| A survey on deep learning-based architectures for semantic segmentation on 2d images I Ulku, E Akagündüz Applied Artificial Intelligence 36 (1), 2032924, 2022 | 147 | 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 | 69 | 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 | 43 | 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 | 41 | 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 | 29 | 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 | 20 | 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 | 18 | 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 | 16 | 2008 |
| 3D object recognition from range images using transform invariant object representation E Akagündüz, I Ulusoy Electronics Letters 46 (22), 1499-1500, 2010 | 13 | 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 | 12 | 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 | 12 | 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 | 11 | 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 | 9 | |
| Shape recognition using orientational and morphological scale‐spaces of curvatures E Akagündüz IET Computer Vision 9 (5), 750-757, 2015 | 8 | 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 International Command & Control Research & Technology Symposium, ICCRTS …, 2013 | 8 | 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 | 8 | 2009 |
| A survey on infrared image & video sets KI Danaci, E Akagunduz Multimedia Tools and Applications, 1-39, 2023 | 7 | 2023 |
| 3D face detection using transform invariant features E Akagündüz, I Ulusoy Electronics letters 46 (13), 905-907, 2010 | 7 | 2010 |
| 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 | 6 | 2022 |
| 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 | 6 | 2008 |
Ilkay UlusoyMETUVerified email at metu.edu.tr
