Макаров Илья Андреевич

Статья

Golyadkin M., Saraev S., Makarov I. Advancing Sequential Manga Colorization for AR Through Data Synthesis. IEEE Access. 2025. Vol. 13. pp. 7526-7537.. doi: 10.1109/ACCESS.2025.3526882

Статья

Romanova K., Senichev S., Veltman L., Nasonov I., Kuznetsov A., Makarov I. SODAOpt: Socio-Demographic and Textual Adaptive Fusion for Optimizing Developer Task Assignment. Proceedings of the 33rd ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE Companion '25). 2025. pp. 1250-1251.. doi: 10.1145/3696630.3731437

Статья

Исхаков А., Макаров И.А., Наумов В., Ковелёв В., Цветкова Е.А. Не указано. ACM Multimedia 2025 (конференция – Demo/Video Paper Track). 2025.

Статья

Makarov I., Sidelnikov N., Storonkin D., Kapustin E., Karandeev A., Maslov A., Golyadkin M. LCRM: A Linear-Camera Dataset for Road Marking Segmentation and Damage Evaluation. IEEE Access. 2025. Vol. 13. pp. 170106-170115.. doi: 10.1109/ACCESS.2025.3612491

Статья

Ivanov P., Shtark M., Kozhevnikov A., Golyadkin M., Botov D., Makarov I. SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis. IEEE Access. 2025. Vol. 13. pp. 25186-25197.. doi: 10.1109/access.2025.3537649

Статья

Shtark M., Kozhevnikov A., Ivanov P., Makarov I. Poster Abstract: Minimizing Labeling Efforts for Fault Detection and Diagnosis. SenSys '25: Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems. 2025. pp. 666-667.. doi: 10.1145/3715014.3724060

Статья

Ivanov P., Kozhevnikov A., Shtark M., Makarov I. Poster Abstract: Exploring the Autoencoder Sequence Pooling. SenSys '25: Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems. 2025. pp. 606-607.. doi: 10.1145/3715014.3724030

Статья

Severin N., Ziablitsev A., Savelyeva Y., Tashchilin V., Bulychev I., Yushkov M., Kushneruk A., Zaryvnykh A., Kiselev D., Savchenko A., Makarov I. LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. 2024 IEEE International Conference on Data Mining Workshops (ICDMW). 2024. pp. 903-906.. doi: https://doi.ieeecomputersociety.org/10.1109/ICDMW65004.2024.00125

Статья

Gerasyov M., Kiselev D., Beketov M., Makarov I. VIA AI: Reliable Deep Reinforcement Learning for Traffic Signal Control. 2024 IEEE International Conference on Data Mining Workshops (ICDMW). 2024. pp. 887-890.. doi: https://doi.org/10.1109/ICDMW65004.2024.00121

Статья

Mozikov M., Severin N., Bodishtianu V., Glushanina M., Nasonov I., Orekhov D., Pekhotin V., Makovetskiy I., Baklashkin M., Lavrentyev V., Tsvigun A., Turdakov D., Shavrina T., Savchenko A., Makarov I. EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas. Advances in Neural Information Processing Systems. 2024. Vol. 37. pp. 1-15.

Статья

Gambashidze A., Dadukin A., Golyadkin M., Razzhivina M., Makarov I. Weak-to-Strong 3D Object Detection with X-Ray Distillation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. pp. 15055–15064.

Статья

Golyadkin M., Saraev S., Makarov I. Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality. 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). 2024. pp. 608-611.. doi: 10.1109/ISMAR-Adjunct64951.2024.00174

Статья

Kovalenko A., Pozdnyakov V., Drobyshevskiy M., Lukyanov K., Makarov I. Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process. IEEE Open Journal of the Industrial Electronics Society. 2024. pp. 428 - 440.. doi: https://doi.org/10.1109/OJIES.2024.3401396

Статья

Pozdnyakov V., Kovalenko A., Makarov I., Drobyshevskiy M., Lukyanov K. AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. 2024. pp. 8776--8779.. doi: https://doi.org/10.24963/ijcai.2024/1030

Статья

Novopoltsev M., Tulenkov A., Murtazin R., Akhidov R., Zemtsova I., Bojarskaja E., Bondarenko D., Savchenko A., Makarov I. Video-based learning of sign languages: one pre-train to fit them all. 2024 IEEE International Conference on Data Mining Workshops (ICDMW). 2024. pp. 899-902.. doi: 10.1109/icdmw65004.2024.00124

Статья

Golyadkin M., Shtark M., Ivanov P., Kozhevnikov A., Zhukov L., Makarov I. Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. 33th International Joint Conference on Artificial Intelligence, IJCAI 2024. 2024. pp. 8669-8673.. doi: 10.24963/ijcai.2024/1005

Статья

Dayoub Y., Savchenko A., Makarov I. Pose Networks Unveiled: Bridging the Gap for Monocular Depth Perception. 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). 2024. pp. 584-587.. doi: https://doi.org/10.1109/ISMAR-Adjunct64951.2024.00168

Статья

Semenkov I., Fedosov N., Makarov I., Ossadtchi A. Real-time low latency estimation of brain rhythms with deep neural networks. Journal of Neural Engineering. 2023. Vol. 20. No. 5. pp. 056008.. doi: 10.1088/1741-2552/acf7f3

Статья

Gerasimova O., Severin N., Makarov I. Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom. IEEE Access. 2023. Vol. 11. pp. 88074-88086.. doi: 10.1109/ACCESS.2023.3305272

Статья

Luginov A., Makarov I. SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). 2023. pp. 642-647.. doi: 10.1109/ISMAR-Adjunct60411.2023.00137

Статья

Макаров И.А. Predicting Molecule Toxicity via Descriptor-based Graph Self-supervised Learning. IEEE Access. 2023. pp. 91842 - 91849.. doi: https://doi.org/10.1109/ACCESS.2023.3308203

Статья

Gerasyov M., Makarov I. Dealing With Sparse Rewards Using Graph Neural Networks. IEEE Access. 2023. Vol. 11. pp. 89180-89187.. doi: 10.1109/ACCESS.2023.3305927

Статья

Макаров И.А. MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation. IEEE. 2023.. doi: https://doi.org/10.1109/ISMAR59233.2023.00138

Статья

Kiselev D., Makarov I. Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access. 2022. Vol. 10. pp. 123614-123621.. doi: 10.1109/ACCESS.2022.3224816

Статья

Макаров И.А. SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. Artificial Intelligence. 2022.. doi: https://doi.org/10.48550/arXiv.2208.08879

Статья

Макаров И.А. Temporal network embedding framework with causal anonymous walks representations. PeerJ Computer Science. 2022.. doi: https://doi.org/10.7717%2Fpeerj-cs.858

Статья

Savchenko A., Makarov I., Savchenko L.V. Classifying emotions and engagement in online learning based on a single facial expression recognition neural network. IEEE Transactions on Affective Computing. 2022. Vol. 13. No. 4. pp. 2132-2143.. doi: 10.1109/TAFFC.2022.3188390

Статья

Макаров И.А. Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation. IEEE. 2022. pp. 711-719.. doi: https://doi.org/10.1109/ISMAR55827.2022.00089

Статья

Макаров И.А. Depth Inpainting via Vision Transformer. IEEE. 2021.. doi: https://doi.org/10.1109/ISMAR-Adjunct54149.2021.00065

Статья

Makarov I., Korovina K., Kiselev D. JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access. 2021. Vol. 9. pp. 144646-144659.. doi: 10.1109/ACCESS.2021.3122100