8 citations · 11 across the 10 of their papers we have counts for
7 papers · 1 filter
Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv +1
This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine recti…
LID 2020: The Learning from Imperfect Data Challenge Results
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng +32
Learning from imperfect data becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotate…
Direct and inverse spectral problems for rank-one perturbations of self-adjoint operators
Oles Dobosevych, Rostyslav Hryniv
For a given self-adjoint operator with discrete spectrum, we completely characterize possible eigenvalues of its rank-one perturbations~ and discuss the inverse problem of r…
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych
Deep Convolutional Neural Networks have proven effective in solving the task of semantic segmentation. However, their efficiency heavily relies on the pixel-level annotations that…
Spectra of rank-one perturbations of self-adjoint operators
Oles Dobosevych, Rostyslav Hryniv
We characterize possible spectra of rank-one perturbations B of a self-adjoint operator A with discrete spectrum and, in particular, prove that the spectrum of B may include any nu…
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation
Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych
We propose a novel approach to weakly supervised semantic segmentation, which consists of three consecutive steps. The first two steps extract high-quality pseudo masks from image-…
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images
Mariia Dobko, Bohdan Petryshak, Oles Dobosevych
To decrease patient waiting time for diagnosis of the Coronary Artery Disease, automatic methods are applied to identify its severity using Coronary Computed Tomography Angiography…