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检索条件"机构=HSE University Laboratory of Algorithms and Technologies for Network Analysis"
115 条 记 录,以下是11-20 订阅
排序:
Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors  9th
Efficient Group-Based Cohesion Prediction in Images Using Fa...
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9th International Conference on analysis of Images, Social networks, and Texts, AIST 2020
作者: Gavrikov, Ilya Savchenko, Andrey V. HSE University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
In this paper we study the problem of predicting the cohesiveness and emotion of a group of people in photo. We proposed a fast approach, consisting of face detection by using MTCNN, aggregation of facial features (ag... 详细信息
来源: 评论
Group-Level Affect Recognition in Video Using Deviation of Frame Features  10th
Group-Level Affect Recognition in Video Using Deviation of...
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10th International Conference on analysis of Images, Social networks and Texts, AIST 2021
作者: Savchenko, Andrey V. Savchenko, Lyudmila V. Belova, Natalya S. HSE University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia HSE University Moscow Russia
In this paper, we propose the novel video-based group-level emotion recognition algorithm. At first, the faces are detected in each video frame, and their features are extracted using a lightweight neural network, e.g... 详细信息
来源: 评论
Neural network model for video-based facial expression recognition in-the-wild on mobile devices  7
Neural network model for video-based facial expression recog...
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7th IEEE International Conference on Information Technology and Nanotechnology, ITNT 2021
作者: Demochkina, Polina Savchenko, Andrey V. HSE University Nizhny Novgorod Russia HSE University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
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-b... 详细信息
来源: 评论
Summarization of Videos from Online Events Based on Multimodal Emotion Recognition
Summarization of Videos from Online Events Based on Multimod...
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2022 International Russian Automation Conference, RusAutoCon 2022
作者: Abdrahimov, Amir Savchenko, Andrey V. Hse University Nizhny Novgorod Russia Hse University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
In this paper, we propose a novel video summarization technique for automatic affect analysis of participants of an online event. At first, face verification neural network is used to cluster facial regions that corre... 详细信息
来源: 评论
Touching the Limits of a Dataset in Video-Based Facial Expression Recognition
Touching the Limits of a Dataset in Video-Based Facial Expre...
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2021 International Russian Automation Conference, RusAutoCon 2021
作者: Churaev, Egor Savchenko, Andrey V. Hse University Nizhny Novgorod Russia Hse University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
In this paper, we examine the issue of video-based facial emotion recognition algorithms which show excellent performance on some benchmarks, but have much worse accuracy in practical applications. For example, the ty... 详细信息
来源: 评论
Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition
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Optical Memory and Neural networks (Information Optics) 2017年 第2期26卷 129-136页
作者: Savchenko, A.V. National Research University Higher School of Economics Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
We analyzed the way to increase computational efficiency of video-based image recognition methods with matching of high dimensional feature vectors extracted by deep convolutional neural networks. We proposed an algor... 详细信息
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EmotiEffNets for Facial Processing in Video-based Valence-Arousal Prediction, Expression Classification and Action Unit Detection
EmotiEffNets for Facial Processing in Video-based Valence-Ar...
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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
作者: Savchenko, Andrey V. Sber Ai Lab Moscow Russia Hse University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
In this article, the pre-trained convolutional networks from the EmotiEffNet family for frame-level feature extraction are used for downstream emotion analysis tasks from the fifth Affective Behavior analysis in-the-w... 详细信息
来源: 评论
MT-EmotiEffNet for Multi-task Human Affective Behavior analysis and Learning from Synthetic Data  17th
MT-EmotiEffNet for Multi-task Human Affective Behavior Anal...
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17th European Conference on Computer Vision, ECCV 2022
作者: Savchenko, Andrey V. HSE University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia Sber AI Lab Moscow Russia
In this paper, we present the novel multi-task EfficientNet model and its usage in the 4th competition on Affective Behavior analysis in-the-wild (ABAW). This model is trained for simultaneous recognition of facial ex... 详细信息
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Effective face recognition based on anomaly image detection and sequential analysis of neural descriptors  9
Effective face recognition based on anomaly image detection ...
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9th IEEE International Conference on Information Technology and Nanotechnology, ITNT 2023
作者: Sokolova, Anastasiia Savchenko, Andrey V. Hse University Nizhny Novgorod Russia Sber Ai Lab Moscow Russia Hse University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia
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-ag... 详细信息
来源: 评论
Robustness of Graphical Lasso Optimization Algorithm for Learning a Graphical Model  23rd
Robustness of Graphical Lasso Optimization Algorithm for L...
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23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024
作者: Kalyagin, Valeriy Kostylev, Ilya HSE University Laboratory of Algorithms and Technologies for Network Analysis Nizhny Novgorod Russia Steklov Mathematical Institute Russian Academy of Sciences Moscow Russia
Problem of learning a graphical model (graphical model selection problem) consists of recovering a conditional dependence structure (concentration graph) from data given as a sample of observations from a random vecto... 详细信息
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