Researcher
Ivana Shopovska
- Keywords:image processing, Neural Networks, computer vision
- Disciplines:Computer vision, Analogue and digital signal processing, Pattern recognition and neural networks
Affiliations
- Department of Telecommunications and information processing (Department)
Member
From8 Jan 2015 → Today
Publications
1 - 10 of 12
- Deep learning tone-mapping and demosaicing for automotive vision systems(2023)
Authors: Ana Stojkovic, Jan Aelterman, David Van Hamme, Ivana Shopovska, Wilfried Philips
- Low-complexity deep HDR fusion and tone mapping for urban traffic scenes(2023)
Authors: Ivana Shopovska, Jan Aelterman, David Van Hamme, Wilfried Philips
Number of pages: 1 - Automatic labeling of vulnerable road users in multi-sensor data(2021)
Authors: Martin Dimitrievski, Ivana Shopovska, David Van Hamme, Peter Veelaert, Wilfried Philips
Pages: 2623 - 2630 - Efficient training procedures for multi-spectral demosaicing(2020)
Authors: Ivana Shopovska, Ljubomir Jovanov, Wilfried Philips
Pages: 2850 - 2873 - Weakly supervised deep learning method for vulnerable road user detection in FMCW radar(2020)
Authors: Martin Dimitrievski, Ivana Shopovska, David Van Hamme, Peter Veelaert, Wilfried Philips
Number of pages: 1 - Multi-focus image fusion based on edge-preserving filters(2019)
Authors: Yifan Xiao, Ivana Shopovska, Peter Veelaert, Wilfried Philips
Number of pages: 1 - Deep visible and thermal image fusion for enhanced pedestrian visibility(2019)
Authors: Ivana Shopovska, Ljubomir Jovanov, Wilfried Philips
- The effect of the color filter array layout choice on state-of-the-art demosaicing(2019)
Authors: Ana Stojkovic, Ivana Shopovska, Hiep Luong, Jan Aelterman, Ljubomir Jovanov, Wilfried Philips
- RGB-NIR demosaicing using deep residual U-Net(2018)
Authors: Ivana Shopovska, Ljubomir Jovanov, Wilfried Philips
Pages: 297 - 300 - A hybrid fusion based frontal-lateral collaborative pedestrian detection and tracking(2017)
Authors: Ivana Shopovska, Ljubomir Jovanov, Wilfried Philips, Merwan Birem, Kris Lehaen
Number of pages: 1