11 citations · 11 across the 5 of their papers we have counts for
5 papers
HAPS: Rethinking Image Similarity for Virtual Staining
Fedor Gubanov, Svetlana Illarionova, Vlad Kozlovskiy +6
Virtual staining of histopathology images (e.g., H&E-IHC) is an emerging tool in digital pathology, enabling faster and cheaper workflows by synthesizing target stains from routine…
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
Nikolay Patakin, Mikhail Romanov, Anna Vorontsova +2
Nowadays, robotics, AR, and 3D modeling applications attract considerable attention to single-view depth estimation (SVDE) as it allows estimating scene geometry from a single RGB…
Towards General Purpose Geometry-Preserving Single-View Depth Estimation
Mikhail Romanov, Nikolay Patatkin, Anna Vorontsova +3
Single-view depth estimation (SVDE) plays a crucial role in scene understanding for AR applications, 3D modeling, and robotics, providing the geometry of a scene based on a single…
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev, Konstantin Sofiiuk, Danila Rukhovich +3
In recent years generative models of visual data have made a great progress, and now they are able to produce images of high quality and diversity. In this work we study representa…
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
Nikita Durasov, Mikhail Romanov, Valeriya Bubnova +2
Monocular depth estimation is the task of obtaining a measure of distance for each pixel using a single image. It is an important problem in computer vision and is usually solved u…