Blink Detection Based on the Weighted Gradient Descriptor. - Krystian Radlak; Bogdan Smolka (CORES, 2013)

Trimmed Non-local Means Technique for Mixed Noise Removal in Color Images. - Krystian Radlak; Bogdan Smolka (ISM, 2013)

Adaptive Non-local Means Filtering for Speckle Noise Reduction. - Krystian Radlak; Bogdan Smolka (ICCVG, 2014)

Visualization enhancement of segmented images using genetic algorithm. - Krystian Radlak; Bogdan Smolka (ICMCS, 2014)

Escaping path approach for speckle noise reduction. - Marek Szczepanski; Krystian Radlak (ICMV, 2014)

Comparison of Hand Feature Points Detection Methods. - Tomasz Grzejszczak; Adam Galuszka; Michal Niezabitowski; Krystian Radlak (DoCEIS, 2014)

Gaze direction estimation from static images. - Krystian Radlak; Michal Kawulok; Bogdan Smolka; Natalia Radlak (MMSP, 2014)

Integration of robotic arm manipulator with computer vision in a project-based learning environment. - Krystian Radlak; Marcin Fojcik (FIE, 2015)

Adaptive Vision Studio - Educational tool for image processing learning. - Krystian Radlak; Mariusz Frackiewicz; Marek Szczepanski; Michal Kawulok; Michal Czardybon (FIE, 2015)

Escaping Path Approach with Extended Neighborhood for Speckle Noise Reduction. - Marek Szczepanski; Krystian Radlak; Adam Popowicz (IbPRIA, 2015)

Silesian Deception Database: Presentation and Analysis. - Krystian Radlak; Maciej Bozek; Bogdan Smolka (WMDD@ICMI, 2015)

Automated recognition of facial expressions authenticity. - Krystian Radlak; Bogdan Smolka (ICMI, 2016)

Static Posed Versus Genuine Smile Recognition. - Krystian Radlak; Natalia Radlak; Bogdan Smolka (CORES, 2017)

Organization of ML-based product development as per ISO 26262. - Krystian Radlak; Piotr Serwa; Michal Szczepankiewicz; Tim Jones (CoRR, 2019)

Organization of machine learning based product development as per ISO 26262 and ISO/PAS 21448. - Krystian Radlak; Michal Szczepankiewicz; Tim Jones; Piotr Serwa (PRDC, 2020)

Deep Learning Based Switching Filter for Impulsive Noise Removal in Color Images. - Krystian Radlak; Lukasz Malinski; Bogdan Smolka (Sensors, 2020)

Improving the detection of noisy labels in image datasets using modified Confidence Learning. - Adam Popowicz; Krystian Radlak; Slawomir Lasota 002; Karolina Szczepankiewicz; Michal Szczepankiewicz (MMAR, 2022)

Implementation and analysis of sparse random search adversarial attack. - Piotr Satala; Krystian Radlak (MMAR, 2022)

A Statistical View on Automated Driving System Safety Architectures. - Rainer Faller; Krystian Radlak (SAFECOMP Workshops, 2022)

Testing and Verification of the Deep Neural Networks Against Sparse Pixel Defects. - Michal Szczepankiewicz; Krystian Radlak; Karolina Szczepankiewicz; Adam Popowicz; Pawel Zawistowski (SAFECOMP Workshops, 2022)

Combating noisy labels in object detection datasets. - Krystian Chachula; Adam Popowicz; Jakub Lyskawa; Bartlomiej Olber; Piotr Fratczak; Krystian Radlak (CoRR, 2022)

Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns. - Bartlomiej Olber; Krystian Radlak; Adam Popowicz; Michal Szczepankiewicz; Krystian Chachula (CVPR, 2023)

Detecting Out-of-Distribution Objects Using Neuron Activation Patterns. - Bartlomiej Olber; Krystian Radlak; Krystian Chachula; Jakub Lyskawa; Piotr Fratczak (ECAI, 2023)

ROS-related Robotic Systems Development with V-model-based Application of MeROS Metamodel. - Tomasz Winiarski; Jan Kaniuka; Daniel Gieldowski; Jakub Ostrysz; Krystian Radlak; Dmytro Kushnir (CoRR, 2025)