Erdem Akagündüz
Erdem Akagündüz
Graduate School of Informatics, METU
Verified email at - Homepage
Cited by
Cited by
A survey on deep learning-based architectures for semantic segmentation on 2d images
I Ulku, E Akagündüz
Applied Artificial Intelligence 36 (1), 2032924, 2022
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
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
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
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
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
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
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
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
A survey on infrared image & video sets
KI Danaci, E Akagunduz
Multimedia Tools and Applications 83 (6), 16485-16523, 2024
3D object recognition from range images using transform invariant object representation
E Akagündüz, I Ulusoy
Electronics Letters 46 (22), 1499-1500, 2010
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
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
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
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
Shape recognition using orientational and morphological scale‐spaces of curvatures
E Akagündüz
IET Computer Vision 9 (5), 750-757, 2015
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
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
3D face detection using transform invariant features
E Akagündüz, I Ulusoy
Electronics letters 46 (13), 905-907, 2010
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
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