Egor Churaev
- Postgraduate Student:HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Information Systems and Technologies
- Research Assistant:HSE Campus in Nizhny Novgorod / Laboratory of Algorithms and Technologies for Networks Analysis (Nizhny Novgorod)
- Visiting Lecturer:HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Applied Mathematics and Informatics
- Egor Churaev has been at HSE University since 2020.
Postgraduate Studies
4th year of study
Approved topic of thesis: Effective algorithms for audiovisual recognition of changes in people's emotions over time in conditions of limited computing resources
Academic Supervisor: Savchenko, Andrey
Courses (2023/2024)
Modern tools for solving computer vision problems (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 2 module)Eng
Publications4
- Article Churaev E., Savchenko A. A standalone software for real-time facial analysis in online conferences and e-lessons // Software Impacts. 2023. Vol. 16. No. 100507 doi
- Article Чураев Е. Н., Савченко А. В. Распознавание выражений лиц на основе адаптации классификатора видеоданных пользователя // Компьютерная оптика. 2023. Т. 47. № 5. С. 806-815. doi
- Chapter Churaev E., Andrey V. Savchenko. Multi-user facial emotion recognition in video based on user-dependent neural network adaptation, in: 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT). IEEE, 2022. doi P. 1-5. doi
- Chapter Churaev E., Savchenko A. Touching the Limits of a Dataset in Video-Based Facial Expression Recognition, in: 2021 International Russian Automation Conference (RusAutoCon). IEEE, 2021. P. 633-638. doi
Students from HSE University in Nizhny Novgorod Create Web Service for Recognising Emotions
A team of students from HSE University in Nizhny Novgorod and Minin University have created a mobile application and a web service for recognising emotions in photographs. This solution can be useful in marketing, education, personnel management—any areas where the quality of interpersonal communication matters.