Publications

SiameseFuse: A Computationally Efficient and A Not-So-Deep Network to Fuse Visible and Infrared Images

S. Ozer, M. Ege, M.A. Ozkanoglu
Journal of Pattern Recognition, 129 (2022): 108712, 2022.
Paper (PDF) -- Code

InfraGAN: A GAN Architecture to Transfer Visible Images to Infrared Domain

M.A. Ozkanoglu, S. Ozer
Pattern Recognition Letters 155 (2022): 69-76, 2022.
Paper (PDF) -- Code

YOLODrone+: Improved YOLO Architecture for Object Detection in UAV Images

O. Sahin, S. Ozer
IEEE Conference on Signal Processing and Communications Applications (SIU), 2022.
Paper (PDF) -- Code (soon)

Deep Learning based 3D Brain Tumor Segmentation with Multispectral MRI

F.E. Doğanay, O. Sahin, S. Ozer, C.H. Chen
Computational Intelligence and Image Processing in Medical Applications, 119-133, 2022.
Paper (Link)

Segmentation of COVID-19 Infected Lung Area in CT Scans with Deep Algorithms

O. Sahin, F.E. Doğanay, S. Ozer, C.H. Chen
Computational Intelligence and Image Processing in Medical Applications, 33-48, 2022.
Paper (Link)

Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server

H.E. Ilhan, S. Ozer, G.B. Kurt, H.A. Cirpan
44th IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2021.
Paper (PDF)

YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images

O. Sahin, S. Ozer
44th IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2021 (received Best Student Paper Award).
Paper (PDF)

Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis

A.Y.Kaleli, A.F.Unal, S.Ozer
44th IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2021.
Paper (PDF)

GRJointNET: Joint Completion and Part Segmentation on 3D Incomplete Point Clouds

M. Taspinar, Y. Gurses, M. Yurt, S. Ozer
IEEE Conference on Signal Processing and Communications Applications (SIU2021), June 2021.
Paper (PDF)

Visual Object Tracking in Drone Images with Deep Reinforcement Learning

D. Gozen, S. Ozer
IEEE, 25th International Conference on Pattern Recognition (ICPR2020), ITALY 10 - 15 January 2021.
Paper (PDF)

SyNet: An Ensemble Network for Object Detection in UAV Images

B. M. Albaba, S. Ozer
IEEE, 25th International Conference on Pattern Recognition (ICPR2020), ITALY 10 - 15 January 2021.
Paper (PDF) -- Code

The Use of 3D Optical Flow, Feature-Tracking and Token-Tracking PetriNets to Analyze and Visualize Multiple Scales of Ocean Eddies

S. Ozer, K. Bemis, W. Hua, A. Goktogan, M. Aydogan, K. Guo, D. Kang, L. Liu, D. Silver
Contest Video (between 1:00:40 - 1:10:40)

Connected and Autonomous Vehicles in the Deep Learning Era: A Case Study on Computer-Guided Steering

R. Valiente, M. Zaman, Y. P. Fallah , S. Ozer
Handbook of Pattern Recognition and Computer Vision (6th Edition), World Scientific, ISBN: 978-981-121-106-5, 2020.
Book Chapter (Link)

Deep Receiver Design for Multi-carrier Waveforms Using CNNs

Y. Yildirim, S. Ozer, H.A. Cirpan
43rd IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2020.
Paper (PDF)

Feature Matching with Similarity Domains Network

S. Ozer
IEEE Conference on Signal Processing and Communications Applications, (SIU 2020), October 2020.
Paper (PDF)

Similarity Domains Network for Modeling Shapes and Extracting Skeletons without Large Datasets

S. Ozer
Handbook of Pattern Recognition and Computer Vision (6th Edition), World Scientific, ISBN: 978-981-121-106-5, 2020.
Book Chapter (Link)

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks

R. Valiente, M. Zaman, S. Ozer, Y. P. Fallah
IEEE Intelligent Vehicles Symposium (IV'19), 2019.
Paper (pdf)

Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network

S. Ozer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR workshop proceedings 2019), 2019.
Paper (pdf)

Similarity Domains Machine for Scale-invariant and Sparse Shape Modeling

S. Ozer
IEEE Transactions on Image Processing, 28.2, pp. 534-545, 2019.
Paper (pdf)

Coresets for Vector Summarization with Applications to Network Graphs

D. Feldman, S. Ozer, D. Rus
Proceedings of the 34th International Conference on Machine Learning (ICML), received: NVIDIA Pioneering Research Award, 2017.
Paper (pdf)

The Path to COVIS: a review of acoustic imaging of hydrothermal flow regimes

K. G. Bemis, D. Silver, G. Xu, R. Light, D. Jackson, C. Jones, S. Ozer, L. Lui
Journal of Deep-Sea Research Part II, Vol. 121, pp.159-176 ,2015.
Paper (Link)

Visual Object Recognition with Image Retrieval

S. Ozer
Handbook of Pattern Recognition & Computer Vision, World Scientific, (invited book chapter), 2015.

Activity Detection in Scientific Visualization

S. Ozer, D. Silver, K. Bemis, P. Martin
Visualization and Computer Graphics, IEEE Transactions on, vol.20, no.3, pp.377,390, 2014.
Paper (pdf)

Image classification by multi-kernel dictionary learning

R. Sarkar, S. Ozer, S. Acton, K. Skadron
IEEE Asilomar Conference on Signals, Systems and Computers, 2014.

Activity Detection in Scientific Visualization (Invited Talk)

S. Ozer, D. Silver, K. Bemis, P. Martin
IEEE Visualization, 2014.
Paper (Link)

An interactive method for activity detection visualization

L. Liu, S. Ozer, K. Bemis, J. Takle, D. Silver
Large Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on, 2013 (Poster).

Event Detection for Hydrothermal Plumes: A case study at Grotto Vent

K.G. Bemis, S. Ozer, G. Xu, P.A. Rona, D. Silver
AGU Fall Meeting Abstracts 1, 05, 2012.

Group Dynamics in Scientific Visualization

S. Ozer, J. Wei, D. Silver, K.-L. Ma, P. Martin
Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on, 2012.
Paper (pdf)

A Set of New Chebyshev Kernel Functions for Support Vector Machine Pattern Classification

S. Ozer, C.H. Chen, H.A. Cirpan
Journal of Pattern Recognition, 44 (7), 1435-1447, 2011.
Paper (pdf)

Supervised and Unsupervised Methods for Prostate Cancer Segmentation With Multispectral MRI

S. Ozer, D. L. Langer, X. Liu, M. A. Haider, T. H. van der Kwast, A. J. Evans, Y. Yang, M. N. Wernick, I. S. Yetik
Journal of Medical Physics, Vol. 37, Issue:4, 2010.
Paper (pdf)

Using K-NN SVMs for Performance Improvement and Comparison to K-highest Lagrange Multipliers Selection

S. Ozer, C. H. Chen, I.S. Yetik
joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, SSPR 2010, Springer- Verlag, Lecture Notes in Computer Science, 2010.
Paper (pdf)

Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machine

S. Ozer, M.A. Haider, D.L. Langer, T.H. van der Kwast, A.J. Evans, M.N. Wernick, J. Trachtenberg, I.S. Yetik
IEEE International Symposium on Biomedical Imaging, 2009.
Paper (pdf)

Generalized Chebyshev Kernels for Support Vector Classification

S. Ozer, C. H. Chen
IEEE International Conference on Pattern Recognition (ICPR), 2008.
Paper (pdf)

Support Vector Regression for Surveillance Purposes

S. Ozer, H. A. Cirpan, N. Kabaoglu
MRCS - International Workshop on Multimedia Content Representation, Classification and Security, (Springer), 2006.

Support Vector Machines Based Target Tracking Techniques

S Ozer, HA Cirpan, N Kabaoglu
IEEE 14th Signal Processing and Communications Applications, 2006

Book: A kernel study on Support Vector Machines: Generalized Chebyshev Kernels

S Ozer, C. H. Chen
LAP Lambert Academic Publishing , ISBN-10: 3838305574, 2009