4 citations · 9 across the 8 of their papers we have counts for
8 papers
Detecting 3D Line Segments for 6DoF Pose Estimation with Limited Data
Matej Mok, Lukáš Gajdošech, Michal Mesároš +2
The task of 6DoF object pose estimation is one of the fundamental problems of 3D vision with many practical applications such as industrial automation. Traditional deep learning ap…
Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
Damian Harenčák, Lukáš Gajdošech, Martin Madaras
Collaborative training of a machine learning model comes with a risk of sharing sensitive or private data. Federated learning offers a way of collectively training a single global…
Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks
Lukáš Gajdošech, Hassan Ali, Jan-Gerrit Habekost +3
Datasets for object detection often do not account for enough variety of glasses, due to their transparent and reflective properties. Specifically, open-vocabulary object detectors…
Enhancement of 3D Camera Synthetic Training Data with Noise Models
Katarína Osvaldová, Lukáš Gajdošech, Viktor Kocur +1
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and applying it on synthetic training data. We compi…
Supersampling of Data from Structured-light Scanner with Deep Learning
Martin Melicherčík, Lukáš Gajdošech, Viktor Kocur +1
This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology. Two deep learning models FDSR and DKN are modified to work…
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech +1
Teeth segmentation is an essential task in dental image analysis for accurate diagnosis and treatment planning. While supervised deep learning methods can be utilized for teeth seg…
Automatic Estimation of Anthropometric Human Body Measurements
Dana Škorvánková, Adam Riečický, Martin Madaras
Research tasks related to human body analysis have been drawing a lot of attention in computer vision area over the last few decades, considering its potential benefits on our day-…
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
Lukáš Gajdošech, Viktor Kocur, Martin Stuchlík +2
An automated robotic system needs to be as robust as possible and fail-safe in general while having relatively high precision and repeatability. Although deep learning-based method…