?
Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet
P. 4439–4442.
Publication based on the results of:
Yatskin D., Калинов И. А., В кн.: Перспективные системы и задачи управления: материалы Двенадцатой Всероссийской научно-практической конференции и Восьмой молодежной школы-семинара «Управление и обработка информации в технических системах».: Ростов н/Д: Издательство Южного федерального университета, 2017. С. 531–536.
В работе приведены и описаны модели методы и алгоритмы патрулирования пространства на примере задачи обнаружении человеческого лица на заранее известной территории роевой группой мультироторов. Работа описанных алгоритмов была подтверждена многочисленными экспериментами, на их основании были сделаны выводы об эффективности и границах применимости тех или иных подходов. ...
Added: March 7, 2025
Baulina M., Kosonogov V., Frontiers in Psychology 2024 Vol. 14 Article 1218124
Developmental dyscalculia (DD) is a subtype of learning disabilities, which is characterized by lower mathematical skills despite average intelligence and average or satisfactory performance in other academic areas. It is not fully understood how such deficits emerge in the course of brain development. When considering the mechanisms of dyscalculia, two domain-specific systems are distinguished. The ...
Added: November 13, 2023
Savchenko A., Savchenko L., Makarov I., IEEE Access 2023 Vol. 11 P. 65977–65990
This paper addresses the face recognition task for offline mobile applications. Using AutoML techniques, a novel technological framework is proposed to develop a fast neural network-based facial feature extractor for a concrete device. First, the Once-for-All SuperNet is trained on a large facial dataset. Each device is characterized by its lookup table, which contains the ...
Added: August 28, 2023
Sokolova A., Savchenko A., , in: 2023 IX International Conference on Information Technology and Nanotechnology (ITNT).: IEEE, 2023. P. 1–5.
In this paper, we explore the possibility to improve efficiency of face recognition using information about anomaly input images. Indeed, modern publicly-available datasets typically contain images of mostly middle-aged and Caucasian people, which cause most algorithms to fail on photos of older people or children, rarer ethnicities, poor-quality images, etc. Detection of such anomaly data ...
Added: June 13, 2023
Sokolova A., Savchenko A., , in: 2022 International Joint Conference on Neural Networks (IJCNN).: Institute of Electrical and Electronics Engineers Inc., 2022.
One of the main issues in face identification is to create a real-time application with high accuracy. Images are presented by high-dimensional feature vectors that are produced by convolutional neural networks. In order to effectively process such vectors, the hierarchical algorithm was proposed in this paper that applies sequential analysis to search the nearest neighbors ...
Added: May 29, 2023
Churaev E., Savchenko A., Компьютерная оптика 2023 Т. 47 № 5 С. 806–815
In this paper, an approach that can significantly increase the accuracy of facial emotion recogni- tion by adapting the model to the emotions of a particular user (e.g., smartphone owner) is consid- ered. At the first stage, a neural network model, which was previously trained to recognize facial expressions in static photos, is used to ...
Added: May 18, 2023
Churaev E., Savchenko A., Software Impacts 2023 Vol. 16 Article 100507
Nowadays, many meetings, lessons, conferences, and presentations are organized online, where it is complicated to communicate with an audience and control their engagement and emotions. In this article, we present a novel C++ application that is led to help estimate facial identities and expressions. It captures a screen with a window of an arbitrary online ...
Added: May 18, 2023
Ryabkova V.V., Высшее образование сегодня 2020 No. 8 P. 44–46
The results of the study of the didactic potential of mobile tests used in the framework of formative assessment of educational achievements of students of the English language according to the traditional model are presented. The data of the experiment using the Google Forms service is highlighted, during which grammar, vocabulary, reading and listening skills ...
Added: November 14, 2022
Alexandrov D., Программная инженерия 2022 Vol. 13 No. 7 P. 331–343
Trends in computer vision and pattern recognition and capabilities of modern computers contributed to a consid- erable amount of research of these areas application in facial recognition systems. The purpose of this paper is to investigate the most significant methods of face recognition. In the first two sections of current paper, the methods of face ...
Added: October 31, 2022
Borisova M. D., Tomchuk K. K., A. M. Turlikov, , in: 2020 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF).: IEEE, 2020. Ch. 9131479 P. 1–4.
The work considers a method for determining average relative difference in the length of the left and right legs' steps when walking on straight even surface. This value indirectly characterizes the degree of a number of diseases of the musculoskeletal and central nervous systems. The measurement interval for the difference in duration by the proposed ...
Added: October 31, 2022
Manna S., Ghildiyal S., Bhimani K. R., IEEE Access 2020 Article 1
Face recognition (FR) and verification is the immeasurable technology to encounter any criminal activities nowadays. With the remarkable applications extending from criminal ID, security, and observation to amusement sites. This system (recognition of faces) is exceptionally helpful in banks, air terminals, and different associations for screening customers. In deep learning, convolutional neural networks (CNN) have ...
Added: October 14, 2022
Соколова А. Д., Savchenko A., Nikolenko S. I., Компьютерная оптика 2022 Т. 46 № 5 С. 801–807
Одной из основных проблем современных нейросетевых дескрипторов в задаче идентификации лиц является малое число обучающих примеров определенного типа: изображения плохого качества, разный масштаб или освещение, лица детей, пожилых людей, редкие расы. В результате точность распознавания оказывается низкой для входных изображений, не похожих на большинство изображений в наборе данных, используемом для настройки метода извлечения признаков. В ...
Added: September 29, 2022
Savchenko A., , in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).: IEEE, 2022. P. 2358–2365.
In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of action unit points. We propose the novel frame-level emotion recognition algorithm by extracting facial features with the single EfficientNet model pre-trained on Affect-Net. The predictions for sequential frames are smoothed ...
Added: August 29, 2022
Savchenko A., Savchenko L., Makarov I., IEEE Transactions on Affective Computing 2022 Vol. 13 No. 4 P. 2132–2143
In this paper, behaviour of students in the e-learning environment is analyzed. The novel pipeline is proposed based on video facial processing. At first, face detection, tracking and clustering techniques are applied to extract the sequences of faces of each student. Next, a single efficient neural network is used to extract emotional features in each ...
Added: July 14, 2022
Demochkina P., Savchenko A., , in: 2021 International Conference on Information Technology and Nanotechnology (ITNT).: IEEE, 2021. P. 1–5.
In this paper, we propose to solve the problem of facial expression recognition in videos by implementing a two-stage procedure, in which, firstly, facial features are extracted from all frames using an EfficientNet-based model. The latter is pre-trained to identify facial attributes and further fine-tuned on an external dataset for the emotion classification task. Secondly, ...
Added: April 10, 2022
Demochkina P., Savchenko A., , in: Pattern Recognition. ICPR International Workshops and Challenges. Virtual Event, January 10–15, 2021, Proceedings, Part V.: Springer, 2021. P. 266–274.
In this paper, we address the emotion classification problem in videos using a two-stage approach. At the first stage, deep features are extracted from facial regions detected in each video frame using a MobileNet-based image model. This network has been preliminarily trained to identify the age, gender, and identity of a person, and further fine-tuned ...
Added: April 10, 2022
Springer, 2021.
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover ...
Added: April 10, 2022
Markvirer V., Ulitina S., , in: Development of Science = Развитие науки : материалы конкурса исследовательских работ на английском языке (2020–2021 г.).: ПГКУБ им. А. М. Горького, 2021. P. 66–72.
The article presents analytical review of existed solutions and technologies applied in computer vision control access systems, video monitoring and analysis areas. Such technologies are parts of the smart city concept and commonly used for recognition of faces in modern office buildings and business centers. Face recognition is used to distinct employees and guests, separated ...
Added: September 20, 2021