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Andrey V. Savchenko
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- affiliation: National Research University Higher School of Economics, Nizhny Novgorod, Russia
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2020 – today
- 2024
- [j28]Ilia Semenkov
, Aleksei Karpov
Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild. IEEE Access 12: 5163-5176 (2024) - [j27]Andrey V. Savchenko
AutoFace: How to Obtain Mobile Neural Network-Based Facial Feature Extractor in Less Than 10 Minutes? IEEE Access 12: 25106-25118 (2024) - [c52]Egor Churaev
To Kill a Student's Disengagement: Personalized Engagement Detection in Facial Video. AIED Companion (1) 2024: 329-337 - [c51]Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Andrey V. Savchenko, Elena Tutubalina:
Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. Tiny Papers @ ICLR 2024 - [c50]Mikhail Shirokikh
Neural Click Models for Recommender Systems. SIGIR 2024: 2553-2558 - [e13]Dmitry I. Ignatov
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - [i21]Andrey V. Savchenko:
HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction. CoRR abs/2403.11590 (2024) - [i20]Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov
Universal representations for financial transactional data: embracing local, global, and external contexts. CoRR abs/2404.02047 (2024) - [i19]Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov:
The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games. CoRR abs/2406.03299 (2024) - [i18]Irina Abdullaeva, Andrei Filatov, Mikhail Orlov, Ivan Karpukhin, Viacheslav Vasilev, Denis Dimitrov, Andrey Kuznetsov, Ivan Kireev, Andrey V. Savchenko:
ESQA: Event Sequences Question Answering. CoRR abs/2407.12833 (2024) - [i17]Andrey V. Savchenko:
HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognition. CoRR abs/2407.13184 (2024) - 2023
- [j26]Andrey V. Savchenko
Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. IEEE Access 11: 65977-65990 (2023) - [j25]Andrey V. Savchenko
Three-way classification for sequences of observations. Inf. Sci. 648: 119540 (2023) - [j24]Egor Churaev
A standalone software for real-time facial analysis in online conferences and e-lessons. Softw. Impacts 16: 100507 (2023) - [c49]Andrey V. Savchenko:
EmotiEffNets for Facial Processing in Video-based Valence-Arousal Prediction, Expression Classification and Action Unit Detection. CVPR Workshops 2023: 5716-5724 - [c48]Andrey V. Savchenko:
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction. ICML 2023: 30119-30129 - [c47]Nikita Severin
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys 2023: 919-925 - [i16]Andrey V. Savchenko:
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition. CoRR abs/2303.09162 (2023) - 2022
- [j23]Andrey V. Savchenko
Sequential analysis in Fourier probabilistic neural networks. Expert Syst. Appl. 207: 117885 (2022) - [j22]Andrey V. Savchenko
Gain-optimized spectral distortions for pronunciation training. Optim. Lett. 16(7): 2095-2113 (2022) - [j21]Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin
Temporal network embedding framework with causal anonymous walks representations. PeerJ Comput. Sci. 8: e858 (2022) - [j20]Andrey V. Savchenko, Kirill V. Demochkin, Ivan S. Grechikhin:
Preference prediction based on a photo gallery analysis with scene recognition and object detection. Pattern Recognit. 121: 108248 (2022) - [j19]Andrey V. Savchenko
HSEmotion: High-speed emotion recognition library. Softw. Impacts 14: 100433 (2022) - [j18]Andrey V. Savchenko
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network. IEEE Trans. Affect. Comput. 13(4): 2132-2143 (2022) - [c46]Andrey V. Savchenko:
Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets. CVPR Workshops 2022: 2358-2365 - [c45]Andrey V. Savchenko:
Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild. CVPR Workshops 2022: 4703-4712 - [c44]Andrey V. Savchenko, Anna P. Sidorova:
EmotiEffNet and Temporal Convolutional Networks in Video-based Facial Expression Recognition and Action Unit Detection. CVPR Workshops 2022: 4849-4859 - [c43]Andrey V. Savchenko
MT-EmotiEffNet for Multi-task Human Affective Behavior Analysis and Learning from Synthetic Data. ECCV Workshops (6) 2022: 45-59 - [c42]Andrey V. Savchenko:
Personalized Frame-Level Facial Expression Recognition in Video. ICPRAI (1) 2022: 447-458 - [c41]Anastasiia D. Sokolova, Andrey V. Savchenko:
Open-Set Face Identification with Sequential Analysis and Out-of-Distribution Data Detection*. IJCNN 2022: 1-8 - [c40]Andrey V. Savchenko:
Recommending Restaurants based on Classification of Photos from the Gallery of Mobile Device. SISY 2022: 431-436 - [e12]Evgeny Burnaev
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e11]Evgeny Burnaev
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [i15]Andrey V. Savchenko:
Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devices. CoRR abs/2203.13436 (2022) - [i14]Andrey V. Savchenko:
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images. CoRR abs/2207.09508 (2022) - 2021
- [j17]Andrey V. Savchenko:
Fast inference in convolutional neural networks based on sequential three-way decisions. Inf. Sci. 560: 370-385 (2021) - [j16]Angelina S. Kharchevnikova, Andrey V. Savchenko
Efficient video face recognition based on frame selection and quality assessment. PeerJ Comput. Sci. 7: e391 (2021) - [c39]Andrey V. Savchenko
Group-Level Affect Recognition in Video Using Deviation of Frame Features. AIST 2021: 199-207 - [c38]Andrey V. Savchenko:
User Preference Prediction in Visual Data on Mobile Devices. IJCNN 2021: 1-7 - [c37]Andrey V. Savchenko:
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks. SISY 2021: 119-124 - [c36]Lyudmila V. Savchenko, Andrey V. Savchenko:
Speaker-Aware Training of Speech Emotion Classifier with Speaker Recognition. SPECOM 2021: 614-625 - [e10]Wil M. P. van der Aalst
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e9]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [i13]Andrey V. Savchenko:
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks. CoRR abs/2103.17107 (2021) - [i12]Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev:
Temporal Graph Network Embedding with Causal Anonymous Walks Representations. CoRR abs/2108.08754 (2021) - 2020
- [j15]Andrey V. Savchenko
Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(2): 651-660 (2020) - [c35]Ilya Gavrikov, Andrey V. Savchenko:
Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors. AIST (Supplement) 2020: 140-148 - [c34]Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko:
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. COLING 2020: 1886-1892 - [c33]Andrey Kuznetsov
A New Sport Teams Logo Dataset for Detection Tasks. ICCVG 2020: 87-97 - [c32]Evgeniy V. Miasnikov, Andrey V. Savchenko
Detection and Recognition of Food in Photo Galleries for Analysis of User Preferences. ICIAR (1) 2020: 83-94 - [c31]Polina Demochkina
MobileEmotiFace: Efficient Facial Image Representations in Video-Based Emotion Recognition on Mobile Devices. ICPR Workshops (5) 2020: 266-274 - [c30]Andrey V. Savchenko
Event Recognition Based on Classification of Generated Image Captions. IDA 2020: 418-430 - [c29]Andrey V. Savchenko:
Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition. IJCNN 2020: 1-8 - [c28]Andrey V. Savchenko:
Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention. IJCNN 2020: 1-8 - [c27]Andrey V. Savchenko
Optimization of Gain in Symmetrized Itakura-Saito Discrimination for Pronunciation Learning. MOTOR 2020: 440-454 - [e8]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [i11]Artem Sokolov, Andrey V. Savchenko:
Gender domain adaptation for automatic speech recognition task. CoRR abs/2010.04224 (2020)
2010 – 2019
- 2019
- [j14]Artem M. Grachev
Compression of recurrent neural networks for efficient language modeling. Appl. Soft Comput. 79: 354-362 (2019) - [j13]Andrey V. Savchenko
Sequential three-way decisions in multi-category image recognition with deep features based on distance factor. Inf. Sci. 489: 18-36 (2019) - [j12]Andrey V. Savchenko
Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet. PeerJ Comput. Sci. 5: e197 (2019) - [c26]Anastasiia D. Sokolova, Andrey V. Savchenko
Fast Nearest-Neighbor Classifier Based on Sequential Analysis of Principal Components. AIST 2019: 73-80 - [c25]Kirill V. Demochkin, Andrey V. Savchenko
Multi-label Image Set Recognition in Visually-Aware Recommender Systems. AIST 2019: 291-297 - [c24]Ivan S. Grechikhin
User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos. IbPRIA (2) 2019: 429-440 - [c23]Andrey V. Savchenko
Scene Recognition in User Preference Prediction Based on Classification of Deep Embeddings and Object Detection. ISNN (2) 2019: 422-430 - [e7]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [i10]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of Recurrent Neural Networks for Efficient Language Modeling. CoRR abs/1902.02380 (2019) - [i9]Andrey V. Savchenko, Kirill V. Demochkin, Ivan S. Grechikhin:
User Preference Prediction in Visual Data on Mobile Devices. CoRR abs/1907.04519 (2019) - [i8]Andrey V. Savchenko:
Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning. CoRR abs/1911.11010 (2019) - 2018
- [j11]Andrey V. Savchenko
Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features. Expert Syst. Appl. 108: 170-182 (2018) - [c22]Alexander V. Tarasov, Andrey V. Savchenko
Emotion Recognition of a Group of People in Video Analytics Using Deep Off-the-Shelf Image Embeddings. AIST 2018: 191-198 - [c21]Elena Andreeva, Dmitry I. Ignatov
Extraction of Visual Features for Recommendation of Products via Deep Learning. AIST 2018: 201-210 - [c20]Andrey V. Savchenko
Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features. ICPR 2018: 3262-3267 - [c19]Andrey V. Savchenko
Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition. SACI 2018: 515-520 - [e6]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5 - 7, 2018. CEUR Workshop Proceedings 2268, CEUR-WS.org 2018 [contents] - [e5]Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman:
Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10716, Springer 2018, ISBN 978-3-319-73012-7 [contents] - [e4]Wil M. P. van der Aalst
Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11179, Springer 2018, ISBN 978-3-030-11026-0 [contents] - [i7]Andrey V. Savchenko:
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN. CoRR abs/1807.07718 (2018) - 2017
- [j10]Andrey V. Savchenko
Clustering and maximum likelihood search for efficient statistical classification with medium-sized databases. Optim. Lett. 11(2): 329-341 (2017) - [j9]Andrey V. Savchenko
Maximum-likelihood approximate nearest neighbor method in real-time image recognition. Pattern Recognit. 61: 459-469 (2017) - [c18]Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks. AIST 2017: 223-230 - [c17]Andrey V. Savchenko
Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search. IbPRIA 2017: 42-49 - [c16]Alexandr G. Rassadin
Group-level emotion recognition using transfer learning from face identification. ICMI 2017: 544-548 - [c15]Artem M. Grachev
Neural Networks Compression for Language Modeling. PReMI 2017: 351-357 - [c14]Andrey V. Savchenko
Sequential Three-Way Decisions in Efficient Classification of Piecewise Stationary SpeechSignals. IJCRS (2) 2017: 264-277 - [e3]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science 661, 2017, ISBN 978-3-319-52919-6 [contents] - [e2]Wil M. P. van der Aalst, Mikhail Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman, Dmitry I. Ignatov:
Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27 - 29, 2017. CEUR Workshop Proceedings 1975, CEUR-WS.org 2017 [contents] - [i6]Andrey V. Savchenko:
Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework. CoRR abs/1708.02733 (2017) - [i5]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. CoRR abs/1708.05963 (2017) - [i4]Andrey V. Savchenko, Natalya S. Belova:
Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition. CoRR abs/1708.07972 (2017) - [i3]Alexandr G. Rassadin
Group-level Emotion Recognition using Transfer Learning from Face Identification. CoRR abs/1709.01688 (2017) - [i2]Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko:
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks. CoRR abs/1709.05675 (2017) - 2016
- [j8]Andrey V. Savchenko
The maximal likelihood enumeration method for the problem of classifying piecewise regular objects. Autom. Remote. Control. 77(3): 443-450 (2016) - [j7]Andrey V. Savchenko
Fast multi-class recognition of piecewise regular objects based on sequential three-way decisions and granular computing. Knowl. Based Syst. 91: 252-262 (2016) - [c13]Vladimir R. Milov, Andrey V. Savchenko
Classification of Dangerous Situations for Small Sample Size Problem in Maintenance Decision Support Systems. AIST 2016: 338-345 - [c12]Andrey V. Savchenko
Pattern Classification with the Probabilistic Neural Networks Based on Orthogonal Series Kernel. ISNN 2016: 505-512 - [e1]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Supplementary Proceedings of the Fifth International Conference on Analysis of Images, Social Networks and Texts (AIST 2016), Yekaterinburg, Russia, April 6-8, 2016. CEUR Workshop Proceedings 1710, CEUR-WS.org 2016 [contents] - 2015
- [j6]Andrey V. Savchenko
Statistical Testing Of Segment Homogeneity In Classification Of Piecewise-Regular Objects. Int. J. Appl. Math. Comput. Sci. 25(4): 915-925 (2015) - [j5]Andrey V. Savchenko
Towards the creation of reliable voice control system based on a fuzzy approach. Pattern Recognit. Lett. 65: 145-151 (2015) - [c11]Andrey V. Savchenko
Sequential Hierarchical Image Recognition Based on the Pyramid Histograms of Oriented Gradients with Small Samples. AIST 2015: 14-23 - [c10]Andrey V. Savchenko
An Optimal Greedy Approximate Nearest Neighbor Method in Statistical Pattern Recognition. PReMI 2015: 236-245 - 2014
- [j4]Vladimir O. Chernousov, Andrey V. Savchenko:
Noise Resistant Morphological Algorithm of Moving Forklift Truck Detection on Noisy Image Data. Int. J. Concept. Struct. Smart Appl. 2(2): 36-54 (2014) - [c9]Vladimir O. Chernousov, Andrey V. Savchenko
A Fast Mathematical Morphological Algorithm of Video-Based Moving Forklift Truck Detection in Noisy Environment. AIST 2014: 57-65 - [c8]Andrey V. Savchenko
Nonlinear Transformation of the Distance Function in the Nearest Neighbor Image Recognition. CompIMAGE 2014: 261-266 - [c7]Andrey V. Savchenko
Semi-automated Speaker Adaptation: How to Control the Quality of Adaptation? ICISP 2014: 638-646 - [c6]Andrey V. Savchenko
Classification of a Sequence of Objects with the Fuzzy Decoding Method. RSCTC 2014: 309-318 - [i1]Andrey V. Savchenko:
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition. CoRR abs/1411.5555 (2014) - 2013
- [j3]Andrey V. Savchenko
Phonetic words decoding software in the problem of Russian speech recognition. Autom. Remote. Control. 74(7): 1225-1232 (2013) - [j2]Andrey V. Savchenko
Probabilistic neural network with homogeneity testing in recognition of discrete patterns set. Neural Networks 46: 227-241 (2013) - [c5]Andrey V. Savchenko
Real-Time Image Recognition with the Parallel Directed Enumeration Method. ICVS 2013: 123-132 - [c4]Lyudmila V. Savchenko, Andrey V. Savchenko:
Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem. NOLISP 2013: 176-183 - 2012
- [j1]Andrey V. Savchenko
Directed enumeration method in image recognition. Pattern Recognit. 45(8): 2952-2961 (2012) - [c3]Andrey V. Savchenko
Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network. ANNPR 2012: 93-103 - [c2]Andrey V. Savchenko
Face Recognition in Real-Time Applications: A Comparison of Directed Enumeration Method and K-d Trees. BIR 2012: 187-199 - 2011
- [c1]Andrey V. Savchenko
Image Recognition with a Large Database Using Method of Directed Enumeration Alternatives Modification. RSFDGrC 2011: 338-341
Coauthor Index
Mikhail Yu. Khachay
aka: Michael Yu. Khachay
aka: Michael Yu. Khachay
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