Search Results for author: Oles Dobosevych

Found 9 papers, 6 papers with code

Is Mapping Necessary for Realistic PointGoal Navigation?

1 code implementation CVPR 2022 Ruslan Partsey, Erik Wijmans, Naoki Yokoyama, Oles Dobosevych, Dhruv Batra, Oleksandr Maksymets

However, for PointNav in a realistic setting (RGB-D and actuation noise, no GPS+Compass), this is an open question; one we tackle in this paper.

Data Augmentation Navigate +3

OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching

1 code implementation19 Apr 2022 Ostap Viniavskyi, Mariia Dobko, Dmytro Mishkin, Oles Dobosevych

We present OpenGlue: a free open-source framework for image matching, that uses a Graph Neural Network-based matcher inspired by SuperGlue \cite{sarlin20superglue}.

Towards realistic symmetry-based completion of previously unseen point clouds

1 code implementation5 Jan 2022 Taras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko

3D scanning is a complex multistage process that generates a point cloud of an object typically containing damaged parts due to occlusions, reflections, shadows, scanner motion, specific properties of the object surface, imperfect reconstruction algorithms, etc.

Object Point Cloud Completion

Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration

2 code implementations17 Nov 2020 Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts

This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine rectification or focal length and absolute orientation.

Camera Auto-Calibration Scene Labeling

Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images

1 code implementation1 Jul 2020 Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych

First, we generate pseudo segmentation labels of abnormal regions in the training images through a supervised classification model enhanced with a regularization procedure.

Relation Network Segmentation +3

NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation

no code implementations13 Jun 2020 Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych

We propose a novel approach to weakly supervised semantic segmentation, which consists of three consecutive steps.

Missing Labels Segmentation +2

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images

1 code implementation23 Jan 2020 Mariia Dobko, Bohdan Petryshak, Oles Dobosevych

For stenosis score classification, the method shows improved performance comparing to previous works, achieving 80% accuracy on the patient level.

General Classification

On recognition of Cyrillic Text

no code implementations NeurIPS Workshop Document_Intelligen 2019 Kostiantyn Liepieshov, Oles Dobosevych

We introduce the largest (among publicly available) dataset for Cyrillic Handwritten Text Recognition and the first dataset for Cyrillic Text in the Wild Recognition, as well as suggest a method for recognizing Cyrillic Handwritten Text and Text in the Wild.

Handwritten Text Recognition

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