysis in a Nonsocial Context Dataset., , и . CVPR Workshops, стр. 2354-2362. Computer Vision Foundation / IEEE Computer Society, (2018)Deep Triplet Networks with Attention for Sensor-based Human Activity Recognition., , и . PerCom, стр. 1-10. IEEE, (2021)Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition., , и . IJCNN, стр. 1-8. IEEE, (2022)Temporal Triplet Mining for Personality Recognition., , и . FG, стр. 379-386. IEEE, (2020)Towards Detecting Clusters of Players using Visual and Gameplay Behavioral Cues., , , и . VS-GAMES, том 15 из Procedia Computer Science, стр. 140-147. Elsevier, (2012)Exploiting IoT Technologies for Personalized Learning., , , , и . CIG, стр. 1-8. IEEE, (2018)Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition., , и . ACII, стр. 552-558. IEEE, (2019)