Machine learning for remote proctoring by Zhang, Zhenghang

“…The system is made up of four modules: user identification, suspicious object detection, head pose estimation, and gaze estimate. The face recognition function of the user identification system is implemented using a lightweight VGG (Oxford Visual Geometry Group) network. …”
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Backdoor attacks against deep image compression via adaptive frequency trigger by Yu, Yi, Wang, Yufei, Yang, Wenhan, Lu, Shijian, Tan, Yap Peng, Kot, Alex Chichung

“…In particular, we design several attack objectives for various attacking scenarios, including: 1) attacking compression quality in terms of bit-rate and reconstruction quality; 2) attacking task-driven measures, such as down-stream face recognition and semantic segmentation. Moreover, a novel simple dynamic loss is designed to balance the influence of different loss terms adaptively, which helps achieve more efficient training. …”
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Better object recognition and naming outcome with MRI-guided stereotactic laser amygdalohippocampotomy for temporal lobe epilepsy. by Drane, D, Loring, D, Voets, N, Price, M, Ojemann, J, Willie, J, Saindane, A, Phatak, V, Ivanisevic, M, Millis, S, Helmers, S, Miller, J, Meador, K, Gross, R

“…Twenty-one of 22 left (dominant) TLE patients declined on one or both naming tasks after open resection, while 11 of 17 right (nondominant) TLE patients declined on face recognition. SIGNIFICANCE: Preliminary results suggest (1) naming and recognition functions can be spared in TLE patients undergoing SLAH, and (2) the hippocampus does not appear to be an essential component of neural networks underlying name retrieval or recognition of common objects or famous faces.…”

Computational ethology for primate sociality: a novel paradigm for computer-vision-based analysis of animal behaviour by Schofield, DP

“…In Chapter 3 I lay the foundations of this framework for analysing behaviour and unlocking video datasets, using deep learning and face recognition. In Chapter 4 I evaluate the robustness of the method for modelling long-term sociality and social networks at Bossou and test whether life history variables predict individual-level sociality patterns. …”

Video understanding using multimodal deep learning by Nagrani, A

“…We demonstrate the utility of this technique for three different tasks; First we use face recognition and visual active speaker detection to curate a large scale audio-visual dataset of human speech called VoxCeleb, training on which yields state of the art models for speaker recognition; Second we train a text-based model to predict action labels from transcribed speech alone, and transfer these labels to accompanying videos. …”

Spherical-Based Iterative Closest Point With Nose Tip Localization For Unconstraint Viewpoint 3D Face Registration by Rudrusamy, Bhuvendhraa

“…3D face registration remains as a critical area of research as it can be applied for image fusion, face recognition, and motion analysis to name a few. It is a challenging task to register a viewpoint face image due to facial occlusion. …”
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Deep learning for face detection using matlab by Slim, Salim Adnan

“…It reveals that the research project has successfully managed to establish an accurate accurate human face detection and crystal-clear human face recognition systems. The system will annul the face image that are tilted, the images on non-human faces as well as the images of human faces that have watermarks. …”
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Enhanced contextual based deep learning model for niqab face detection by Al-Ashbi, Abdulaziz

“…Human face detection is one of the most investigated areas in computer vision which plays a fundamental role as the first step for all face processing and facial analysis systems, such as face recognition, security monitoring, and facial emotion recognition. …”
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Trust model to increase purchase intent among e-commerce consumers by Abbass, S. M., Osman, S. E. F.

“…After that capture a picture of the face of the consumer using a digital camera is stored digital image in the database (Image-DB) by his/her AK and then compared this data in a trusted third party (TTP) database equipped with technology Face Recognition (FR), where is verified by online verification (OV) system. …”

Privasi di Tempat Kerja: Tinjauan Dari Sudut Perundangan di Malaysia by Mohamed Yusoff, Zuryati, Ayub, Zainal Amin

“…The new technology involved includes global positioning systems, video surveillance, smart cards, face recognition and biometrics. The collection of personal data has significant importance with regard to privacy. …”
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Three-Dimensional Evaluation of Soft Tissue Malar Modifications after Zygomatic Valgization Osteotomy via Geometrical Descriptors by Elena Carlotta Olivetti, Federica Marcolin, Sandro Moos, Alberto Ferrando, Enrico Vezzetti, Umberto Autorino, Claudia Borbon, Emanuele Zavattero, Giovanni Gerbino, Guglielmo Ramieri

“…This study aims to propose a novel 3D approach for the evaluation of soft tissue zygomatic modifications after zygomatic osteotomy; geometrical descriptors usually involved in face analysis tasks, i.e., face recognition and facial expression recognition, are here applied to soft tissue malar region to detect changes in surface shape. …”
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Lightweight Pig Face Feature Learning Evaluation and Application Based on Attention Mechanism and Two-Stage Transfer Learning by Zhe Yin, Mingkang Peng, Zhaodong Guo, Yue Zhao, Yaoyu Li, Wuping Zhang, Fuzhong Li, Xiaohong Guo

“…With the advancement of machine vision technology, pig face recognition has garnered significant attention as a key component in the establishment of precision breeding models. …”
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Law Enforcement Officers’ Ability to Recognize Emotions: The Role of Personality Traits and Basic Needs’ Satisfaction by Aiste Dirzyte, Faustas Antanaitis, Aleksandras Patapas

“…Relatedness frustration significantly predicted decreased anger recognition, surprise recognition, and neutral face recognition. Furthermore, this study confirmed links between law enforcement officers’ personality traits, satisfaction/frustration of basic psychological needs, and emotion recognition, χ2 = 57.924; df = 41; <i>p</i> = 0.042; TLI = 0.929; CFI = 0.956; RMSEA = 0.042 [0.009–0.065]. …”
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Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery by Lucas P. Ramos, Dimas I. Alves, Leonardo T. Duarte, Mats I. Pettersson, Renato Machado

“…Robust principal component analysis (RPCA) has been widely used for processing and interpreting high-dimensional data in different applications such as data classification, face recognition, video analytics, and recommendation system design. …”
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A Distributed Fuzzy Optimal Decision Making Strategy for Task Offloading in Edge Computing Environment by Sasmita Rani Behera, Niranjan Panigrahi, Sourav Kumar Bhoi, Muhammad Bilal, Kshira Sagar Sahoo, Daehan Kwak

“…With the technological evolution of mobile devices, 5G and 6G communication and users&#x2019; demand for new generation applications viz. face recognition, image processing, augmented reality, etc., has accelerated the new computing paradigm of Mobile Edge Computing (MEC). …”
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Sparse Representations Optimization with Coupled Bayesian Dictionary and Dictionary Classifier for Efficient Classification by Muhammad Riaz-ud-din, Salman Abdul Ghafoor, Faisal Shafait

“…We demonstrated the effectiveness of our approach through experiments on the standard datasets, i.e., the Extended YaleB and AR face databases for face recognition, Caltech-101 and Fifteen Scene Category databases for categorization, and UCF sports action database for action recognition. …”
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NICUface: Robust Neonatal Face Detection in Complex NICU Scenes by Yasmina Souley Dosso, Daniel Kyrollos, Kimberley J. Greenwood, Joann Harrold, James R. Green

“…Recent studies have used facial video data to estimate vital signs, assess pain from facial expression, differentiate sleep-wake status, detect jaundice, and in face recognition. These applications depend on an accurate definition of the patient&#x2019;s face as a region of interest (ROI). …”
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CNN-Based Multimodal Human Recognition in Surveillance Environments by Ja Hyung Koo, Se Woon Cho, Na Rae Baek, Min Cheol Kim, Kang Ryoung Park

“…Previous research on indoor recognition has mainly focused on face recognition because the camera is usually closer to a person in an indoor environment than an outdoor environment. …”
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Vascular response to social cognitive performance measured by infrared thermography: A translational study from mouse to man by Jan Seidel, Fabian Bockhop, Miso Mitkovski, Sabine Martin, Anja Ronnenberg, Dilja Krueger‐Burg, Katharina Schneider, Heiko Röhse, Liane Wüstefeld, Filippo Cosi, Kai Bröking, Annekathrin Schacht, Hannelore Ehrenreich

“…Whereas cognitive performance and salivary cortisol were comparable across human subjects and tests, the Face Recognition Test was associated with a characteristic Reference Index profile. …”
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Research on the Development of a Proctoring System for Conducting Online Exams in Kazakhstan by Ardak Nurpeisova, Anargul Shaushenova, Zhazira Mutalova, Maral Ongarbayeva, Shakizada Niyazbekova, Anargul Bekenova, Lyazzat Zhumaliyeva, Samal Zhumasseitova

“…The YOLOv3 model showed better results in terms of real-time face recognition. Therefore, the YOLOv3 model was implemented into the Proctor SU proctoring system.…”
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