Caner Sahin

According to our database, Caner Sahin authored at least 13 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators.

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim

Image Vis. Comput., 2020

2019

Instance- and Category-level 6D Object Pose Estimation.

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim

CoRR, 2019

2018

Recovering 6D Object Pose: A Review and Multi-modal Analysis.

Caner Sahin, Tae-Kyun Kim

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Category-Level 6D Object Pose Recovery in Depth Images.

Caner Sahin, Tae-Kyun Kim

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

BOP: Benchmark for 6D Object Pose Estimation.

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

Proceedings of the Computer Vision - ECCV 2018, 2018

A Summary of the 4th International Workshop on Recovering 6D Object Pose.

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios.

Juil Sock, Kwang In Kim, Caner Sahin, Tae-Kyun Kim

Proceedings of the British Machine Vision Conference 2018, 2018

2017

A learning-based variable size part extraction architecture for 6D object pose recovery in depth images.

Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim

Image Vis. Comput., 2017

A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth.

Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim

CoRR, 2017

Recovering 6D Object Pose: Multi-modal Analyses on Challenges.

Caner Sahin, Tae-Kyun Kim

CoRR, 2017

Pose Guided RGBD Feature Learning for 3D Object Pose Estimation.

Vassileios Balntas, Andreas Doumanoglou, Caner Sahin, Juil Sock, Rigas Kouskouridas, Tae-Kyun Kim

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Iterative Hough Forest with Histogram of Control Points for 6 DoF object registration from depth images.

Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2013

Under vehicle perception for high level safety measures using a catadioptric camera system.

Caner Sahin, Mustafa Unel

Proceedings of the IECON 2013, 2013