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Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.

, , , , , , и . CoRR, (2020)

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IFI: Interpreting for Improving: A Multimodal Transformer with an Interpretability Technique for Recognition of Risk Events., , и . MMM (4), том 14557 из Lecture Notes in Computer Science, стр. 117-131. Springer, (2024)Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos., , , , , , и . CoRR, (2020)I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers., , и . ICIP, стр. 3271-3275. IEEE, (2022)Explainable Deep Learning for the Application to Multimodal Data. (Apprentissage Profond explicable Application sur les données multimodales).. University of Bordeaux, France, (2023)Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos., , , , , , и . WACV, стр. 2362-2371. IEEE, (2021)Lasagna: Layered Score Distillation for Disentangled Object Relighting., , , , , , и . CoRR, (2023)A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data., , , , , , и . ICDAR@ICMR, стр. 22-26. ACM, (2022)Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data., , , , , , и . ICPR, стр. 2778-2784. IEEE, (2022)Detection of Risky Situations for Frail Adults With Hybrid Neural Networks on Multimodal Health Data., , , , , и . IEEE Multim., 29 (1): 7-17 (2022)A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data., , , , , и . CBMI, стр. 1-6. IEEE, (2021)