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Anestis Zaganidis
Anestis Zaganidis
Researcher, Samsung Research UK (SAIC)
Verified email at samsung.com
Title
Cited by
Cited by
Year
Recurrent-octomap: Learning state-based map refinement for long-term semantic mapping with 3-d-lidar data
L Sun, Z Yan, A Zaganidis, C Zhao, T Duckett
IEEE Robotics and Automation Letters 3 (4), 3749-3756, 2018
932018
Integrating deep semantic segmentation into 3-d point cloud registration
A Zaganidis, L Sun, T Duckett, G Cielniak
IEEE Robotics and automation letters 3 (4), 2942-2949, 2018
862018
Semantic-assisted 3D normal distributions transform for scan registration in environments with limited structure
A Zaganidis, M Magnusson, T Duckett, G Cielniak
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
462017
Semantically Assisted Loop Closure in SLAM Using NDT Histograms
A Zaganidis, A Zerntev, T Duckett, G Cielniak
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
402019
Semi-supervised facial action unit intensity estimation with contrastive learning
E Sanchez, A Bulat, A Zaganidis, G Tzimiropoulos
Proceedings of the Asian Conference on Computer Vision, 2020
32020
Semi-supervised au intensity estimation with contrastive learning
E Sanchez, A Bulat, A Zaganidis, G Tzimiropoulos
arXiv preprint arXiv:2011.01864 8, 2020
32020
Utilizing semantics for fast and robust localisation and mapping in semi-structured environments
A Zaganidis
University of Lincoln, 2019
2019
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Articles 1–7