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Journal Articles
- 2020
[j2]Caner Sahin
, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators. Image Vis. Comput. 96: 103898 (2020)- 2017
- [j1]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
A learning-based variable size part extraction architecture for 6D object pose recovery in depth images. Image Vis. Comput. 63: 38-50 (2017)
Conference and Workshop Papers
- 2018
- [c8]Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim:
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. BMVC 2018: 90 - [c7]Caner Sahin, Tae-Kyun Kim:
Recovering 6D Object Pose: A Review and Multi-modal Analysis. ECCV Workshops (6) 2018: 15-31 - [c6]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. ECCV (10) 2018: 19-35 - [c5]Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. ECCV Workshops (1) 2018: 589-600 - [c4]Caner Sahin, Tae-Kyun Kim:
Category-Level 6D Object Pose Recovery in Depth Images. ECCV Workshops (1) 2018: 665-681 - 2017
- [c3]Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, Tae-Kyun Kim:
Pose Guided RGBD Feature Learning for 3D Object Pose Estimation. ICCV 2017: 3876-3884 - 2016
- [c2]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
Iterative Hough Forest with Histogram of Control Points for 6 DoF object registration from depth images. IROS 2016: 4113-4118 - 2013
- [c1]Caner Sahin, Mustafa Unel:
Under vehicle perception for high level safety measures using a catadioptric camera system. IECON 2013: 4306-4311
Informal and Other Publications
- 2020
- [i9]Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators. CoRR abs/2001.10609 (2020) - 2019
- [i8]Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
Instance- and Category-level 6D Object Pose Estimation. CoRR abs/1903.04229 (2019) - 2018
- [i7]Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim:
Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios. CoRR abs/1806.03891 (2018) - [i6]Caner Sahin, Tae-Kyun Kim:
Category-level 6D Object Pose Recovery in Depth Images. CoRR abs/1808.00255 (2018) - [i5]Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother:
BOP: Benchmark for 6D Object Pose Estimation. CoRR abs/1808.08319 (2018) - [i4]Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas:
A Summary of the 4th International Workshop on Recovering 6D Object Pose. CoRR abs/1810.03758 (2018) - 2017
- [i3]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth. CoRR abs/1701.02166 (2017) - [i2]Caner Sahin, Tae-Kyun Kim:
Recovering 6D Object Pose: Multi-modal Analyses on Challenges. CoRR abs/1706.03285 (2017) - 2016
- [i1]Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim:
Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images. CoRR abs/1603.02617 (2016)
Coauthor Index
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