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Ilya Makarov
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2020 – today
- 2024
- [j27]Maksim Golyadkin
, Alexander Gambashidze
Refining the ONCE Benchmark With Hyperparameter Tuning. IEEE Access 12: 3805-3814 (2024) - [j26]Ilia Semenkov
Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild. IEEE Access 12: 5163-5176 (2024) - [j25]Daria Yakovleva, Sergei Telnov, Ilya Makarov
Bid Landscape Forecasting and Cold Start Problem With Transformers. IEEE Access 12: 19117-19127 (2024) - [j24]Irina Sokolova, Ilya Makarov
From Esperanto to Volapük: Interpretable Graph Features for Assessing Linguistic Complexity in Constructed Languages. IEEE Access 12: 127637-127654 (2024) - [j23]Nikita Glazkov
Utterance-Aware Adaptive Data Labeling and Summarization: Exploiting Large Language Models for Unbiased Dialog Annotation. IEEE Access 12: 150793-150806 (2024) - [j22]Aleksandr Kovalenko
Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. IEEE Access 12: 152860-152872 (2024) - [j21]Yuanchao Liu
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment. Expert Syst. Appl. 245: 123043 (2024) - [c77]Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov:
Weak-to-Strong 3D Object Detection with X-Ray Distillation. CVPR 2024: 15055-15064 - [c76]Andrey V. Savchenko
Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet. ECAI 2024: 4439-4442 - [c75]Bashar M. Deeb, Andrey V. Savchenko
CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. ECAI 2024: 4479-4482 - [c74]Mikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko
InsideOut: Unifying Emotional LLMs to Foster Empathy. ECAI 2024: 4499-4502 - [c73]Danil Kononykhin, Mikhail Mozikov, Kirill Mishtal, Pavel Kuznetsov, Dmitrii Abramov, Nazar Sotiriadi, Yury Maximov, Andrey V. Savchenko, Ilya Makarov:
From Data to Decisions: Streamlining Geospatial Operations with Multimodal GlobeFlowGPT. SIGSPATIAL/GIS 2024: 649-652 - [c72]Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov:
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint). IJCAI 2024: 8479 - [c71]Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov:
Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection. IJCAI 2024: 8653-8656 - [c70]Maksim Golyadkin, Maria Shtark, Petr Ivanov, Alexander Kozhevnikov, Leonid Zhukov, Ilya Makarov:
Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. IJCAI 2024: 8669-8673 - [c69]Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov:
AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes. IJCAI 2024: 8776-8779 - [e3]Dmitry I. Ignatov
Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers. Communications in Computer and Information Science 1905, Springer 2024, ISBN 978-3-031-67007-7 [contents] - [e2]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] - [i15]Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov:
Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark. CoRR abs/2403.13502 (2024) - [i14]Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov:
Weak-to-Strong 3D Object Detection with X-Ray Distillation. CoRR abs/2404.00679 (2024) - [i13]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) - [i12]Alexander Gambashidze, Anton Kulikov, Yuriy Sosnin, Ilya Makarov:
Aligning Diffusion Models with Noise-Conditioned Perception. CoRR abs/2406.17636 (2024) - [i11]Daria Pugacheva, Andrei Ermakov, Igor Lyskov, Ilya Makarov, Yuriy Zotov:
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update. CoRR abs/2407.16468 (2024) - 2023
- [j20]Dmitrii Gavrilev
Fast Approximate Convex Hull Construction in Networks via Node Embedding. IEEE Access 11: 54588-54595 (2023) - [j19]Andrey V. Savchenko
Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. IEEE Access 11: 65977-65990 (2023) - [j18]Olga Gerasimova
Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom. IEEE Access 11: 88074-88086 (2023) - [j17]Matvey Gerasyov
Dealing With Sparse Rewards Using Graph Neural Networks. IEEE Access 11: 89180-89187 (2023) - [j16]Xinze Li
Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning. IEEE Access 11: 91842-91849 (2023) - [j15]Maksim Golyadkin
Robust Manga Page Colorization via Coloring Latent Space. IEEE Access 11: 111581-111597 (2023) - [j14]Mikhail Shulgin, Ilya Makarov
Scalable Zero-Shot Logo Recognition. IEEE Access 11: 142702-142710 (2023) - [j13]Maksim Golyadkin, Vitaliy Pozdnyakov
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. Artif. Intell. 324: 104012 (2023) - [j12]Dmitry Zhevnenko, Mikhail Kazantsev
Interaction models for remaining useful lifetime estimation. J. Ind. Inf. Integr. 33: 100444 (2023) - [c68]Vladlen Kulikov, Radoslav Neychev, Ilya Makarov:
Whether Large Language Models Learn at the Inference Stage? Effects of Active Learning and Labelling with LLMs on their Reasoning. AIST (Supplement) 2023: 42-53 - [c67]Georgy Gunkin, Ilya Makarov:
Gesture Recognition on Video Data. AIST (Supplement) 2023: 180-193 - [c66]Khlusov Pavel, Ilya Makarov:
Semantic-Aware GAN Manipulations for Human Face Editing. AIST (Supplement) 2023: 194-208 - [c65]Mikhail Foniakov, Anatoly Bardukov, Ilya Makarov:
Application of Multimodal Machine Learning for Image Recommendation Systems. AIST (Supplement) 2023: 235-249 - [c64]Albert Luginov, Ilya Makarov:
SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. ISMAR-Adjunct 2023: 642-647 - [c63]Ilia Indyk, Ilya Makarov:
MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation. ISMAR 2023: 1211-1220 - [c62]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: 649-656 - [c61]Tatiana Kolmakova, Ilya Makarov:
Efficient Transformer for Video Summarization. IWANN (2) 2023: 52-65 - [c60]Artem Oborevich, Ilya Makarov:
Iterative Graph Embedding and Clustering. IWANN (1) 2023: 68-79 - [c59]Olga Vais
Efficient Blind Image Super-Resolution. IWANN (2) 2023: 229-240 - [c58]Aleksei Pokoev, Ilya Makarov:
LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment. IWANN (2) 2023: 241-253 - [c57]Mikhail Mozikov, Ivan Lukyanenko, Ilya Makarov, Alexander Bulkin, Yury Maximov:
Long-Term Hail Risk Assessment with Deep Neural Networks. IWANN (1) 2023: 288-301 - [c56]Evgeniia Ondar, Ilya Makarov:
Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning. IWANN (2) 2023: 327-336 - [c55]Nikita Severin
Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. RecSys 2023: 919-925 - [c54]Ka Yeung Lam, Ilya Makarov:
Financial Trading via Reinforcement Learning and Convolutional Neural Networks. SISY 2023: 91-96 - [i10]Dmitry Zhevnenko, Mikhail Kazantsev, Ilya Makarov:
Interaction models for remaining useful life estimation. CoRR abs/2301.05029 (2023) - [i9]Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev
Refining the ONCE Benchmark with Hyperparameter Tuning. CoRR abs/2311.06054 (2023) - [i8]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 abs/2312.01092 (2023) - 2022
- [j11]Dmitrii Kiselev
Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access 10: 123614-123621 (2022) - [j10]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) - [j9]Ilya Makarov, Maria Bakhanova, Sergey I. Nikolenko, Olga Gerasimova:
Self-supervised recurrent depth estimation with attention mechanisms. PeerJ Comput. Sci. 8: e865 (2022) - [j8]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) - [c53]Aleksei Karpov
Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation. ISMAR 2022: 711-719 - [c52]Evgeniya Mikhaylova, Ilya Makarov:
Curiosity-driven Exploration in VizDoom. SISY 2022: 65-70 - [c51]Kirill Zhingalov, Aleksei Karpov
Multi-modal RGBD Attention Fusion for Dense Depth Estimation. SISY 2022: 109-114 - [c50]Artem Sayapin
Multi-Modal Deep Reinforcement Learning in ViZDoom with Audio Component. SISY 2022: 437-442 - [c49]Kirill Svidovskii, Ilia Semenkov
Attention-based Models in Self-supervised Monocular Depth Estimation. SISY 2022: 443-448 - [i7]Matvey Gerasyov
Dealing with Sparse Rewards Using Graph Neural Networks. CoRR abs/2203.13424 (2022) - [i6]Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov:
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. CoRR abs/2208.08879 (2022) - [i5]Ivan Lukyanenko, Mikhail Mozikov, Yury Maximov, Ilya Makarov:
Long-term hail risk assessment with deep neural networks. CoRR abs/2209.01191 (2022) - [i4]Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov:
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data. CoRR abs/2210.11164 (2022) - 2021
- [j7]Ilya Makarov
JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access 9: 144646-144659 (2021) - [j6]Ildar Lomov, Mark Lyubimov, Ilya Makarov
Fault detection in Tennessee Eastman process with temporal deep learning models. J. Ind. Inf. Integr. 23: 100216 (2021) - [j5]Ilya Makarov
Survey on graph embeddings and their applications to machine learning problems on graphs. PeerJ Comput. Sci. 7: e357 (2021) - [j4]Ilya Makarov
Fusion of text and graph information for machine learning problems on networks. PeerJ Comput. Sci. 7: e526 (2021) - [c48]Leonid Sherstyuk, Ilya Makarov
Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks. AIST (Supplement) 2021: 68-81 - [c47]Vitalii Sopov, Ilya Makarov
Transformer-Based Deep Reinforcement Learning in VizDoom. AIST (Supplement) 2021: 96-110 - [c46]Diana Zagidullina, Ilya Makarov
Outfit Recommendation using Graph Neural Networks via Visual Similarity. AIST 2021: 208-222 - [c45]Evgeniya Zavorina, Ilya Makarov
Depression Detection by Person's Voice. AIST 2021: 250-262 - [c44]Olga Gerasimova
Research Papers Recommendation. AIST 2021: 265-279 - [c43]Ilya Makarov, Gleb Borisenko
Depth Inpainting via Vision Transformer. ISMAR Adjunct 2021: 286-291 - [c42]Anna Beketova, Ilya Makarov:
Instagram Hashtag Prediction Using Deep Neural Networks. IWANN (2) 2021: 28-42 - [c41]Maria Bakhanova, Ilya Makarov:
Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents. IWANN (1) 2021: 138-150 - [c40]Boris Tseytlin
Hotel Recognition via Latent Image Embeddings. IWANN (2) 2021: 293-305 - [c39]Dmitrii Maslov, Ilya Makarov:
Fast Depth Reconstruction Using Deep Convolutional Neural Networks. IWANN (1) 2021: 456-467 - [e1]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] - [i3]Boris Tseytlin
Hotel Recognition via Latent Image Embedding. CoRR abs/2106.08042 (2021) - [i2]Boris Tseytlin
Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow. CoRR abs/2106.08048 (2021) - [i1]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
- [j3]Dmitrii Maslov, Ilya Makarov:
Online supervised attention-based recurrent depth estimation from monocular video. PeerJ Comput. Sci. 6: e317 (2020) - [c38]Alexander Pugachev, Anton Voronov, Ilya Makarov:
Prediction of News Popularity via Keywords Extraction and Trends Tracking. AIST (Supplement) 2020: 37-51 - [c37]Efim Luboshnikov, Ilya Makarov:
Federated Learning in Named Entity Recognition. AIST (Supplement) 2020: 90-101 - [c36]Maksim Golyadkin, Ilya Makarov:
Semi-automatic Manga Colorization Using Conditional Adversarial Networks. AIST 2020: 230-242 - [c35]Konstantin Lomotin
Automated Image and Video Quality Assessment for Computational Video Editing. AIST 2020: 243-256 - [c34]Kseniia Tikhomirova, Ilya Makarov:
Community Detection Based on the Nodes Role in a Network: The Telegram Platform Case. AIST 2020: 294-302 - [c33]Anton Broilovskiy
Human Action Recognition for Boxing Training Simulator. AIST 2020: 331-343 - [c32]Ilya Makarov, Daniil Chernyshev
Real-Time 3D Model Reconstruction and Mapping for Fashion. TSP 2020: 133-138
2010 – 2019
- 2019
- [j2]Ilya Makarov
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks. PeerJ Comput. Sci. 5: e172 (2019) - [c31]Ildar Kamaldinov
Deep Reinforcement Learning Methods in Match-3 Game. AIST 2019: 51-62 - [c30]Ilya Makarov
American and Russian Sign Language Dactyl Recognition and Text2Sign Translation. AIST 2019: 309-320 - [c29]Dmitrii Kiselev
Prediction of New Itinerary Markets for Airlines via Network Embedding. AIST (Supplement) 2019: 315-325 - [c28]Ildar Kamaldinov, Ilya Makarov:
Deep Reinforcement Learning in Match-3 Game. CoG 2019: 1-4 - [c27]Ilya Makarov, Olga Gerasimova:
Link Prediction Regression for Weighted Co-authorship Networks. IWANN (2) 2019: 667-677 - [c26]Ilya Makarov, Dmitrii Maslov, Olga Gerasimova, Vladimir Aliev, Alisa Korinevskaya, Ujjwal Sharma
On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss. ACM Multimedia 2019: 1080-1084 - [c25]Ilya Makarov, Nikolay Veldyaykin
American and russian sign language dactyl recognition. PETRA 2019: 204-210 - [c24]Ilya Makarov, Olga Gerasimova:
Predicting Collaborations in Co-authorship Network. SMAP 2019: 1-6 - [c23]Ilya Makarov, Nikolay Veldyaykin
Russian Sign Language Dactyl Recognition. TSP 2019: 726-729 - 2018
- [c22]Ilya Makarov
Joint Node-Edge Network Embedding for Link Prediction. AIST 2018: 20-31 - [c21]Ilya Makarov
Co-authorship Network Embedding and Recommending Collaborators via Network Embedding. AIST 2018: 32-38 - [c20]Ilya Makarov, Pavel Polyakov, Roman Karpichev:
Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component. AIST (Supplement) 2018: 129-140 - [c19]Ilya Makarov
Improving Picture Quality with Photo-Realistic Style Transfer. ICIAR 2018: 47-55 - [c18]Alisa Korinevskaya, Ilya Makarov:
Fast Depth Map Super-Resolution Using Deep Neural Network. ISMAR Adjunct 2018: 117-122 - [c17]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: 365-366 - [c16]Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev:
Fast Semi-dense Depth Map Estimation. RETech@ICMR 2018: 18-21 - [c15]Anastasia Feygina, Dmitry I. Ignatov
Realistic post-processing of rendered 3D scenes. SIGGRAPH Posters 2018: 42:1-42:2 - [c14]Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev:
Sparse Depth Map Interpolation using Deep Convolutional Neural Networks. TSP 2018: 1-5 - [c13]Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev:
Super-resolution of interpolated downsampled semi-dense depth map. Web3D 2018: 27:1-27:2 - [c12]Naveen Singh Rajput, Mukesh, Ashutosh Mishra
A novel autonomous taxi model for smart cities. WF-IoT 2018: 625-628 - 2017
- [c11]Ilya Makarov
Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games. AIST 2017: 183-196 - [c10]Ilya Makarov, Andrej Kashin, Alisa Korinevskaya:
Learning to Play Pong Video Game via Deep Reinforcement Learning. AIST (Supplement) 2017: 236-241 - [c9]Ilya Makarov
Scientific Matchmaker: Collaborator Recommender System. AIST 2017: 404-410 - [c8]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 2017: 412-416 - [c7]Ilya Makarov, Valeria Bodishtianu:
Logic of Existentialism in Fiction. FLAIRS 2017: 632-638 - [c6]Ilya Makarov, Vladimir Aliev, Olga Gerasimova, Pavel Polyakov:
Depth Map Interpolation Using Perceptual Loss. ISMAR Adjunct 2017: 93-94 - [c5]Ilya Makarov, Vladimir Aliev, Olga Gerasimova:
Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks. ACM Multimedia 2017: 1407-1415 - 2016
- [c4]Ilya Makarov, Pavel Polyakov:
Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves. AIST (Supplement) 2016: 191-202 - [c3]Ilya Makarov, Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev:
Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game. EEML@CLA 2016: 24-33 - [c2]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: 735-736 - 2015
- [j1]Ilya Makarov
Existence of Finite Total Equivalence Systems for Certain Closed Classes of 3-Valued Logic Functions. Logica Universalis 9(1): 1-26 (2015) - [c1]Ilya Makarov, Mikhail Tokmakov, Lada Tokmakova:
Imitation of Human Behavior in 3D-Shooter game. AIST (Supplement) 2015: 64-77
Coauthor Index
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