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Erdem Akagündüz
Erdem Akagündüz
Graduate School of Informatics, METU
Verified email at metu.edu.tr - Homepage
Title
Cited by
Cited by
Year
A survey on deep learning-based architectures for semantic segmentation on 2d images
I Ulku, E Akagündüz
Applied Artificial Intelligence 36 (1), 2032924, 2022
1922022
Silhouette orientation volumes for efficient fall detection in depth videos
E Akagündüz, M Aslan, A Şengür, H Wang, MC Ince
IEEE journal of biomedical and health informatics 21 (3), 756-763, 2016
732016
Comparison of infrared and visible imagery for object tracking: Toward trackers with superior ir performance
E Gundogdu, H Ozkan, H Seckin Demir, H Ergezer, E Akagunduz, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
462015
3D object representation using transform and scale invariant 3D features
E Akagunduz, I Ulusoy
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
432007
Defining image memorability using the visual memory schema
E Akagunduz, AG Bors, KK Evans
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2165-2178, 2019
362019
3D face recognition performance under adversarial conditions
A Savran, O Celiktutan, A Akyol, J Trojanová, H Dibeklioglu, S Esenlik, ...
Proc. eNTERFACE07 Workshop on Multimodal Interfaces, 2007
202007
Extraction of 3D transform and scale invariant patches from range scans
E Akagunduz, I Ulusoy
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
182007
3D face reconstruction using stereo images and structured light
AO Ozturk, U Halici, I Ulusoy, E Akagunduz
2008 IEEE 16th Signal Processing, Communication and Applications Conference, 1-4, 2008
172008
3D object recognition from range images using transform invariant object representation
E Akagündüz, I Ulusoy
Electronics Letters 46 (22), 1499-1500, 2010
132010
A survey on infrared image & video sets
KI Danaci, E Akagunduz
Multimedia Tools and Applications 83 (6), 16485-16523, 2024
122024
Comparison of single channel indices for U-Net based segmentation of vegetation in satellite images
I Ulku, P Barmpoutis, T Stathaki, E Akagunduz
Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 338-345, 2020
122020
Scale and orientation invariant 3D interest point extraction using hk curvatures
E Akagunduz, I Ulusoy
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International …, 2009
122009
Deep Semantic Segmentation of Trees Using Multispectral Images
I Ulku, E Akagündüz, P Ghamisi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
112022
Use of the dynamic volume spline method to predict facial soft tissue changes associated with orthognathic surgery
İ Ulusoy, E Akagunduz, F Sabuncuoglu, S Gorgulu, O Ucok
Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and …, 2010
112010
Increasing maritime situational awareness with interoperating distributed information sources
FT Cetin, B Yilmaz, Y Kabak, JH Lee, C Erbas, E Akagunduz, SJ Lee, ...
18th Interantional Command and Control Research and Technology Symposium, 9-22, 2013
92013
A survey on deep learning-based architectures for semantic segmentation on 2d images. arXiv 2019
I Ulku, E Akagunduz
arXiv preprint arXiv:1912.10230, 0
9
Shape recognition using orientational and morphological scale‐spaces of curvatures
E Akagündüz
IET Computer Vision 9 (5), 750-757, 2015
82015
Scale-space approach for the comparison of HK and SC curvature descriptions as applied to object recognition
E Akagunduz, O Eskizara, I Ulusoy
Image Processing (ICIP), 2009 16th IEEE International Conference on, 413-416, 2009
82009
3D face detection using transform invariant features
E Akagündüz, I Ulusoy
Electronics letters 46 (13), 905-907, 2010
72010
3D face representation using scale and transform invariant features
E Akagunduz, I Ulusoy
2008 IEEE 16th Signal Processing, Communication and Applications Conference, 1-4, 2008
62008
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