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Video-based AI for beat-to-beat assessment of cardiac function
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Video-based AI for beat-to-beat assessment of cardiac function

Ouyang, David ; He, Bryan ; Ghorbani, Amirata ; Yuan, Neal ; Ebinger, Joseph ; Langlotz, Curtis P ; Heidenreich, Paul A ; Harrington, Robert A ; Liang, David H ; Ashley, Euan A ; Zou, James Y

Nature (London), 2020-04, Vol.580 (7802), p.252-256 [Periódico revisado por pares]

England: Nature Publishing Group

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A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
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A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost

Ismail, Aya ; Elpeltagy, Marwa ; S. Zaki, Mervat ; Eldahshan, Kamal

Sensors (Basel, Switzerland), 2021-08, Vol.21 (16), p.5413 [Periódico revisado por pares]

Basel: MDPI AG

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A novel keyframe extraction method for video classification using deep neural networks
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A novel keyframe extraction method for video classification using deep neural networks

Savran Kızıltepe, Rukiye ; Gan, John Q. ; Escobar, Juan José

Neural computing & applications, 2023-12, Vol.35 (34), p.24513-24524 [Periódico revisado por pares]

London: Springer London

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Dual contrast discriminator with sharing attention for video anomaly detection
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Dual contrast discriminator with sharing attention for video anomaly detection

Zeng, Yiwenhao ; Chen, Yihua ; Yu, Songsen ; Yang, Mingzhang ; Chen, Rongrong ; Xu, Fang

Machine vision and applications, 2024-07, Vol.35 (4), p.82, Article 82 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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CSMB-VSS: video scene segmentation with cosine similarity matrix
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CSMB-VSS: video scene segmentation with cosine similarity matrix

Chen, Zeyu ; Wang, Xinbo ; Wang, Ji ; Zhang, Yi ; Cao, Xiang

Multimedia tools and applications, 2024-01, Vol.83 (22), p.61451-61467 [Periódico revisado por pares]

New York: Springer US

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Self-Supervised Learning to Detect Key Frames in Videos
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Self-Supervised Learning to Detect Key Frames in Videos

Yan, Xiang ; Gilani, Syed Zulqarnain ; Feng, Mingtao ; Zhang, Liang ; Qin, Hanlin ; Mian, Ajmal

Sensors (Basel, Switzerland), 2020-12, Vol.20 (23), p.6941 [Periódico revisado por pares]

Switzerland: MDPI AG

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Static Video Compression’s Influence on Neural Network Performance
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Static Video Compression’s Influence on Neural Network Performance

Gowrisetty, Vishnu Sai Sankeerth ; Fernando, Anil

Electronics (Basel), 2023-01, Vol.12 (1), p.8 [Periódico revisado por pares]

Basel: MDPI AG

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A Multi-Modal Egocentric Activity Recognition Approach towards Video Domain Generalization
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A Multi-Modal Egocentric Activity Recognition Approach towards Video Domain Generalization

Papadakis, Antonios ; Spyrou, Evaggelos

Sensors (Basel, Switzerland), 2024-04, Vol.24 (8), p.2491 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System
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Modeling Two-Person Segmentation and Locomotion for Stereoscopic Action Identification: A Sustainable Video Surveillance System

Khalid, Nida ; Gochoo, Munkhjargal ; Jalal, Ahmad ; Kim, Kibum

Sustainability, 2021-01, Vol.13 (2), p.970 [Periódico revisado por pares]

Basel: MDPI AG

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Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review
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Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review

Murthy, Chinthakindi Balaram ; Hashmi, Mohammad Farukh ; Bokde, Neeraj Dhanraj ; Geem, Zong Woo

Applied sciences, 2020-05, Vol.10 (9), p.3280 [Periódico revisado por pares]

Basel: MDPI AG

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