| 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 | 446 | 2018 |
| 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 | 104 | 2020 |
| 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 | 85 | 2017 |
| 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 | 48 | 2018 |
| 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 | 39 | 2018 |
| Recovering 6D Object Pose: A Review and Multi-modal Analysis C Sahin, TK Kim ECCV workshop on ACVR, 2018 | 24 | 2018 |
| 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 | 21 | 2019 |
| 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 | 16 | 2017 |
| 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 | 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 |
| Sixd challenge 2017 T Hodan, F Michel, C Sahin, TK Kim, J Matas, C Rother | 8 | 2017 |
| 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 | 4 | |
| Cmd-net: Self-supervised category-level 3d shape denoising through canonicalization C Sahin Applied Sciences 12 (20), 10474, 2022 | 2 | 2022 |
| Performance improvement in VSLAM using stabilized feature points C Şahin, M Ünel Mathematical and Computational Applications 18 (3), 361-372, 2013 | 1 | 2013 |
| Under Vehicle Perception for High Level Safety Measures Using a Catadioptric Camera System C Sahin, M Unel IECON, 2013 | 1 | 2013 |
| Recovering 6D object pose at the level of instances and categories C Sahin Imperial College London, 2019 | | 2019 |
| 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 |
| 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 |
Tae-Kyun (T-K) KimKAIST在 kaist.ac.kr 的电子邮件经过验证
