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Rigas Kouskouridas
Rigas Kouskouridas
Computer Vision Researcher @ Helsing.ai
Verified email at helsing.ai
Title
Cited by
Cited by
Year
Latent-class hough forests for 3d object detection and pose estimation
A Tejani, D Tang, R Kouskouridas, TK Kim
European Conference on Computer Vision, 462-477, 2014
2942014
Recovering 6D object pose and predicting next-best-view in the crowd
A Doumanoglou, R Kouskouridas, S Malassiotis, TK Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1982016
Pose guided RGBD feature learning for 3D object pose estimation
V Balntas, A Doumanoglou, C Sahin, J Sock, R Kouskouridas, TK Kim
Proceedings of the IEEE international conference on computer vision, 3856-3864, 2017
662017
Latent-class hough forests for 6 DoF object pose estimation
A Tejani, R Kouskouridas, A Doumanoglou, D Tang, TK Kim
IEEE transactions on pattern analysis and machine intelligence 40 (1), 119-132, 2017
552017
Siamese regression networks with efficient mid-level feature extraction for 3d object pose estimation
A Doumanoglou, V Balntas, R Kouskouridas, TK Kim
arXiv preprint arXiv:1607.02257, 2016
542016
A biologically inspired scale-space for illumination invariant feature detection
V Vonikakis, D Chrysostomou, R Kouskouridas, A Gasteratos
Measurement Science and Technology 24 (7), 074024, 2013
512013
ACROBOTER: a ceiling based crawling, hoisting and swinging service robot platform
G Stepan, A Toth, L Kovacs, G Bolmsjo, G Nikoleris, D Surdilovic, ...
Beyond gray droids: domestic robot design for the 21st century workshop at …, 2009
492009
Improving the robustness in feature detection by local contrast enhancement
V Vonikakis, D Chrysostomou, R Kouskouridas, A Gasteratos
2012 IEEE International Conference on Imaging Systems and Techniques …, 2012
332012
On the evaluation of illumination compensation algorithms
V Vonikakis, R Kouskouridas, A Gasteratos
Multimedia Tools and Applications 77 (8), 9211-9231, 2018
282018
6D object detection and next-best-view prediction in the crowd
A Doumanoglou, R Kouskouridas, S Malassiotis, TK Kim
CVPR 1, 2, 2016
232016
Guiding a robotic gripper by visual feedback for object manipulation tasks
R Kouskouridas, A Amanatiadis, A Gasteratos
Mechatronics (ICM), 2011 IEEE International Conference on, 433-438, 2011
212011
Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images
C Sahin, R Kouskouridas, TK Kim
arXiv preprint arXiv:1603.02617, 2016
182016
Evaluation of two-part algorithms for objects’ depth estimation
R Kouskouridas, A Gasteratos, E Badekas
IET computer vision 6 (1), 70-78, 2012
142012
Efficient representation and feature extraction for neural network-based 3D object pose estimation
R Kouskouridas, A Gasteratos, C Emmanouilidis
Neurocomputing 120, 90-100, 2013
132013
A Summary of the 4th International Workshop on~ Recovering 6D Object Pose
T Hodan, R Kouskouridas, TK Kim, F Tombari, K Bekris, B Drost, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
102018
Computer Vision—ECCV 2014
A Tejani, D Tang, R Kouskouridas, TK Kim
Springer, 2014
102014
Latent-class hough forests for 6 dof object pose estimation
R Kouskouridas, A Tejani, A Doumanoglou, D Tang, TK Kim
arXiv preprint arXiv:1602.01464, 2016
92016
A learning-based variable size part extraction architecture for 6D object pose recovery in depth images
C Sahin, R Kouskouridas, TK Kim
Image and Vision Computing 63, 38-50, 2017
82017
A learning-based variable size part extraction architecture for 6D object pose recovery in depth
C Sahin, R Kouskouridas, TK Kim
arXiv preprint arXiv:1701.02166, 2017
82017
What, Where and How? Introducing pose manifolds for industrial object manipulation
R Kouskouridas, A Amanatiadis, SA Chatzichristofis, A Gasteratos
Expert Systems with Applications 42 (21), 8123-8133, 2015
82015
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Articles 1–20