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Journal Publications

Catadioptric Hyperspectral Imaging, An Unmixing Approach
Ozisik Baskurt, D., Bastanlar, Y., Yardimci Cetin, Y.
IET Computer Vision, 2020, Volume 14, Issue 7, pp 493 – 504, DOI:10.1049/iet-cvi.2019.0784

Elimination of Useless Images from Raw Camera-Trap Data
Tekeli, U., Bastanlar, Y.
Turkish Journal of Electrical Engineering and Computer Sciences, 2019, Volume 27, pp 2395-2411, DOI:10.3906/elk-1808-130

Affordable person detection in omnidirectional cameras using radial integral channel features
Demiröz, B.E., Salah, A.A., Bastanlar, Y., Akarun, L.
Machine Vision and Applications, 2019, Volume 30, pp 645–655, DOI:10.1007/s00138-019-01016-w

Training convolutional neural networks with image patches for object localisation
Orhan, S., Bastanlar, Y.
Electronics Letters, April 2018, Volume 54, Issue 7, pp 424–426, DOI:10.1049/el.2017.4725

Detection and Classification of Vehicles from Omnidirectional Videos Using Multiple Silhouettes
Karaimer, H.C., Baris, I., Bastanlar, Y.
Pattern Analysis and Applications, August 2017, Volume 20, Issue 3, pp 893–905, DOI:10.1007/s10044-017-0593-z
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.

A simplified two-view geometry based external calibration method for omnidirectional and PTZ camera pairs
Bastanlar, Y.
Pattern Recognition Letters, Volume 71, 1 February 2016, Pages 1–7. DOI:10.1016/j.patrec.2015.11.013

A Direct Approach for Object Detection with Catadioptric Omnidirectional Cameras
Cinaroglu, I., Bastanlar, Y.
Signal, Image and Video Processing, Volume 10(2), February 2016, Pages 413–420. DOI:10.1007/s11760-015-0768-2
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.

Reduced egomotion estimation drift using omnidirectional views
Bastanlar, Y.
Electronic Letters on Computer Vision and Image Analysis, vol.13(3), p.1-12, 2014.

Multi-view Structure-from-Motion for Hybrid Camera Scenarios
Bastanlar, Y., Temizel, A., Yardimci, Y., Sturm, P.
Image and Vision Computing, vol.30(8), p.557–572, 2012.
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.


Book Chapters

Deep Learning: Exemplar Studies in Natural Language Processing and Computer Vision
Tekir, S., Bastanlar, Y.
in Data Mining - Methods, Applications and Systems, Derya Birant (Editor), InTech Open. March 2020. DOI:10.5772/intechopen.91813

Introduction to Machine Learning
Bastanlar, Y., Ozuysal, M.
in miRNomics: MicroRNA Biology and Computational Analysis, Malik Yousef, Jens Allmer (Editors), Springer Protocols, Humana Press. 2014 edition.


International Conference/Workshop Publications

Training Semantic Descriptors for Image-Based Localization
Cinaroglu, I., Bastanlar, Y.
ECCV 2020 Workshop on Perception for Autonomous Driving, 23 August 2020.

Classification and Tracking of Traffic Scene Objects with Hybrid Camera Systems
Baris, I., Bastanlar, Y.
IEEE International Transportation Systems Conference (ITSC 2017), 16-19 October 2017, Yokohama, Japan.

Detecting Photos with Leopards Using Convolutional Neural Networks
Orhan, S., Bastanlar, Y.
International Conference on Computer Science and Engineering, 20-23 October 2016, Tekirdag, Turkey.

Combining shape-based and gradient-based classifiers for vehicle classification
Karaimer, H.C., Cinaroglu, I., Bastanlar, Y.
IEEE International Transportation Systems Conference (ITSC 2015), 14-18 September 2015, Las Palmas de Gran Canaria, Spain.

Detection and Classification of Vehicles from Omnidirectional Videos using Temporal Average of Silhouettes
Karaimer, H.C., Bastanlar, Y.
International Conference on Computer Vision Theory and Applications (2015), 11-14 March, Berlin, Germany.
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.


National Conference Publications

Container Damage Detection and Classification Using Container Images (in Turkish)
Imamoglu, Z., Tuglular, T., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2020, 5-7 October.

Image Based Localization Using Semantic Segmentation for Autonomous Driving (in Turkish)
Cinaroglu, I., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2019, 24-26 April, Sivas, Turkey.

Detection of Images with Animals in Raw Camera-Trap Data (in Turkish)
Tekeli, U., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2018, 2-5 May, Izmir, Turkey.

Effect of Patch Based Training on Object Localization with Convolutional Neural Networks (in Turkish)
Orhan, S., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2017, 16-19 May, Antalya, Turkey.

Estimation of Low Sucrose Concentrations by UV-Vis Spectroscopy and Artificial Neural Networks (in Turkish)
Mezgil, B., Erdogan, D., Alduran, Y., Yildiz, U.H., Arslan-Yildiz, A., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2017, 16-19 May, Antalya, Turkey.

Classification of Vehicles with Omnidirectional and PTZ cameras (in Turkish)
Baris, I., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2016, 16-19 May, Zonguldak, Turkey.

Classification of Vehicles Using Binary Foreground Images Averaged Over Time (in Turkish)
Karaimer, H.C., Bastanlar, Y.
IEEE Conference on Signal Processing and Applications (SIU) 2015, 16-19 May, Malatya, Turkey.

A Direct Approach for Human Detection with Catadioptric Omnidirectional Cameras
Cinaroglu, I., Bastanlar, Y.
IEEE Conference on Signal Processing and Communications Applications (SIU) 2014, 23-25 April, Trabzon, Turkey.
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.

Car Detection with Omnidirectional Cameras Using Haar-Like Features and Cascaded Boosting (in Turkish)
Karaimer, H.C., Bastanlar, Y.
IEEE Conference on Signal Processing and Communications Applications (SIU) 2014, 23-25 April, Trabzon, Turkey.
To download the image datasets used in this paper, click here, or select 'Datasets' tab above.


Theses

Improved Image Based Localization Using Semantic Descriptors
Ibrahim Cinaroglu, 2021, Ph.D. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Detection and Localization of Motorway Overhead Directional Signs by Convolutional Neural Networks Trained with Synthetic Images
Hakan Hekimgil, 2019, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Estimation of Low Sucrose Concentrations and Classification of Bacteria Concentrations with Machine Learning on Spectroscopic Data
Bahadir Mezgil, 2019, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Elimination of Useless Images from Raw Camera-Trap Data
Ulas Tekeli, 2018, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Localization of certain animal species in images via training neural networks with image patches
Semih Orhan, 2017, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Classification and Tracking of Vehicles with Hybrid Camera Systems
Ipek Baris, 2016, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

Shape-based Detection and Classification of Vehicles using Omnidirectional Videos
Hakki Can Karaimer, 2015, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.

A Direct Approach for Object Detection with Omnidirectional Cameras
Ibrahim Cinaroglu, 2014, M.Sc. Thesis, Izmir Institute of Technology, Izmir, Turkey.