Publikacje

Hierarchical data generator based on tree-structured stick breaking process for benchmarking clustering methods

Łukasz P. Olech, Michał Spytkowski, Halina Kwaśnicka, Zbigniew Michalewicz

Information Sciences · 2021

Morphological analysis of histopathological images using deep learning

Artur Zawisza, Martin Tabakow, Konrad Karanowski, Krzysztof J Galus

ICCCI 2021 · 2021

Pix2Trips - a system supporting small groups of urban tourists

Halina Kwaśnicka, Tsvetan Ovedenski

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, September 2-5, online · 2021

How to catch them all? Enhanced data collection for emotion recognition in the field

Maciej Dzieżyc, Joanna Komoszyńska, Stanisław Saganowski, Magda Boruch, Jakub Dziwiński, Katarzyna Jabłońska, Dominika Kunc, Przemysław Kazienko

2021

Generative modeling in application to point cloud completion

Maciej Zamorski, Maciej M Zięba, Jerzy Świątek

ICAISC 2020 · 2020

Hypernetwork approach to generating point clouds

Maciej Zamorski, Maciej M Zięba, Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Tomasz Trzciński

Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event · 2020

Comparison of aggregation functions for 3D point clouds classification

Maciej Zamorski, Maciej M Zięba, Jerzy Świątek

ACIIDS 2020 · 2020

UCSG-NET - Unsupervised Discovering of Constructive Solid Geometry Tree

Kacper Kania, Maciej M Zięba, Tomasz Kajdanowicz

NeurIPS 2020 · 2020

Post-training quantization methods for deep learning models

Maciej M Zięba, Piotr Kluska

ACIIDS 2020 · 2020

Evolutionary algorithms and their applications to engineering problems

Halina Kwaśnicka, Adam Słowik

Neural Computing & Applications · 2020

Adversarial autoencoders for compact representations of 3D point clouds

Maciej Zamorski, Maciej M Zięba, Piotr J Klukowski, Rafał C Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzciński

Computer Vision and Image Understanding · 2020

Semi-supervised representation learning for 3D point clouds

Adrian Zdobylak, Maciej M Zięba

ACIIDS 2020 · 2020

Generative Adversarial Networks: recent developments

Maciej Zamorski, Adrian Zdobylak, Maciej M Zięba, Jerzy Świątek

ICAISC 2019 · 2019

A new F-score gradient-based training rule for the linear model

Mariusz T. Paradowski, Michał Spytkowski, Halina Kwaśnicka

Pattern Analysis and Applications · 2019

Improving real-time performance of U-Nets for machine vision in laser process control

Przemysław Dolata, Jacek Reiner

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems · 2019

Conditional invertible flow for point cloud generation

Maciej Zamorski, Maciej M Zięba, Michał Stypułkowski, Jan Chorowski

2019

Semi-supervised learning with Bidirectional GANs

Maciej Zamorski, Maciej M Zięba

ACIIDS 2019 · 2019

Sztuczna inteligencja - sukcesy i obawy

Halina Kwaśnicka

Innowacje technologiczne w teorii i praktyce · 2019

Bridging the semantic gap in image and video analysis

Halina Kwaśnicka, Lakhmi C Jain

Intelligent Systems Reference Library · 2018

Semantic gap in image and video analysis

Halina Kwaśnicka

Bridging the semantic gap in image and video analysis · 2018