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Umit Rusen Aktas
Umit Rusen Aktas
PhD Student in School of Computer Science, University of Birmingham
Bestätigte E-Mail-Adresse bei cs.bham.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Deep dexterous grasping of novel objects from a single view
ÜR Aktaş, C Zhao, M Kopicki, JL Wyatt
International Journal of Humanoid Robotics 19 (02), 2250011, 2022
162022
Edge-aware segmentation in satellite imagery: A case study of shoreline detection
ÜR Aktaş, G Can, FTY Vural
7th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 1-4, 2012
162012
A graph theoretic approach for object shape representation in compositional hierarchies using a hybrid generative-descriptive model
UR Aktas, M Ozay, A Leonardis, JL Wyatt
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
102014
Compositional hierarchical representation of shape manifolds for classification of non-manifold shapes
M Ozay, UR Aktas, JL Wyatt, A Leonardis
Proceedings of the IEEE International Conference on Computer Vision, 1662-1670, 2015
72015
Dry dock detection in satellite images with representation learning
ÜR Aktaş, O Fırat, FTY Vural
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
32013
A robust approach for shoreline detection in satellite imagery
ÜR Aktaş, G Can, FTY Vural
2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012
22012
An improved graph mining tool and its application to object detection in remote sensing
ÜR Aktaş
Middle East Technical University, 2013
12013
Deep Dexterous Grasping of Novel Objects from a Single View
U Rusen Aktas, C Zhao, M Kopicki, A Leonardis, JL Wyatt
arXiv e-prints, arXiv: 1908.04293, 2019
2019
Learning deep representations for robotics applications
ÜR Aktaş
University of Birmingham, 2018
2018
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model
U Rusen Aktas, M Ozay, A Leonardis, JL Wyatt
arXiv e-prints, arXiv: 1501.05192, 2015
2015
Unsupervised Changed Detection via Hierarchical Support Vector Clustering Frank de Morsier, Devis Tuia, Volker Gass, Jean-Philippe Thiran, Maurice Borgeaud Despeckling …
X Yang, L Jia, Y Wang, Y Tang, L Schack, A Schunert, U Soergel, S Kosov, ...
DR1. 1: Compositional Hierarchies of Object Categories Observed from Multiple Views
M Ozay, V Kramarev, S Zurek, U Rusen, MA Aktas, M Popa, CJR Gallegos, ...
DR1. 2: Learned 3D Visual Vocabularies of Visual Object Shape
K Walas, M Ozay, M Popa, UR Aktas, V Kramarev, J Piater, A Leonardis, ...
Supplementary Material for A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies using a Hybrid Generative-Descriptive Model
UR Aktas, M Ozay, A Leonardis, JL Wyatt
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