10 citations · 15 across the 6 of their papers we have counts for
6 papers
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…
Pointing-Guided Target Estimation via Transformer-Based Attention
Luca Müller, Hassan Ali, Philipp Allgeuer +2
Deictic gestures, like pointing, are a fundamental form of non-verbal communication, enabling humans to direct attention to specific objects or locations. This capability is essent…
Efficient Vision-based Vehicle Speed Estimation
Andrej Macko, Lukáš Gajdošech, Viktor Kocur
This paper presents a computationally efficient method for vehicle speed estimation from traffic camera footage. Building upon previous work that utilizes 3D bounding boxes derived…
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…
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…
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…