Ilya Makarov

According to our database, Ilya Makarov authored at least 94 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark.

Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov

CoRR, 2024

Bid Landscape Forecasting and Cold Start Problem With Transformers.

Daria Yakovleva, Sergei Telnov, Ilya Makarov, Andrey Filchenkov

IEEE Access, 2024

Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild.

Ilia Semenkov, Aleksei Karpov, Andrey V. Savchenko, Ilya Makarov

IEEE Access, 2024

Refining the ONCE Benchmark With Hyperparameter Tuning.

Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov

IEEE Access, 2024

2023

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes.

Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov

Artif. Intell., November, 2023

Interaction models for remaining useful lifetime estimation.

Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov

J. Ind. Inf. Integr., 2023

Interaction models for remaining useful life estimation.

Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov

CoRR, 2023

Scalable Zero-Shot Logo Recognition.

Mikhail Shulgin, Ilya Makarov

IEEE Access, 2023

Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator.

Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov

IEEE Access, 2023

Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning.

Xinze Li, Ilya Makarov, Dmitrii Kiselev

IEEE Access, 2023

Robust Manga Page Colorization via Coloring Latent Space.

Maksim Golyadkin, Ilya Makarov

IEEE Access, 2023

Dealing With Sparse Rewards Using Graph Neural Networks.

Matvey Gerasyov, Ilya Makarov

IEEE Access, 2023

Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom.

Olga Gerasimova, Nikita Severin, Ilya Makarov

IEEE Access, 2023

Fast Approximate Convex Hull Construction in Networks via Node Embedding.

Dmitrii Gavrilev, Ilya Makarov

IEEE Access, 2023

Financial Trading via Reinforcement Learning and Convolutional Neural Networks.

Ka Yeung Lam, Ilya Makarov

Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems.

Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Efficient Blind Image Super-Resolution.

Olga Vais, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2023

LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment.

Aleksei Pokoev, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2023

Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning.

Evgeniia Ondar, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2023

Iterative Graph Embedding and Clustering.

Artem Oborevich, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2023

Long-Term Hail Risk Assessment with Deep Neural Networks.

Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov

Proceedings of the Advances in Computational Intelligence, 2023

Efficient Transformer for Video Summarization.

Tatiana Kolmakova, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2023

A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task.

Amantur Amatov, Dmitry Lamanov, Maksim Titov, Ivan Vovk, Ilya Makarov, Mikhail A. Kudinov

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices.

Albert Luginov, Ilya Makarov

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation.

Ilia Indyk, Ilya Makarov

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023

2022

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network.

Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov

IEEE Trans. Affect. Comput., 2022

Temporal network embedding framework with causal anonymous walks representations.

Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev

PeerJ Comput. Sci., 2022

Self-supervised recurrent depth estimation with attention mechanisms.

Ilya Makarov, Maria Bakhanova, Sergey I. Nikolenko, Olga Gerasimova

PeerJ Comput. Sci., 2022

Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.

Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov

CoRR, 2022

Long-term hail risk assessment with deep neural networks.

Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov

CoRR, 2022

Exploration in Sequential Recommender Systems via Graph Representations.

Dmitrii Kiselev, Ilya Makarov

IEEE Access, 2022

Multi-modal RGBD Attention Fusion for Dense Depth Estimation.

Kirill Zhingalov, Aleksei Karpov, Ilya Makarov

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Attention-based Models in Self-supervised Monocular Depth Estimation.

Kirill Svidovskii, Ilia Semenkov, Ilya Makarov

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Multi-Modal Deep Reinforcement Learning in ViZDoom with Audio Component.

Artem Sayapin, Ilya Makarov

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Curiosity-driven Exploration in VizDoom.

Evgeniya Mikhaylova, Ilya Makarov

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation.

Aleksei Karpov, Ilya Makarov

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2022

2021

Fusion of text and graph information for machine learning problems on networks.

Ilya Makarov, Mikhail Makarov, Dmitrii Kiselev

PeerJ Comput. Sci., 2021

Survey on graph embeddings and their applications to machine learning problems on graphs.

Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, Lovro Subelj

PeerJ Comput. Sci., 2021

Fault detection in Tennessee Eastman process with temporal deep learning models.

Ildar Lomov, Mark Lyubimov, Ilya Makarov, Leonid E. Zhukov

J. Ind. Inf. Integr., 2021

Temporal Graph Network Embedding with Causal Anonymous Walks Representations.

Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev

CoRR, 2021

Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow.

Boris Tseytlin, Ilya Makarov

CoRR, 2021

Hotel Recognition via Latent Image Embedding.

Boris Tseytlin, Ilya Makarov

CoRR, 2021

JONNEE: Joint Network Nodes and Edges Embedding.

Ilya Makarov, Ksenia Korovina, Dmitrii Kiselev

IEEE Access, 2021

Hotel Recognition via Latent Image Embeddings.

Boris Tseytlin, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2021

Fast Depth Reconstruction Using Deep Convolutional Neural Networks.

Dmitrii Maslov, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2021

Instagram Hashtag Prediction Using Deep Neural Networks.

Anna Beketova, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2021

Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents.

Maria Bakhanova, Ilya Makarov

Proceedings of the Advances in Computational Intelligence, 2021

Depth Inpainting via Vision Transformer.

Ilya Makarov, Gleb Borisenko

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2021

Depression Detection by Person's Voice.

Evgeniya Zavorina, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2021

Outfit Recommendation using Graph Neural Networks via Visual Similarity.

Diana Zagidullina, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2021

Transformer-Based Deep Reinforcement Learning in VizDoom.

Vitalii Sopov, Ilya Makarov

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2021

Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks.

Leonid Sherstyuk, Ilya Makarov

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2021

Research Papers Recommendation.

Olga Gerasimova, Anna Lapidus, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020

Online supervised attention-based recurrent depth estimation from monocular video.

Dmitrii Maslov, Ilya Makarov

PeerJ Comput. Sci., 2020

Real-Time 3D Model Reconstruction and Mapping for Fashion.

Ilya Makarov, Daniil Chernyshev

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Community Detection Based on the Nodes Role in a Network: The Telegram Platform Case.

Kseniia Tikhomirova, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Prediction of News Popularity via Keywords Extraction and Trends Tracking.

Alexander Pugachev, Anton Voronov, Ilya Makarov

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

Federated Learning in Named Entity Recognition.

Efim Luboshnikov, Ilya Makarov

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

Automated Image and Video Quality Assessment for Computational Video Editing.

Konstantin Lomotin, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Semi-automatic Manga Colorization Using Conditional Adversarial Networks.

Maksim Golyadkin, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Human Action Recognition for Boxing Training Simulator.

Anton Broilovskiy, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2020

2019

Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov

PeerJ Comput. Sci., 2019

Russian Sign Language Dactyl Recognition.

Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev

Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Predicting Collaborations in Co-authorship Network.

Ilya Makarov, Olga Gerasimova

Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

American and russian sign language dactyl recognition.

Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss.

Ilya Makarov, Dmitrii Maslov, Olga Gerasimova, Vladimir Aliev, Alisa Korinevskaya, Ujjwal Sharma, Haoliang Wang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Link Prediction Regression for Weighted Co-authorship Networks.

Ilya Makarov, Olga Gerasimova

Proceedings of the Advances in Computational Intelligence, 2019

Deep Reinforcement Learning in Match-3 Game.

Ildar Kamaldinov, Ilya Makarov

Proceedings of the IEEE Conference on Games, 2019

American and Russian Sign Language Dactyl Recognition and Text2Sign Translation.

Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Prediction of New Itinerary Markets for Airlines via Network Embedding.

Dmitrii Kiselev, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Deep Reinforcement Learning Methods in Match-3 Game.

Ildar Kamaldinov, Ilya Makarov

Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018

A novel autonomous taxi model for smart cities.

Naveen Singh Rajput, Mukesh, Ashutosh Mishra, A. Sisodia, Ilya Makarov

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Super-resolution of interpolated downsampled semi-dense depth map.

Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev

Proceedings of the 23rd International ACM Conference on 3D Web Technology, 2018

Sparse Depth Map Interpolation using Deep Convolutional Neural Networks.

Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev

Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Realistic post-processing of rendered 3D scenes.

Anastasia Feygina, Dmitry I. Ignatov, Ilya Makarov

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018

Fast Semi-dense Depth Map Estimation.

Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev

Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech, 2018

Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Fast Depth Map Super-Resolution Using Deep Neural Network.

Alisa Korinevskaya, Ilya Makarov

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018

Improving Picture Quality with Photo-Realistic Style Transfer.

Ilya Makarov, Diana Polonskaya, Anastasia Feygina

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component.

Ilya Makarov, Pavel Polyakov, Roman Karpichev

Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

Joint Node-Edge Network Embedding for Link Prediction.

Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Ksenia Korovina, Leonid E. Zhukov

Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017

Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks.

Ilya Makarov, Vladimir Aliev, Olga Gerasimova

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Depth Map Interpolation Using Perceptual Loss.

Ilya Makarov, Vladimir Aliev, Olga Gerasimova, Pavel Polyakov

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets.

Ilya Makarov, Oleg Konoplia, Pavel Polyakov, Maxim Martynov, Peter Zyuzin, Olga Gerasimova, Valeria Bodishtianu

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Logic of Existentialism in Fiction.

Ilya Makarov, Valeria Bodishtianu

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games.

Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov

Proceedings of the Analysis of Images, Social Networks and Texts, 2017

Learning to Play Pong Video Game via Deep Reinforcement Learning.

Ilya Makarov, Andrej Kashin, Alisa Korinevskaya

Proceedings of the Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27, 2017

Scientific Matchmaker: Collaborator Recommender System.

Ilya Makarov, Oleg Bulanov, Olga Gerasimova, Natalia Meshcheryakova, Ilia Karpov, Leonid E. Zhukov

Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016

First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System.

Ilya Makarov, Mikhail Tokmakov, Pavel Polyakov, Peter Zyuzin, Maxim Martynov, Oleg Konoplya, George Kuznetsov, Ivan Guschenko-Cheverda, Maxim Uriev, Ivan Mokeev, Olga Gerasimova, Lada Tokmakova, Alexey Kosmachev

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game.

Ilya Makarov, Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev

Proceedings of the Third Workshop on Experimental Economics and Machine Learning co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016

Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves.

Ilya Makarov, Pavel Polyakov

Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015

Existence of Finite Total Equivalence Systems for Certain Closed Classes of 3-Valued Logic Functions.

Ilya Makarov

Logica Universalis, 2015

Imitation of Human Behavior in 3D-Shooter game.

Ilya Makarov, Mikhail Tokmakov, Lada Tokmakova

Proceedings of the Supplementary Proceedings of the 4th International Conference on Analysis of Images, 2015