Evaluation of Deep Learning Strategies for Underwater Object Search. - Mateusz Knapik; Boguslaw Cyganek (SA, 2019)

Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images. - Mateusz Knapik; Boguslaw Cyganek (VISIGRAPP (5: VISAPP), 2019)

Driver's fatigue recognition based on yawn detection in thermal images. - Mateusz Knapik; Boguslaw Cyganek (Neurocomputing, 2019)

An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance. - Jan Gasienica-Józkowy; Mateusz Knapik; Boguslaw Cyganek (Integr. Comput. Aided Eng., 2021)

Fast eyes detection in thermal images. - Mateusz Knapik; Boguslaw Cyganek (Multim. Tools Appl., 2021)

New Thermal Automotive Dataset for Object Detection. - Tomasz Balon; Mateusz Knapik; Boguslaw Cyganek (FedCSIS (Position Papers), 2022)

Real-Time Detection of Small Objects in Automotive Thermal Images with Modern Deep Neural Architectures. - Tomasz Balon; Mateusz Knapik; Boguslaw Cyganek (FedCSIS (Communication Papers), 2023)

Estimation of absolute distance and height of people based on monocular view and deep neural networks for edge devices operating in the visible and thermal spectra. - Jan Gasienica-Józkowy; Boguslaw Cyganek; Mateusz Knapik; Szymon Glogowski; Lukasz Przebinda (FedCSIS, 2023)

Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices. - Jan Gasienica-Józkowy; Boguslaw Cyganek; Mateusz Knapik; Szymon Glogowski; Lukasz Przebinda (Inf., 2024)

Privacy-preserving people detection in the wild. - Mateusz Knapik; Boguslaw Cyganek (Pattern Anal. Appl., 2025)