activity
20222024
most citedImproving Object Detection Quality in Football Through Super-Resolution Techniques

5 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 5 cited

Improving Object Detection Quality in Football Through Super-Resolution Techniques

Karolina Seweryn, Gabriel Chęć, Szymon Łukasik +1

This study explores the potential of super-resolution techniques in enhancing object detection accuracy in football. Given the sport's fast-paced nature and the critical importance…

cs.CV2023

Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives

Karolina Seweryn, Anna Wróblewska, Szymon Łukasik

Action scene understanding in soccer is a challenging task due to the complex and dynamic nature of the game, as well as the interactions between players. This article provides a c…

cs.CL2023★ 1 cited

Automating the Analysis of Institutional Design in International Agreements

Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn +4

This paper explores the automatic knowledge extraction of formal institutional design - norms, rules, and actors - from international agreements. The focus was to analyze the relat…

cs.CL2023★ 2 cited

Enriching language models with graph-based context information to better understand textual data

Albert Roethel, Maria Ganzha, Anna Wróblewska

A considerable number of texts encountered daily are somehow connected with each other. For example, Wikipedia articles refer to other articles via hyperlinks, scientific papers re…

cs.CL2022

Revisiting Distance Metric Learning for Few-Shot Natural Language Classification

Witold Sosnowski, Anna Wróblewska, Karolina Seweryn +1

Distance Metric Learning (DML) has attracted much attention in image processing in recent years. This paper analyzes its impact on supervised fine-tuning language models for Natura…

cs.CL2022

Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning

Witold Sosnowski, Karolina Seweryn, Anna Wróblewska +1

This paper presents an analysis regarding an influence of the Distance Metric Learning (DML) loss functions on the supervised fine-tuning of the language models for classification…

cs.CL2022

Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in Policy Design Analysis

Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn +4

This paper presents research on a prototype developed to serve the quantitative study of public policy design. This sub-discipline of political science focuses on identifying actor…