6 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors
Mustafa Sakhai, Szymon Mazurek, Jakub Caputa +2
This study examines the effectiveness of Spiking Neural Networks (SNNs) paired with Dynamic Vision Sensors (DVS) to improve pedestrian detection in adverse weather, a significant c…
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification
Jan Krupiński, Maciej Wielgosz, Szymon Mazurek +12
This paper presents a computer-aided cytology diagnosis system designed for animals, focusing on image quality assessment (IQA) using Convolutional Neural Networks (CNNs). The syst…
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology
Jakub Caputa, Maciej Wielgosz, Daria Łukasik +11
The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures. An additional co…
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis
Jakub Grzeszczyk, Michał Karwatowski, Daria Łukasik +11
This paper shows the machine learning system which performs instance segmentation of cytological images in veterinary medicine. Eleven cell types were used directly and indirectly…