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Caner Sahin
Caner Sahin
Istanbul Medeniyet University, Gemsas
medeniyet.edu.tr의 이메일 확인됨 - 홈페이지
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Bop: Benchmark for 6d object pose estimation
T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
4222018
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators
C Sahin, G Garcia-Hernando, J Sock, TK Kim
Image and Vision Computing 96, 103898, 2020
902020
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
862017
Category-level 6d object pose recovery in depth images
C Sahin, TK Kim
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
472018
Multi-task deep networks for depth-based 6d object pose and joint registration in crowd scenarios
J Sock, KI Kim, C Sahin, TK Kim
arXiv preprint arXiv:1806.03891, 2018
372018
Recovering 6D Object Pose: A Review and Multi-modal Analysis
C Sahin, TK Kim
ECCV workshop on ACVR, 2018
232018
Instance-and category-level 6d object pose estimation
C Sahin, G Garcia-Hernando, J Sock, TK Kim
RGB-D Image Analysis and Processing, 243-265, 2019
202019
Iterative hough forest with histogram of control points for 6 dof object registration from depth images
C Sahin, R Kouskouridas, TK Kim
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
172016
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
162017
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
132018
Sixd challenge 2017
T Hodan, F Michel, C Sahin, TK Kim, J Matas, C Rother
URL http://cmp. felk. cvut. cz/sixd/challenge, 2017
72017
Multi-task deep networks for depth-based 6D object pose and joint registration in crowd scenarios. arXiv 2018
J Sock, KI Kim, C Sahin, TK Kim
arXiv preprint arXiv:1806.03891, 0
5
CMD-Net: Self-Supervised Category-Level 3D Shape Denoising through Canonicalization
C Sahin
Applied Sciences 12 (20), 10474, 2022
22022
Performance improvement in VSLAM using stabilized feature points
C Şahin, M Ünel
Mathematical and Computational Applications 18 (3), 361-372, 2013
12013
Under Vehicle Perception for High Level Safety Measures Using a Catadioptric Camera System
C Sahin, M Unel
IECON, 2013
12013
Multi-Task Learning for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios
J Sock, KI Kim, C Sahin, TK Kim
Proc. of British Machine Vision Conference (BMVC), 2018
2018
Recovering 6D object pose at the level of instances and categories
C Sahin
Imperial College London, 2018
2018
Tüm yönlü kamera kullanan bir mobil robot ile araç altı görüntüleme sistemi
C Şahin, M Ünel
İnönü Üniversitesi, 2013
2013
Metric and appearance based visual SLAM for mobile robots
C Şahin
2013
Görsel tabanlı atalet ölçüm ünitesi ile quadrotor durum tahmini ve navigasyonu
C Şahin, M Ünel
Niğde Üniversitesi, 2012
2012
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학술자료 1–20