Maksim Golyadkin

According to our database, Maksim Golyadkin authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

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

Advancing Sequential Manga Colorization for AR Through Data Synthesis.

Maksim Golyadkin, Sergey Saraev, Ilya Makarov

IEEE Access, 2025

Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset.

Maksim Golyadkin, Ianis Plevokas, Ilya Makarov

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Refining the ONCE Benchmark With Hyperparameter Tuning.

Maksim Golyadkin, Alexander Gambashidze, Ildar Nurgaliev, Ilya Makarov

IEEE Access, 2024

Benchmarking and Data Synthesis for Colorization of Manga Sequential Pages for Augmented Reality.

Maksim Golyadkin, Sergey Saraev, Ilya Makarov

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection.

Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Weak-to-Strong 3D Object Detection with X-Ray Distillation.

Alexander Gambashidze, Aleksandr Dadukin, Maksim Golyadkin, Maria Razzhivina, Ilya Makarov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Robust Manga Page Colorization via Coloring Latent Space.

Maksim Golyadkin, Ilya Makarov

IEEE Access, 2023

2020

Semi-automatic Manga Colorization Using Conditional Adversarial Networks.

Maksim Golyadkin, Ilya Makarov

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