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Kasim Terzić
Kasim Terzić
University of St Andrews
Verified email at qmul.ac.uk - Homepage
Title
Cited by
Cited by
Year
Methods for reducing visual discomfort in stereoscopic 3D: A review
K Terzić, M Hansard
Signal Processing: Image Communication 47, 402-416, 2016
712016
High-level expectations for low-level image processing
L Hotz, B Neumann, K Terzic
Annual Conference on Artificial Intelligence, 87-94, 2008
252008
Microstructural analysis of lignocellulosic fiber networks
T Walther, K Terzic, T Donath, H Meine, F Beckmann, H Thoemen
Developments in X-ray Tomography V 6318, 341-350, 2006
252006
Division of Work During Behaviour Recognition-The SCENIC Approach.
K Terzic, L Hotz, B Neumann
BMI, 144-159, 2007
192007
Fast cortical keypoints for real-time object recognition
K Terzic, JMF Rodrigues, JMH du Buf
ICIP 2013, 3372-3376, 2013
142013
Digitization of non-regular shapes in arbitrary dimensions
P Stelldinger, K Terzic
Image and Vision Computing 26 (10), 1338-1346, 2008
132008
Feedback between low-level and high-level image processing
L Hotz, B Neumann, K Terzic, J Sochman
132007
BIMP: A real-time biological model of multi-scale keypoint detection in V1
K Terzić, JMF Rodrigues, JMH du Buf
Neurocomputing 150, 227-237, 2015
122015
Biological models for active vision: Towards a unified architecture
K Terzić, D Lobato, M Saleiro, J Martins, M Farrajota, JMF Rodrigues, ...
Computer Vision Systems: 9th International Conference, ICVS 2013, St …, 2013
122013
Context-based probabilistic scene interpretation
B Neumann, K Terzic
Artificial Intelligence in Theory and Practice III: Third IFIP TC 12 …, 2010
122010
Context-aware classification for incremental scene interpretation
A Kreutzmann, K Terzić, B Neumann
Proceedings of the Workshop on Use of Context in Vision Processing, 1-6, 2009
112009
Causes of discomfort in stereoscopic content: a review
K Terzic, M Hansard
arXiv preprint arXiv:1703.04574, 2017
102017
Interpreting structures in man-made scenes-combining low-level and high-level structure sources
K Terzić, L Hotz, J Šochman
International Conference on Agents and Artificial Intelligence 2, 357-364, 2010
102010
New opportunities for the microstructural analysis of wood fiber networks
T Walther, H Thoemen, K Terzic, H Meine
Proceedings of the tenth European panel products symposium, Llandudno, Wales …, 2006
82006
BINK: Biological binary keypoint descriptor
M Saleiro, K Terzić, JMF Rodrigues, JMH du Buf
Biosystems 162, 147-156, 2017
72017
Real-time object recognition based on cortical multi-scale keypoints
K Terzić, JMF Rodrigues, JMH Du Buf
Pattern Recognition and Image Analysis: 6th Iberian Conference, IbPRIA 2013 …, 2013
72013
Data-driven robotic manipulation of cloth-like deformable objects: The present, challenges and future prospects
HA Kadi, K Terzić
Sensors 23 (5), 2389, 2023
62023
Automatic incremental model learning for scene interpretation
J Hartz, L Hotz, B Neumann, K Terzic
Proceedings of the International Conference on Computational Intelligence …, 2009
62009
Texture features for object salience
K Terzić, S Krishna, JMH du Buf
Image and Vision Computing 67, 43-51, 2017
52017
An efficient naive bayes approach to category-level object detection
K Terzić, JMH du Buf
2014 IEEE International Conference on Image Processing (ICIP), 1658-1662, 2014
52014
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Articles 1–20