| Latent-class hough forests for 3d object detection and pose estimation A Tejani, D Tang, R Kouskouridas, TK Kim Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 349 | 2014 |
| 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 | 267 | 2016 |
| 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 | 90 | 2017 |
| 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 | 72 | 2017 |
| On the evaluation of illumination compensation algorithms V Vonikakis, R Kouskouridas, A Gasteratos Multimedia Tools and Applications 77, 9211-9231, 2018 | 64 | 2018 |
| 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 | 60 | 2016 |
| 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 | 59 | 2013 |
| 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 | 53 | 2009 |
| 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 | 44 | 2012 |
| 6d object detection and next-best-view prediction in the crowd A Doumanoglou, R Kouskouridas, S Malassiotis, TK Kim CVPR 1, 2, 2016 | 26 | 2016 |
| 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 | 22 | 2011 |
| 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 | 17 | 2017 |
| 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 | 16 | 2016 |
| 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 | 13 | 2018 |
| Efficient representation and feature extraction for neural network-based 3D object pose estimation R Kouskouridas, A Gasteratos, C Emmanouilidis Neurocomputing 120, 90-100, 2013 | 13 | 2013 |
| Evaluation of two-part algorithms for objects’ depth estimation R Kouskouridas, A Gasteratos, E Badekas IET computer vision 6 (1), 70-78, 2012 | 13 | 2012 |
| Simultaneous visual object recognition and position estimation using SIFT R Kouskouridas, E Badekas, A Gasteratos Intelligent Robotics and Applications, 866-875, 2009 | 11 | 2009 |
| 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 | 10 | 2015 |
| 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 | 9 | 2016 |
| 6DoF object pose measurement by a monocular manifold-based pattern recognition technique R Kouskouridas, K Charalampous, A Gasteratos Measurement Science and Technology 23 (11), 114005, 2012 | 9 | 2012 |
Tae-Kyun (T-K) KimKAIST確認したメール アドレス: kaist.ac.kr