14 citations · 26 across the 12 of their papers we have counts for
12 papers
Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models
Sergi Masip, Alicja Dobrzeniecka, Jonathan Swinnen +4
Traditionally, continual learning has assumed access to labeled data, yet many real-world applications -- such as lifelong robotics -- require models to adapt continuously from unl…
Beyond Classification: Dynamic Adapter Routing for Continual Multimodal Retrieval
Alicja Dobrzeniecka, Filip Szatkowski, Sebastian Cygert +2
While retrieval is a core function of vision-language models, continually updating these models for retrieval tasks remains critically underexplored. Existing work often approaches…
ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry
Dawid Uchal, Marcin Możejko, Krzysztof Gogolewski +12
We present ImmuVis, a family of efficient foundation models for imaging mass cytometry (IMC), a high-throughput multiplex imaging technology that handles molecular marker measureme…
Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
Natalia Ożegalska-Łukasik, Szymon Łukasik
Political beliefs vary significantly across different countries, reflecting distinct historical, cultural, and institutional contexts. These ideologies, ranging from liberal democr…
PL-Guard: Benchmarking Language Model Safety for Polish
Aleksandra Krasnodębska, Karolina Seweryn, Szymon Łukasik +1
Despite increasing efforts to ensure the safety of large language models (LLMs), most existing safety assessments and moderation tools remain heavily biased toward English and othe…
Kolmogorov-Arnold networks for metal surface defect classification
Maciej Krzywda, Mariusz Wermiński, Szymon Łukasik +1
This paper presents the application of Kolmogorov-Arnold Networks (KAN) in classifying metal surface defects. Specifically, steel surfaces are analyzed to detect defects such as cr…
SoccerNet 2024 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +81
The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple t…
Consumer Transactions Simulation through Generative Adversarial Networks
Sergiy Tkachuk, Szymon Łukasik, Anna Wróblewska
In the rapidly evolving domain of large-scale retail data systems, envisioning and simulating future consumer transactions has become a crucial area of interest. It offers signific…
Text-Based Product Matching -- Semi-Supervised Clustering Approach
Alicja Martinek, Szymon Łukasik, Amir H. Gandomi
Matching identical products present in multiple product feeds constitutes a crucial element of many tasks of e-commerce, such as comparing product offerings, dynamic price optimiza…
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…
Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions
Natalia Ożegalska-Łukasik, Szymon Łukasik
In the contemporary interconnected world, the concept of cultural responsibility occupies paramount importance. As the lines between nations become less distinct, it is incumbent u…
LLM generated responses to mitigate the impact of hate speech
Jakub Podolak, Szymon Łukasik, Paweł Balawender +4
In this study, we explore the use of Large Language Models (LLMs) to counteract hate speech. We conducted the first real-life A/B test assessing the effectiveness of LLM-generated…