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ORCIDOleg Rogov
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2020 – today
- 2025
[j3]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. Pattern Recognit. Lett. 189: 188-194 (2025)- [i15]Mikhail Pautov, Danil Ivanov, Andrey V. Galichin, Oleg Rogov, Ivan V. Oseledets:
Spread them Apart: Towards Robust Watermarking of Generated Content. CoRR abs/2502.07845 (2025) - 2024
- [c5]Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. IJCAI 2024: 4778-4787 - [i14]Mikhail Pautov
, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets:
Probabilistically Robust Watermarking of Neural Networks. CoRR abs/2401.08261 (2024) - [i13]Nikolay Kalmykov, Rishat R. Zagidullin, Oleg Rogov, Sergey Rykovanov, Dmitry V. Dylov:
Suppressing Modulation Instability with Reinforcement Learning. CoRR abs/2404.04310 (2024) - [i12]Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets:
Certification of Speaker Recognition Models to Additive Perturbations. CoRR abs/2404.18791 (2024) - [i11]Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets:
GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. CoRR abs/2405.07562 (2024) - [i10]Kirill Borodin, Vasiliy Kudryavtsev, Dmitrii Korzh, Alexey Efimenko, Grach Mkrtchian, Gorodnichev Mikhail Genadievich, Oleg Y. Rogov:
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge. CoRR abs/2408.17352 (2024) - [i9]Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina:
CLEAR: Character Unlearning in Textual and Visual Modalities. CoRR abs/2410.18057 (2024) - 2023
- [j2]Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov:
Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning. IEEE Access 11: 85214-85223 (2023) - [c4]Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov:
DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images. AIST 2023: 199-211 - [i8]Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov:
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images. CoRR abs/2308.12727 (2023) - [i7]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures. CoRR abs/2311.08059 (2023) - 2022
- [j1]Vito M. Leli, Viktor Shipitsin, Oleg Y. Rogov, Aleksandr Sarachakov, Dmitry V. Dylov:
Adaptive Denoising and Alignment Agents for Infrared Imaging. IEEE Control. Syst. Lett. 6: 1586-1591 (2022) - [c3]Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov:
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. MICCAI (6) 2022: 365-375 - [c2]Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov:
Optimal MRI Undersampling Patterns for Pathology Localization. MICCAI (6) 2022: 768-779 - [i6]Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob K. White, Dmitry V. Dylov:
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging. CoRR abs/2203.05569 (2022) - [i5]Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov:
Medical Image Captioning via Generative Pretrained Transformers. CoRR abs/2209.13983 (2022) - 2021
- [i4]Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov:
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks. CoRR abs/2108.04914 (2021) - [i3]Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov:
Decentralized Autofocusing System with Hierarchical Agents. CoRR abs/2108.12842 (2021) - 2020
- [c1]Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, Dmitry V. Dylov:
Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning. ICARCV 2020: 434-441 - [i2]Kristina Belikova, Oleg Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov:
Deep Negative Volume Segmentation. CoRR abs/2006.12430 (2020) - [i1]Elizaveta Lazareva, Oleg Rogov, Olga Shegai, Denis Larionov, Dmitry V. Dylov:
Learnable Hollow Kernels for Anatomical Segmentation. CoRR abs/2007.05103 (2020)
Coauthor Index
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