106 citations · 195 across the 9 of their papers we have counts for
10 papers
Patherea: Cell Detection and Classification for the 2020s
Dejan Štepec, Maja Jerše, Snežana Đokić +3
We present Patherea, a unified framework for point-based cell detection and classification that enables the development and fair evaluation of state-of-the-art methods. To support…
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
Álvaro García Faura, Dejan Štepec, Tomaž Martinčič +1
A key component towards an improved and fast cancer diagnosis is the development of computer-assisted tools. In this article, we present the solution that won the SegPC-2021 compet…
Vessel and Port Efficiency Metrics through Validated AIS data
Tomaz Martincic, Dejan Stepec, Joao Pita Costa +2
Automatic Identification System (AIS) data represents a rich source of information about maritime traffic and offers a great potential for data analytics and predictive modeling so…
Machine Learning based System for Vessel Turnaround Time Prediction
Dejan Stepec, Tomaz Martincic, Fabrice Klein +2
In this paper, we present a novel system for predicting vessel turnaround time, based on machine learning and standardized port call data. We also investigate the use of specific e…
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery
Dejan Stepec, Tomaz Martincic, Danijel Skocaj
In this paper, we present a ship detection pipeline for low-cost medium resolution satellite optical imagery obtained from ESA Sentinel-2 and Planet Labs Dove constellations. This…
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Dejan Stepec, Danijel Skocaj
Anomaly detection in visual data refers to the problem of differentiating abnormal appearances from normal cases. Supervised approaches have been successfully applied to different…
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Dejan Stepec, Danijel Skocaj
Detection of visual anomalies refers to the problem of finding patterns in different imaging data that do not conform to the expected visual appearance and is a widely studied prob…
Influence of segmentation on deep iris recognition performance
Juš Lozej, Dejan Štepec, Vitomir Štruc +1
Despite the rise of deep learning in numerous areas of computer vision and image processing, iris recognition has not benefited considerably from these trends so far. Most of the e…
Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild
Žiga Emeršič, Dejan Štepec, Vitomir Štruc +1
Identity recognition from ear images is an active field of research within the biometric community. The ability to capture ear images from a distance and in a covert manner makes e…
The Unconstrained Ear Recognition Challenge
Žiga Emeršič, Dejan Štepec, Vitomir Štruc +11
In this paper we present the results of the Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around the problem of person recognition from ear i…