Semi-automatic Manga Colorization Using Conditional Adversarial Networks. - Maksim Golyadkin; Ilya Makarov (AIST, 2020)

Robust Manga Page Colorization via Coloring Latent Space. - Maksim Golyadkin; Ilya Makarov (IEEE Access, 2023)

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes. - Maksim Golyadkin; Vitaliy Pozdnyakov; Leonid Zhukov; Ilya Makarov (Artif. Intell., 2023)

Weak-to-Strong 3D Object Detection with X-Ray Distillation. - Alexander Gambashidze; Aleksandr Dadukin; Maksim Golyadkin; Maria Razzhivina; Ilya Makarov (CVPR, 2024)

Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection. - Alexander Gambashidze; Aleksandr Dadukin; Maksim Golyadkin; Maria Razzhivina; Ilya Makarov (IJCAI, 2024)

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint). - Maksim Golyadkin; Vitaliy Pozdnyakov; Leonid Zhukov; Ilya Makarov (IJCAI, 2024)

Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring. - Maksim Golyadkin; Maria Shtark; Petr Ivanov; Alexander Kozhevnikov; Leonid Zhukov; Ilya Makarov (IJCAI, 2024)

Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality. - Maksim Golyadkin; Sergey Saraev; Ilya Makarov (ISMAR-Adjunct, 2024)

Refining the ONCE Benchmark With Hyperparameter Tuning. - Maksim Golyadkin; Alexander Gambashidze; Ildar Nurgaliev; Ilya Makarov (IEEE Access, 2024)

Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset. - Maksim Golyadkin; Ianis Plevokas; Ilya Makarov (WACV, 2025)

Advancing Sequential Manga Colorization for AR Through Data Synthesis. - Maksim Golyadkin; Sergey Saraev; Ilya Makarov (IEEE Access, 2025)

SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis. - Petr Ivanov; Maria Shtark; Alexander Kozhevnikov; Maksim Golyadkin; Dmitry Botov; Ilya Makarov (IEEE Access, 2025)