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Robert Cupec
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2020 – today
- 2023
- [j14]Matej Dzijan
, Ratko Grbic
, Ivan Vidovic, Robert Cupec
:
Towards fully synthetic training of 3D indoor object detectors: Ablation study. Expert Syst. Appl. 232: 120723 (2023) - [j13]Valentin Simundic, Matej Dzijan
, Petra Pejic
, Robert Cupec
:
Introduction to Door Opening Type Classification Based on Human Demonstration. Sensors 23(6): 3093 (2023) - [c22]Robert Cupec, Ivan Vidovic, Valentin Simundic, Petra Pejic, Sergi Foix
, Guillem Alenyà:
Teaching a Robot Where Doors and Drawers Are and How To Handle Them. RO-MAN 2023: 2288-2294 - 2022
- [j12]Mateja Hrzica
, Petra Pejic
, Ivana Hartmann Tolic
, Robert Cupec
:
Detection of Household Furniture Storage Space in Depth Images. Sensors 22(18): 6774 (2022) - [c21]Petra Pejic, Valentin Simundic, Matej Dzijan, Robert Cupec:
Articulated Objects: From Detection to Manipulation - Survey. IAS 2022: 495-508 - 2021
- [j11]Mateja Hrzica
, Robert Cupec
, Ivan Petrovic
:
Active vision for 3D indoor scene reconstruction using a 3D camera on a pan-tilt mechanism. Adv. Robotics 35(3-4): 153-167 (2021) - [c20]Valentin Simundic, Dario Mihelcic, Damian Svirac, Petra Durovic, Robert Cupec:
Safety System for Industrial Robots Based on Human Detection Using an RGB-D Camera. MIPRO 2021: 1178-1184 - 2020
- [j10]Robert Cupec
, Ivan Vidovic, Damir Filko, Petra Durovic:
Object recognition based on convex hull alignment. Pattern Recognit. 102: 107199 (2020)
2010 – 2019
- 2019
- [c19]Robert Cupec, Damir Filko, Petra Durovic:
Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model. ECMR 2019: 1-8 - [c18]Robert Cupec, Damir Filko, Emmanuel Karlo Nyarko
:
Place Recognition Based on Planar Surfaces Using Multiple RGB-D Images Taken From the same Position. ECMR 2019: 1-8 - 2018
- [j9]Emmanuel Karlo Nyarko
, Ivan Vidovic, Kristijan Radocaj, Robert Cupec:
A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces. Expert Syst. Appl. 114: 454-466 (2018) - [j8]Damir Filko, Robert Cupec, Emmanuel Karlo Nyarko
:
Wound measurement by RGB-D camera. Mach. Vis. Appl. 29(4): 633-654 (2018) - [c17]Marko Filipovic, Petra Durovic, Robert Cupec:
Experimental Evaluation of Point Cloud Classification using the PointNet Neural Network. IJCCI 2018: 47-54 - [c16]Domagoj Kovac, Ratko Grbic, Petra Durovic, Robert Cupec:
Cost-effective mobile manipulation system. MIPRO 2018: 892-896 - [c15]Robert Cupec, Petra Durovic:
Volume Net: Flexible Model for Shape Classes. ROBIO 2018: 248-255 - [c14]Petra Durovic, Marko Filipovic, Robert Cupec:
Alignment of Similar Shapes Based on their Convex Hulls for 3D Object Classification. ROBIO 2018: 1586-1593 - 2017
- [j7]Kruno Lenac, Andrej Kitanov, Robert Cupec
, Ivan Petrovic
:
Fast planar surface 3D SLAM using LIDAR. Robotics Auton. Syst. 92: 197-220 (2017) - [c13]Robert Cupec, Damir Filko, Emmanuel Karlo Nyarko
:
Segmentation of depth images into objects based on local and global convexity. ECMR 2017: 1-7 - [c12]Petra Durovic, Ratko Grbic, Robert Cupec, Damir Filko:
Low cost robot arm with visual guided positioning. MIPRO 2017: 1120-1125 - 2016
- [j6]Ivan Vidovic, Robert Cupec, Zeljko Hocenski:
Crop row detection by global energy minimization. Pattern Recognit. 55: 68-86 (2016) - [j5]Damir Filko, Robert Cupec, Emmanuel Karlo Nyarko
:
Evaluation of color and texture descriptors for matching of planar surfaces in global localization scheme. Robotics Auton. Syst. 80: 55-68 (2016) - [c11]Damir Filko, Emmanuel Karlo Nyarko
, Robert Cupec:
Wound detection and reconstruction using RGB-D camera. MIPRO 2016: 1217-1222 - [c10]Damir Filko, Robert Cupec, Emmanuel Karlo Nyarko
:
Detection, Reconstruction and Segmentation of Chronic Wounds Using Kinect v2 Sensor. MIUA 2016: 151-156 - 2015
- [j4]Robert Cupec, Emmanuel Karlo Nyarko
, Damir Filko, Andrej Kitanov, Ivan Petrovic
:
Place recognition based on matching of planar surfaces and line segments. Int. J. Robotics Res. 34(4-5): 674-704 (2015) - 2013
- [i1]Robert Cupec, Emmanuel Karlo Nyarko, Damir Filko, Andrej Kitanov, Ivan Petrovic:
Global Localization Based on 3D Planar Surface Segments. CoRR abs/1310.0314 (2013) - 2012
- [j3]Robert Cupec, Emmanuel Karlo Nyarko
, Drazen Sliskovic:
Efficient postprocessing of edge maps for image segmentation based on greedy correction cost minimization. J. Electronic Imaging 21(2): 023007 (2012) - [c9]Robert Cupec, Emmanuel Karlo Nyarko
, Damir Filko, Ivan Petrovic
:
Fast Pose Tracking Based on Ranked 3D Planar Patch Correspondences. SyRoCo 2012: 108-113 - 2011
- [j2]Robert Cupec, Ivan Aleksi
, Günther Schmidt:
Step sequence planning for a biped robot by means of a cylindrical shape model and a high-resolution 2.5D map. Robotics Auton. Syst. 59(2): 84-100 (2011) - [c8]Robert Cupec, Emmanuel Karlo Nyarko, Damir Filko:
Fast 2.5D Mesh Segmentation to Approximately Convex Surfaces. ECMR 2011: 127-132
2000 – 2009
- 2009
- [j1]Robert Cupec, Ratko Grbic, Kristian Sabo, Rudolf Scitovski
:
Three points method for searching the best least absolute deviations plane. Appl. Math. Comput. 215(3): 983-994 (2009) - [c7]Robert Cupec, Ratko Grbic, Emmanuel Karlo Nyarko, Kristian Sabo, Rudolf Scitovski:
Detection of Planar Surfaces Based on RANSAC and LAD Plane Fitting. ECMR 2009: 37-42 - [c6]Robert Cupec, Emmanuel Karlo Nyarko, Andreja Kitanov, Ivan Petrovic:
Geometrically Constrained RANSAC for Stereo Image Registration in Presence of High Ambiguity in Feature Correspondence. ECMR 2009: 179-185 - 2005
- [c5]Robert Cupec, Günther Schmidt:
An approach to environment modelling for biped walking robots. IROS 2005: 424-429 - 2003
- [c4]Robert Cupec, Oliver Lorch, Günther Schmidt:
Vision-Guided Humanoid Walking - Concepts and Experiments. AMS 2003: 1-11 - 2002
- [c3]Oliver Lorch, Amos Albert, Joachim Denk, Marc Gerecke, Robert Cupec, Javier F. Seara, Wilfried Gerth, Günther Schmidt:
Experiments in vision-guided biped walking. IROS 2002: 2484-2490 - [c2]Robert Cupec, Joachim Denk, Günther Schmidt:
Practical Experience with Vision-guided Biped Walking. ISER 2002: 592-601 - 2001
- [c1]Robert Cupec, Oliver Lorch, Günther Schmidt:
Object Recognition and Estimation of Camera Orientation for Walking Machines. AMS 2001: 1-10
Coauthor Index
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