Ilya Makarov

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 101

Top Venues

Publications

Ilia Semenkov, Aleksei Karpov, Andrey V. Savchenko, Ilya Makarov
Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild. IEEE Access 12 (2024)
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 (2024)
Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov
Weak-to-Strong 3D Object Detection with X-Ray Distillation. CoRR (2024)
Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov
Refining the ONCE Benchmark With Hyperparameter Tuning. IEEE Access 12 (2024)
Alexander Gambashidze, Anton Kulikov, Yuriy Sosnin, Ilya Makarov
Aligning Diffusion Models with Noise-Conditioned Perception. CoRR (2024)
Yuanchao Liu, Jiawei Han, Alexander G. Sboev, Ilya Makarov
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment. Expert Syst. Appl. 245 (2024)
Daria Pugacheva, Andrei Ermakov, Igor Lyskov, Ilya Makarov, Yuriy Zotov
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update. CoRR (2024)
Daria Yakovleva, Sergei Telnov, Ilya Makarov, Andrey Filchenkov
Bid Landscape Forecasting and Cold Start Problem With Transformers. IEEE Access 12 (2024)
Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov
Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark. CoRR (2024)
Mikhail Shulgin, Ilya Makarov
Scalable Zero-Shot Logo Recognition. IEEE Access 11 (2023)
Maksim Golyadkin, Ilya Makarov
Robust Manga Page Colorization via Coloring Latent Space. IEEE Access 11 (2023)
Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov
Refining the ONCE Benchmark with Hyperparameter Tuning. CoRR (2023)
Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov
Interaction models for remaining useful lifetime estimation. J. Ind. Inf. Integr. 33 (2023)
Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys (2023)
Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. Artif. Intell. 324 (2023)
Olga Vais, Ilya Makarov
Efficient Blind Image Super-Resolution. IWANN (2) (2023)
Tatiana Kolmakova, Ilya Makarov
Efficient Transformer for Video Summarization. IWANN (2) (2023)
Artem Oborevich, Ilya Makarov
Iterative Graph Embedding and Clustering. IWANN (1) (2023)
Evgeniia Ondar, Ilya Makarov
Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning. IWANN (2) (2023)
Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov
Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. IEEE Access 11 (2023)
Matvey Gerasyov, Ilya Makarov
Dealing With Sparse Rewards Using Graph Neural Networks. IEEE Access 11 (2023)
Ka Yeung Lam, Ilya Makarov
Financial Trading via Reinforcement Learning and Convolutional Neural Networks. SISY (2023)
Olga Gerasimova, Nikita Severin, Ilya Makarov
Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom. IEEE Access 11 (2023)
Albert Luginov, Ilya Makarov
SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. ISMAR-Adjunct (2023)
Xinze Li, Ilya Makarov, Dmitrii Kiselev
Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning. IEEE Access 11 (2023)
Amantur Amatov, Dmitry Lamanov, Maksim Titov, Ivan Vovk, Ilya Makarov, Mikhail A. Kudinov
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task. CoRR (2023)
Dmitrii Gavrilev, Ilya Makarov
Fast Approximate Convex Hull Construction in Networks via Node Embedding. IEEE Access 11 (2023)
Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov
Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) (2023)
Amantur Amatov, Dmitry Lamanov, Maksim Titov, Ivan Vovk, Ilya Makarov, Mikhail A. Kudinov
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task. ISMIR (2023)
Ilia Indyk, Ilya Makarov
MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation. ISMAR (2023)
Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov
Interaction models for remaining useful life estimation. CoRR (2023)
Aleksei Pokoev, Ilya Makarov
LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment. IWANN (2) (2023)
Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. CoRR (2022)
Matvey Gerasyov, Ilya Makarov
Dealing with Sparse Rewards Using Graph Neural Networks. CoRR (2022)
Kirill Svidovskii, Ilia Semenkov, Ilya Makarov
Attention-based Models in Self-supervised Monocular Depth Estimation. SISY (2022)
Dmitrii Kiselev, Ilya Makarov
Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access 10 (2022)
Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. CoRR (2022)
Kirill Zhingalov, Aleksei Karpov, Ilya Makarov
Multi-modal RGBD Attention Fusion for Dense Depth Estimation. SISY (2022)
Evgeniya Mikhaylova, Ilya Makarov
Curiosity-driven Exploration in VizDoom. SISY (2022)
Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network. IEEE Trans. Affect. Comput. 13 (4) (2022)
Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev
Temporal network embedding framework with causal anonymous walks representations. PeerJ Comput. Sci. 8 (2022)
Ilya Makarov, Maria Bakhanova, Sergey I. Nikolenko, Olga Gerasimova
Self-supervised recurrent depth estimation with attention mechanisms. PeerJ Comput. Sci. 8 (2022)
Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov
Long-term hail risk assessment with deep neural networks. CoRR (2022)
Artem Sayapin, Ilya Makarov
Multi-Modal Deep Reinforcement Learning in ViZDoom with Audio Component. SISY (2022)
Aleksei Karpov, Ilya Makarov
Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation. ISMAR (2022)
Evgeniya Zavorina, Ilya Makarov
Depression Detection by Person's Voice. AIST (2021)
Ilya Makarov, Mikhail Makarov, Dmitrii Kiselev
Fusion of text and graph information for machine learning problems on networks. PeerJ Comput. Sci. 7 (2021)
Maria Bakhanova, Ilya Makarov
Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents. IWANN (1) (2021)
Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, Lovro Subelj
Survey on graph embeddings and their applications to machine learning problems on graphs. PeerJ Comput. Sci. 7 (2021)
Dmitrii Maslov, Ilya Makarov
Fast Depth Reconstruction Using Deep Convolutional Neural Networks. IWANN (1) (2021)
Anna Beketova, Ilya Makarov
Instagram Hashtag Prediction Using Deep Neural Networks. IWANN (2) (2021)
Boris Tseytlin, Ilya Makarov
Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow. CoRR (2021)
Ilya Makarov, Gleb Borisenko
Depth Inpainting via Vision Transformer. ISMAR Adjunct (2021)
Diana Zagidullina, Ilya Makarov
Outfit Recommendation using Graph Neural Networks via Visual Similarity. AIST (2021)
Olga Gerasimova, Anna Lapidus, Ilya Makarov
Research Papers Recommendation. AIST (2021)
Boris Tseytlin, Ilya Makarov
Hotel Recognition via Latent Image Embeddings. IWANN (2) (2021)
Leonid Sherstyuk, Ilya Makarov
Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks. AIST (Supplement) (2021)
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 (2021)
Ildar Lomov, Mark Lyubimov, Ilya Makarov, Leonid E. Zhukov
Fault detection in Tennessee Eastman process with temporal deep learning models. J. Ind. Inf. Integr. 23 (2021)
Vitalii Sopov, Ilya Makarov
Transformer-Based Deep Reinforcement Learning in VizDoom. AIST (Supplement) (2021)
Ilya Makarov, Ksenia Korovina, Dmitrii Kiselev
JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access 9 (2021)
Boris Tseytlin, Ilya Makarov
Hotel Recognition via Latent Image Embedding. CoRR (2021)
Ilya Makarov, Daniil Chernyshev
Real-Time 3D Model Reconstruction and Mapping for Fashion. TSP (2020)
Anton Broilovskiy, Ilya Makarov
Human Action Recognition for Boxing Training Simulator. AIST (2020)
Konstantin Lomotin, Ilya Makarov
Automated Image and Video Quality Assessment for Computational Video Editing. AIST (2020)
Maksim Golyadkin, Ilya Makarov
Semi-automatic Manga Colorization Using Conditional Adversarial Networks. AIST (2020)
Kseniia Tikhomirova, Ilya Makarov
Community Detection Based on the Nodes Role in a Network: The Telegram Platform Case. AIST (2020)
Alexander Pugachev, Anton Voronov, Ilya Makarov
Prediction of News Popularity via Keywords Extraction and Trends Tracking. AIST (Supplement) (2020)
Dmitrii Maslov, Ilya Makarov
Online supervised attention-based recurrent depth estimation from monocular video. PeerJ Comput. Sci. 6 (2020)
Efim Luboshnikov, Ilya Makarov
Federated Learning in Named Entity Recognition. AIST (Supplement) (2020)
Ildar Kamaldinov, Ilya Makarov
Deep Reinforcement Learning Methods in Match-3 Game. AIST (2019)
Ilya Makarov, Olga Gerasimova
Link Prediction Regression for Weighted Co-authorship Networks. IWANN (2) (2019)
Dmitrii Kiselev, Ilya Makarov
Prediction of New Itinerary Markets for Airlines via Network Embedding. AIST (Supplement) (2019)
Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev
Russian Sign Language Dactyl Recognition. TSP (2019)
Ildar Kamaldinov, Ilya Makarov
Deep Reinforcement Learning in Match-3 Game. CoG (2019)
Ilya Makarov, Olga Gerasimova
Predicting Collaborations in Co-authorship Network. SMAP (2019)
Ilya Makarov, Dmitrii Maslov, Olga Gerasimova, Vladimir Aliev, Alisa Korinevskaya, Ujjwal Sharma, Haoliang Wang
On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss. ACM Multimedia (2019)
Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev
American and russian sign language dactyl recognition. PETRA (2019)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks. PeerJ Comput. Sci. 5 (2019)
Ilya Makarov, Nikolay Veldyaykin, Maxim Chertkov, Aleksei Pokoev
American and Russian Sign Language Dactyl Recognition and Text2Sign Translation. AIST (2019)
Alisa Korinevskaya, Ilya Makarov
Fast Depth Map Super-Resolution Using Deep Neural Network. ISMAR Adjunct (2018)
Ilya Makarov, Diana Polonskaya, Anastasia Feygina
Improving Picture Quality with Photo-Realistic Style Transfer. ICIAR (2018)
Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev
Sparse Depth Map Interpolation using Deep Convolutional Neural Networks. TSP (2018)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics. JCDL (2018)
Navin Singh Rajput, Mukesh, Ashutosh Mishra, A. Sisodia, Ilya Makarov
A novel autonomous taxi model for smart cities. WF-IoT (2018)
Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev
Super-resolution of interpolated downsampled semi-dense depth map. Web3D (2018)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Ksenia Korovina, Leonid E. Zhukov
Joint Node-Edge Network Embedding for Link Prediction. AIST (2018)
Anastasia Feygina, Dmitry I. Ignatov, Ilya Makarov
Realistic post-processing of rendered 3D scenes. SIGGRAPH Posters (2018)
Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev
Fast Semi-dense Depth Map Estimation. RETech@ICMR (2018)
Ilya Makarov, Pavel Polyakov, Roman Karpichev
Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component. AIST (Supplement) (2018)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
Co-authorship Network Embedding and Recommending Collaborators via Network Embedding. AIST (2018)
Ilya Makarov, Andrej Kashin, Alisa Korinevskaya
Learning to Play Pong Video Game via Deep Reinforcement Learning. AIST (Supplement) (2017)
Ilya Makarov, Valeria Bodishtianu
Logic of Existentialism in Fiction. FLAIRS Conference (2017)
Ilya Makarov, Vladimir Aliev, Olga Gerasimova
Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks. ACM Multimedia (2017)
Ilya Makarov, Vladimir Aliev, Olga Gerasimova, Pavel Polyakov
Depth Map Interpolation Using Perceptual Loss. ISMAR Adjunct (2017)
Ilya Makarov, Oleg Konoplia, Pavel Polyakov, Maxim Martynov, Peter Zyuzin, Olga Gerasimova, Valeria Bodishtianu
Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets. FLAIRS Conference (2017)
Ilya Makarov, Oleg Bulanov, Olga Gerasimova, Natalia Meshcheryakova, Ilia Karpov, Leonid E. Zhukov
Scientific Matchmaker: Collaborator Recommender System. AIST (2017)
Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov
Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games. AIST (2017)
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
First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System. ACM Multimedia (2016)
Ilya Makarov, Pavel Polyakov
Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves. AIST (Supplement) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ilya Makarov