Job responsibilities: Video Intelligence (~15 people) and Fundamental Research (~25 experts from different groups) teams leadership. Remote work coordination. Video Recognition and Retrieval. Trajectory Prediction. Face Recognition. Domain Adaptation. Robustness in DL. Geometrical DL. Collaboration projects with Universities on Fundamental Research in AI. Interviewing young talents. Mentoring interns.
Awards: Best Mentor Award (2020), Fundamental Research Incentive Award (2020), Outstanding Individual Award (2019), Future Star (2019, 2020), Team Golden Medal (2019, 2020), Top Selling Point Delivery Award (2019), multiple Video Engineering and Moscow Research Center incentive awards.
Job responsibilities: Video Intelligence (~7 people) group leadership. Face Recognition. Multi-task end2end (keypoints, detection, segmentation).
Awards: Technology Innovation and Breakthrough Award (2018), Quality Star (2018), Golden Luban Award (2018), Excellent Delivery and Customer Success Award (2018).
Job responsibilities: Creating and supporting of a large DB (~1-10M records) on Oracle, implementing its functionality using PL/SQL; a number of client interfaces (Perl – CGI\Tk, AJAX (prototype, jQuery), Delphi) for interconnection with DB; Windows SVN server administration.
Computer Technologies, 2006 September - 2007 April
Position: Programmer
Job responsibilities: Creating and supporting of bundled software to automate Internet provider tasks (accounting systems, billings, client and server-side for payment systems CyberPlat and OSMP using MySQL, PostgreSQL and Perl); implementing different web-interfaces and admin scripts (Perl, bash + sed, grep, awk) on demands for the administration department.
Position: Integration and testing department specialist
Job responsibilities: RTOS lynxOS testing in different environments, different scripts for testing (Perl, bash + sed, grep, awk); participating in porting utilities, OS code bug fixing (C); using CVS, RCS.
Job responsibilities: Speech experiments, algorithms development (Matlab, C) and speech recognition in noisy conditions.
Optical and Electronic technologies, 2005 July - 2006 April
Position: Software Engineer
Job responsibilities: Statistical experiments, algorithms development using Matlab for observation and tracing problem (video data from infrared imager).
arXiv"Smoothed Embeddings for Certified Few-Shot Learning". Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets.
arXiv"NUQ: Nonparametric Approach to Uncertainty Quantification for Deterministic Neural Networks". Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Aleksandr Petiushko, Maxim Panov.
2021
arXiv"Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021". Daria Bakshandaeva, Denis Dimitrov, Alex Shonenkov, Mark Potanin, Vladimir Arkhipkin, Denis Karachev, Vera Davydova, Anton Voronov, Mikhail Martynov, Natalia Semenova, Mikhail Stepnov, Elena Tutubalina, Andrey Chertok, Aleksandr Petiushko.
OpenReview"Nonparametric Approach to Uncertainty Quantification for Deterministic Neural Networks". Nikita Kotelevskii, Alexander Fishkov, Kirill Fedyanin, Aleksandr Petiushko, Maxim Panov. Accepted as poster by NeurIPS-2021 Workshop "Distribution Shifts. Connecting Methods and Applications" (DistShift 2021).
arXiv"CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks". Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets. Accepted on main techincal track by 2022 Association for the Advancement of Artificial Intelligence Cinference (AAAI-2022). Poster.
arXiv"Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation". Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko.
arXiv"Certified Robustness via Randomized Smoothing over Multiplicative Parameters". Nikita Muravev, Aleksandr Petiushko. Accepted as a (short) oral presentation by 31st International Joint Conference on Artificial Intelligence (IJCAI-2022).
arXiv"Darker than Black-Box: Face Reconstruction from Similarity Queries". Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko. Code.
arXiv, CVF Open Access"MDMMT: Multidomain Multimodal Transformer for Video Retrieval". Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko. Code. Presentation. Youtube. Accepted by CVPR-2021 Workshop "Large Scale Holistic Video Understanding" (HVU 2021).
arXiv"Quadric hypersurface intersection for manifold learning in feature space". Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeny Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko. Accepted as a poster by 25th International Conference on Artificial Intelligence and Statistics (AISTATS-2022). Youtube. Code.
2020
arXiv"Robustness Threats of Differential Privacy". Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets. Accepted by NeurIPS-2020 Workshop "Privacy Preserving Machine Learning" (PPML 2020).
arXiv"Mutual Modality Learning for Video Action Classification". Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko. Code.
arXiv, Springer"Black-Box Face Recovery from Identity Features". Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko. Code. Presentation. Youtube. Accepted by ECCV-2020 Workshop "The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security" (CV-COPS 2020).
arXiv, CVF Open Access"Geometry-Inspired Top-k Adversarial Perturbations". Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets. Accepted as oralpresentation by 2022 Winter Conference on Applications of Computer Vision WACV-2022.
2019
arXiv"On adversarial patches: real-world attack on ArcFace-100 face recognition system". Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko. Accepted by 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
arXiv"Real-world adversarial attack on MTCNN face detection system". Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko. Code. Youtube. Accepted by 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
Code for Python mimicking MatLab imresize() function.
(2008) FTP Search
Two versions of the ftpsearch engine: one running on the ftp_server itself, another for scanning ftp_servers remotely. All versions include indexer and web-interface for search itself. Were deployed on two main Briansk Internet providers of that time: BryanskTel and BKS-TV.
(2007) Samba Search
Code for smbsearch (again indexer as well as web-interface for search itself).
(2007) Regex Calculator
Code for web-interface of a simple calculator working using only regular expressions (and no any recursive functions).
Videos
2013
Youtube video demostrating simple OpenCV object tracking in C++ based on simple SSD.
2012
Youtube video demonstrating Kinect 3D head tracking with head pose (gaze) detection. Done while working at LSI.
Youtube video demonstrating Kinect 3D head registration based on 3D feature points. Done while working at LSI.
Youtube video demonstrating simple head pose estimation in 2D using 3D information. Done while working at LSI.