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Sotirios Papadopoulos
Sotirios Papadopoulos
PhD Candidate
Verified email at qmul.ac.uk
Title
Cited by
Cited by
Year
Deep autoencoders for attribute preserving face de-identification
P Nousi, S Papadopoulos, A Tefas, I Pitas
Signal Processing: Image Communication 81, 115699, 2020
302020
Neural vision-based semantic 3D world modeling
S Papadopoulos, I Mademlis, I Pitas
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer ¡K, 2021
112021
Carbon pools in a 77 year-old oak forest under conversion from coppice to high forest
P Ganatsas, M Tsakaldimi, T Karydopoulos, LM Petaloudi, ...
Sustainability 14 (21), 13764, 2022
82022
Semantic image segmentation guided by scene geometry
S Papadopoulos, I Mademlis, I Pitas
2021 IEEE International Conference on Autonomous Systems (ICAS), 1-5, 2021
72021
Long-term effect of different forest thinning intensity on carbon sequestration rates and potential uses in climate change mitigation actions
P Ganatsas, M Tsakaldimi, T Karydopoulos, A Papaemannuil, ...
Mitigation and Adaptation Strategies for Global Change 29 (1), 3, 2024
22024
Deep Reinforcement Learning with semi-expert distillation for autonomous UAV cinematography
A Sochopoulos, I Mademlis, E Charalampakis, S Papadopoulos, I Pitas
2023 IEEE International Conference on Multimedia and Expo (ICME), 1325-1330, 2023
22023
Leader and breakaway detection in racing sports videos
S Papadopoulos, C Symeonidis, I Pitas
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP ¡K, 2021
2021
2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW)| 978-1-6654-1967-3/20/$31.00© 2021 IEEE| DOI: 10.1109/WACVW52041. 2021.00028
S Al-stouhi, X Baró, PP Brahma, F Carton, W Carver, C Chen, B Chocot, ...
Motion Estimation
I Pitas, S Papadopoulos
Artificial Neural Networks Perceptron
P Kaplanoglou, S Papadopoulos, I Pitas
Multilayer Perceptron Backpropagation Summary
C Chadoulos, P Kaplanoglou, S Papadopoulos, I Pitas
Stereo and Multiview imaging summary
S Papadopoulos, I Pitas
Artificial Neural Networks Perceptron summary
P Kaplanoglou, S Papadopoulos, I Pitas
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Articles 1–13