Development of chrono-spectral gold nanoparticle growth based plasmonic biosensor platform
Sozmen, A.B., Elveren, B., Erdogan, D., Mezgil, B., Bastanlar, Y., Yildiz, U.H., Arslan Yildiz, A.
Biosensors and Bioelectronics: X, Jan 2024. DOI:10.1016/j.biosx.2024.100439

Cut-in Maneuver Detection with Self-supervised Contrastive Video Representation Learning
Nalcakan, Y., Bastanlar, Y.
Signal, Image and Video Processing, vol.17, pp.2915-2923, 2023. DOI:10.1007/s11760-023-02512-3

Dementia Diagnosis by Ensemble Deep Neural Networks using FDG-PET Scans
Yigit, A., Bastanlar, Y., Isik, Z.
Signal, Image and Video Processing, vol.16, pp.2203-2210, 2022. DOI:10.1007/s11760-022-02185-4

Long-term Image-based Vehicle Localization Improved with Learnt Semantic Descriptors
Cinaroglu, I., Bastanlar, Y.
Engineering Science and Technology, an International Journal (JESTECH), vol. 35, November 2022, DOI:10.1016/j.jestch.2022.101098

Semantic Segmentation of Outdoor Panoramic Images
Orhan, S., Bastanlar, Y.
Signal, Image and Video Processing, vol.16, pp.643-650, 2022. DOI:10.1007/s11760-021-02003-3
To download the image dataset used in this paper, click here.

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
Demiroz, 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.

Dementia Detection with Deep Networks Using Multi-Modal Image Data
Yigit, A., Isik, Z., Bastanlar, Y.
in Diagnosis of Neurological Disorders based on Deep Learning Techniques, Jyotismita Chaki (Editor), Taylor & Francis, 2023.

Self-Supervised Contrastive Representation Learning in Computer Vision
Bastanlar, Y., Orhan, S.,
in Applied Intelligence - Annual Volume 2022, Carlos M. Travieso-Gonzalez (Editor), IntechOpen. May 2022. DOI:10.5772/intechopen.104785

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.

Lane Change Detection with an Ensemble of Image-based and Video-based Deep Learning Models
Nalcakan, Y., Bastanlar, Y.
Innovations in Intelligent Systems and Applications Conference (ASYU 2023), 11-13 October 2023.

Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
Orhan, S., Guerrero, J.J., Bastanlar, Y.
CVPR 2022 Workshop on Learning with Limited Labelled Data for Image and Video Understanding, 20 June 2022.

Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks
Nalcakan, Y., Bastanlar, Y.
International Conference on Science, Engineering Management and Information Technology (SEMIT 2022), 2-3 February 2022.

Efficient Search in a Panoramic Image Database for Long-term Visual Localization
Orhan, S., Bastanlar, Y.
ICCV 2021 Workshop on Assistive Computer Vision and Robotics, 11 October 2021.

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.