Vera Soboleva

11 papers A* 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
T-LoRA: Single Image Diffusion Model Customization Without Overfitting.
AAAI
Vera Soboleva, Aibek Alanov, Andrey Kuznetsov, Konstantin Sobolev
2025 J jnl
Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation.
CoRR
Vera Soboleva, Maksim Nakhodnov, Aibek Alanov
2025 J jnl
RiemannLoRA: A Unified Riemannian Framework for Ambiguity-Free LoRA Optimization.
CoRR
Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko, Denis Bobkov, Vera Soboleva, Aibek Alanov, Maxim V. Rakhuba
2025 J jnl
T-LoRA: Single Image Diffusion Model Customization Without Overfitting.
CoRR
Vera Soboleva, Aibek Alanov, Andrey Kuznetsov, Konstantin Sobolev
2024 A* conf
Group and Shuffle: Efficient Structured Orthogonal Parametrization.
NeurIPS
Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim V. Rakhuba
2024 J jnl
Group and Shuffle: Efficient Structured Orthogonal Parametrization.
CoRR
Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim V. Rakhuba
2023 — conf
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical Images.
MICCAI (1)
Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
2023 J jnl
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images.
CoRR
Mikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev
2022 — conf
CLEF: Contrastive Learning of Equivariant Features in CT Images.
FLARE@MICCAI
Ilya Kuleshov, Mikhail Goncharov, Vera Soboleva
2021 — conf
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm.
SSCI
Vera Soboleva, Oleg Shipitko
2021 J jnl
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection Algorithm.
CoRR
Vera Soboleva, Oleg Shipitko