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A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions.

, , , , and . IEEE Access, (2021)

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Improving the Dense Trajectories Approach Towards Efficient Recognition of Simple Human Activities., , and . IWBF, page 1-6. IEEE, (2019)Efficient video face recognition by using Fisher Vector encoding of binary features., , , , and . ICPR, page 1436-1441. IEEE, (2016)Partial Shape Matching and Retrieval under Occlusion and Noise., , , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 151-158. Springer, (2014)A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI., , , , , and . VISIGRAPP (2: HUCAPP), page 154-162. SCITEPRESS, (2022)Real Time Distraction Detection by Facial Attributes Recognition., , , and . MICAI (1), volume 13067 of Lecture Notes in Computer Science, page 265-276. Springer, (2021)Evaluación de la calidad de las imágenes de rostros utilizadas para la identificación de las personas., , , and . Computación y Sistemas, (2012)Knowledge Distillation in Video-Based Human Action Recognition: An Intuitive Approach to Efficient and Flexible Model Training., , and . J. Imaging, 10 (4): 85 (April 2024)A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions., , , , and . IEEE Access, (2021)Effective and Generalizable Graph-Based Clustering for Faces in the Wild., , and . Comput. Intell. Neurosci., (2019)Correction to: Action recognition by key trajectories., , , and . Pattern Anal. Appl., 25 (2): 485 (2022)