Kasim Terzic
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2010 – today
- 2019
[c18]Gintare Zemaityte, Kasim Terzic:
Supervisor Recommendation Tool for Computer Science Projects. CEP 2019: 1:1-1:4- 2017
[j5]Mário Saleiro, Kasim Terzic, J. M. F. Rodrigues
, J. M. Hans du Buf:
BINK: Biological binary keypoint descriptor. Biosystems 162: 147-156 (2017)
[j4]Kasim Terzic
, Sai Krishna, J. M. Hans du Buf
:
Texture features for object salience. Image Vision Comput. 67: 43-51 (2017)
[c17]Kasim Terzic, J. M. Hans du Buf:
Interpretable Feature Maps for Robot Attention. HCI (7) 2017: 456-467
[i1]Kasim Terzic, Miles E. Hansard:
Causes of discomfort in stereoscopic content: a review. CoRR abs/1703.04574 (2017)- 2016
[j3]Kasim Terzic, Miles E. Hansard:
Methods for reducing visual discomfort in stereoscopic 3D: A review. Sig. Proc.: Image Comm. 47: 402-416 (2016)- 2015
[j2]Kasim Terzic
, João M. F. Rodrigues
, J. M. Hans du Buf
:
BIMP: A real-time biological model of multi-scale keypoint detection in V1. Neurocomputing 150: 227-237 (2015)
[c16]Kasim Terzic, Hussein Adnan Mohammed, J. M. Hans du Buf:
Shape Detection with Nearest Neighbour Contour Fragments. BMVC 2015: 59.1-59.12
[c15]Kasim Terzic
, Sai Krishna, J. M. Hans du Buf:
A Parametric Spectral Model for Texture-Based Salience. GCPR 2015: 331-342
[c14]Mário Saleiro, Miguel Farrajota, Kasim Terzic
, Sai Krishna, João M. F. Rodrigues
, J. M. Hans du Buf:
Biologically Inspired Vision for Human-Robot Interaction. HCI (8) 2015: 505-517- 2014
[c13]Oliver Lomp, Kasim Terzic, Christian Faubel, J. M. Hans du Buf, Gregor Schöner
:
Instance-Based Object Recognition with Simultaneous Pose Estimation Using Keypoint Maps and Neural Dynamics. ICANN 2014: 451-458
[c12]Mário Saleiro, Kasim Terzic
, David Lobato, João M. F. Rodrigues
, J. M. Hans du Buf:
Biologically Inspired Vision for Indoor Robot Navigation. ICIAR (2) 2014: 469-477
[c11]Kasim Terzic
, J. M. Hans du Buf:
An efficient Naive Bayes approach to category-level object detection. ICIP 2014: 1658-1662
[c10]Kasim Terzic, David Lobato, Mário Saleiro, J. M. Hans du Buf:
A Fast Neural-Dynamical Approach to Scale-Invariant Object Detection. ICONIP (1) 2014: 511-518- 2013
[c9]J. M. Hans du Buf, Kasim Terzic, João M. F. Rodrigues:
Phase-differencing in Stereo Vision - Solving the Localisation Problem. BIOSIGNALS 2013: 254-263
[c8]Mário Saleiro, Miguel Farrajota, Kasim Terzic, João M. F. Rodrigues, J. M. Hans du Buf:
A Biological and Real-Time Framework for Hand Gestures and Head Poses. HCI (6) 2013: 556-565
[c7]Kasim Terzic
, João M. F. Rodrigues
, J. M. Hans du Buf
:
Real-Time Object Recognition Based on Cortical Multi-scale Keypoints. IbPRIA 2013: 314-321
[c6]Kasim Terzic
, João M. F. Rodrigues
, J. M. Hans du Buf:
Fast cortical keypoints for real-time object recognition. ICIP 2013: 3372-3376
[c5]Kasim Terzic
, David Lobato, Mário Saleiro, Jaime A. Martins
, Miguel Farrajota, João M. F. Rodrigues
, J. M. Hans du Buf
:
Biological Models for Active Vision: Towards a Unified Architecture. ICVS 2013: 113-122- 2011
[b1]Kasim Terzic:
A Generic Middle Layer for Image Understanding. University of Hamburg, 2011- 2010
[c4]Kasim Terzic, Lothar Hotz, Jan Sochman:
Interpreting Structures in Man-made Scenes - Combining Low-Level and High-Level Structure Sources. ICAART (1) 2010: 357-364
[c3]Bernd Neumann, Kasim Terzic
:
Context-Based Probabilistic Scene Interpretation. IFIP AI 2010: 155-164
2000 – 2009
- 2008
[j1]Peer Stelldinger, Kasim Terzic
:
Digitization of non-regular shapes in arbitrary dimensions. Image Vision Comput. 26(10): 1338-1346 (2008)
[c2]Lothar Hotz, Bernd Neumann, Kasim Terzic
:
High-Level Expectations for Low-Level Image Processing. KI 2008: 87-94- 2007
[c1]Kasim Terzic, Lothar Hotz, Bernd Neumann:
Division of Work During Behaviour Recognition - The SCENIC Approach. BMI 2007: 144-159
Coauthor Index

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