Oleg Rogov

Orcid: 0000-0001-9672-2427

According to our database1, Oleg Rogov authored at least 28 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences.
CoRR, August, 2025

A Data-Centric Framework for Addressing Phonetic and Prosodic Challenges in Russian Speech Generative Models.
CoRR, July, 2025

Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation.
CoRR, June, 2025

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models.
CoRR, June, 2025

Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy.
CoRR, May, 2025

Optimal Hyperspectral Undersampling Strategy for Satellite Imaging.
CoRR, April, 2025

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders.
CoRR, March, 2025

DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration.
CoRR, March, 2025

Spread them Apart: Towards Robust Watermarking of Generated Content.
CoRR, February, 2025

GLiRA: Closed-Box Membership Inference Attack via Knowledge Distillation.
IEEE Trans. Inf. Forensics Secur., 2025

FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures.
Pattern Recognit. Lett., 2025

CLEAR: Character Unlearning in Textual and Visual Modalities.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Certification of Speaker Recognition Models to Additive Perturbations.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge.
CoRR, 2024

GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation.
CoRR, 2024

Suppressing Modulation Instability with Reinforcement Learning.
CoRR, 2024

Probabilistically Robust Watermarking of Neural Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning.
IEEE Access, 2023

DeepLOC: Deep Learning-Based Bone Pathology Localization and Classification in Wrist X-Ray Images.
Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022
Adaptive Denoising and Alignment Agents for Infrared Imaging.
IEEE Control. Syst. Lett., 2022

Medical Image Captioning via Generative Pretrained Transformers.
CoRR, 2022

Optimal MRI Undersampling Patterns for Pathology Localization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Decentralized Autofocusing System with Hierarchical Agents.
CoRR, 2021

Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks.
CoRR, 2021

2020
Learnable Hollow Kernels for Anatomical Segmentation.
CoRR, 2020

Deep Negative Volume Segmentation.
CoRR, 2020

Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning.
Proceedings of the 16th International Conference on Control, 2020


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