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Alicja Kwasniewska
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2020 – today
- 2024
- [j3]Maria Ferlin
, Sylwia Majchrowska
Quantifying inconsistencies in the Hamburg Sign Language Notation System. Expert Syst. Appl. 256: 124911 (2024) - 2023
- [j2]Maciej Szankin
Thermal Image Processing for Respiratory Estimation from Cubical Data with Expandable Depth. J. Imaging 9(9): 184 (2023) - [c20]Alicja Kwasniewska, Anastacia MacAllister, Rey Nicolas, Javier Garzás:
Multi-sensor Ensemble-guided Attention Network for Aerial Vehicle Perception Beyond Visible Spectrum. CVPR Workshops 2023: 345-353 - 2022
- [c19]Kamil Kaczor, Pawel Nadachowski
Comparison of image pre-processing methods in liver segmentation task. HSI 2022: 1-5 - [c18]Alicja Kwasniewska, Sharath Raghava, Carlos Dávila, Mikael Sevenier, David Gamba, Jacek Ruminski:
Preferred Benchmarking Criteria for Systematic Taxonomy of Embedded Platforms (STEP) in Human System Interaction Systems. HSI 2022: 1-7 - 2021
- [c17]Alicja Kwasniewska, Maciej Szankin, Jacek Ruminski
Improving Accuracy of Respiratory Rate Estimation by Restoring High Resolution Features With Transformers and Recursive Convolutional Models. CVPR Workshops 2021: 3857-3867 - [c16]Maciej Szankin, Alicja Kwasniewska, Natalia Glowacka, Jacek Ruminski
Fully Automated AI-powered Contactless Cough Detection based on Pixel Value Dynamics Occurring within Facial Regions. HSI 2021: 1-7 - 2020
- [j1]Alicja Kwasniewska, Jacek Ruminski
Super-resolved thermal imagery for high-accuracy facial areas detection and analysis. Eng. Appl. Artif. Intell. 87 (2020)
2010 – 2019
- 2019
- [c15]Alicja Kwasniewska, Maciej Szankin, Jacek Ruminski
Evaluating Accuracy of Respiratory Rate Estimation from Super Resolved Thermal Imagery. EMBC 2019: 2744-2747 - [c14]Jacek Ruminski
Evaluation of Facial Pulse Signals using Deep Neural Net Models. EMBC 2019: 3399-3403 - [c13]Maciej Szankin, Alicja Kwasniewska, Jacek Ruminski
Influence of Thermal Imagery Resolution on Accuracy of Deep Learning based Face Recognition. HSI 2019: 28-33 - [c12]Alicja Kwasniewska, Maciej Szankin, Mateusz Ozga, Jason Wolfe, Arun Das
Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters. IECON 2019: 96-101 - 2018
- [c11]Alicja Kwasniewska
Pose-Invariant Face Detection by Replacing Deep Neurons with Capsules for Thermal Imagery in Telemedicine. EMBC 2018: 778-781 - [c10]Maciej Szankin, Alicja Kwasniewska
Long Distance Vital Signs Monitoring with Person Identification for Smart Home Solutions. EMBC 2018: 1558-1561 - [c9]Alicja Kwasniewska
Remote Estimation of Video-Based Vital Signs in Emotion Invocation Studies. EMBC 2018: 4872-4876 - [c8]Krzysztof Czuszynski, Alicja Kwasniewska
Optical Sensor Based Gestures Inference Using Recurrent Neural Network in Mobile Conditions. HSI 2018: 101-106 - [c7]Mingshan Wang, Tejaswini Sirlapu, Alicja Kwasniewska
Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions. HSI 2018: 139-145 - [c6]Maciej Szankin, Alicja Kwasniewska
Road Condition Evaluation Using Fusion of Multiple Deep Models on Always-On Vision Processor. IECON 2018: 3273-3279 - [c5]Libin Tang, Harish Subramony, Weian Chen, Jimin Ha, Hassnaa Moustafa, Tejaswini Sirlapu, Gauri Deshpande, Alicja Kwasniewska
Edge Assisted Efficient Data Annotation for Realtime Video Big Data. IECON 2018: 6197-6201 - 2017
- [c4]Alicja Kwasniewska
The motion influence on respiration rate estimation from low-resolution thermal sequences during attention focusing tasks. EMBC 2017: 1421-1424 - [c3]Alicja Kwasniewska
Deep features class activation map for thermal face detection and tracking. HSI 2017: 41-47 - 2016
- [c2]Alicja Kwasniewska
Real-time facial feature tracking in poor quality thermal imagery. HSI 2016: 504-510 - 2015
- [c1]Alicja Kwasniewska
Quality of graphical markers for the needs of eyewear devices. HSI 2015: 388-395
Coauthor Index
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