Rigas Kouskouridas
Rigas Kouskouridas
Computer Vision Researcher @Scape
確認したメール アドレス: scape.io - ホームページ
タイトル
引用先
引用先
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
2092014
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
1152016
ACROBOTER: a ceiling based crawling, hoisting and swinging service robot platform
G Stepan, A Toth, LL Kovacs, G Bolmsjo, G Nikoleris, D Surdilovic, ...
Beyond gray droids: domestic robot design for the 21st century workshop at …, 2009
432009
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
392016
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
372017
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
362013
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
302017
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
222012
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
182011
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
152016
6D object detection and next-best-view prediction in the crowd
A Doumanoglou, R Kouskouridas, S Malassiotis, TK Kim
CVPR 1, 2, 2016
132016
Efficient representation and feature extraction for neural network-based 3D object pose estimation
R Kouskouridas, A Gasteratos, C Emmanouilidis
Neurocomputing 120, 90-100, 2013
122013
Evaluation of two-part algorithms for objects’ depth estimation
R Kouskouridas, A Gasteratos, E Badekas
IET computer vision 6 (1), 70-78, 2012
122012
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
Simultaneous visual object recognition and position estimation using SIFT
R Kouskouridas, E Badekas, A Gasteratos
Intelligent Robotics and Applications, 866-875, 2009
92009
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
Sparse pose manifolds
R Kouskouridas, K Charalampous, A Gasteratos
Autonomous Robots 37 (2), 191-207, 2014
82014
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), 0-0, 2018
72018
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
72017
A comparison framework for the evaluation of illumination compensation algorithms
V Vonikakis, R Kouskouridas, A Gasteratos
2013 IEEE international conference on imaging systems and techniques (IST …, 2013
52013
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