Sedat Ozer

According to our database, Sedat Ozer authored at least 31 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

VisIRNet: Deep Image Alignment for UAV-Taken Visible and Infrared Image Pairs.

Sedat Özer, Alain Patrick Ndigande

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Offloading Deep Learning Powered Vision Tasks From UAV to 5G Edge Server With Denoising.

Sedat Ozer, Hüseyin Enes Ilhan, Mehmet Akif Özkanoglu, Hakan A. Çirpan

IEEE Trans. Veh. Technol., June, 2023

A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field.

Weiping Hua, Karen G. Bemis, Dujuan Kang, Sedat Ozer, Deborah Silver

CoRR, 2023

Using Different Loss Functions with YOLACT++ for Real-Time Instance Segmentation.

Selin Koles, Selami Karakas, Alain Patrick Ndigande, Sedat Ozer

Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023

Performance Analysis of Meta-Learning Based Bayesian Deep Kernel Transfer Methods for Regression Tasks.

Çagatay Savasli, Damla Tütüncü, Alain Patrick Ndigande, Sedat Özer

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

ORTPiece: An ORT-Based Turkish Image Captioning Network Based on Transformers and WordPiece.

Asim Ersoy, Olcay Taner Yildiz, Sedat Özer

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

2022

InfraGAN: A GAN architecture to transfer visible images to infrared domain.

Mehmet Akif Özkanoglu, Sedat Ozer

Pattern Recognit. Lett., 2022

SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images.

Sedat Özer, Mert Ege, Mehmet Akif Özkanoglu

Pattern Recognit., 2022

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

Oyku Sahin, Sedat Ozer

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images.

Oyku Sahin, Sedat Ozer

Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

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

Ali Yuce Kaleli, Aras Firat Unal, Sedat Ozer

Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server.

Hüseyin Enes Ilhan, Sedat Ozer, Günes Karabulut Kurt, Hakan Ali Çirpan

Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021

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

Yigit Gürses, Melisa Taspinar, Mahmut Yurt, Sedat Özer

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020

Deep Receiver Design for Multi-carrier Waveforms Using CNNs.

Yasin Yildirim, Sedat Özer, Hakan Ali Çirpan

Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Visual Object Tracking in Drone Images with Deep Reinforcement Learning.

Derya Gözen, Sedat Ozer

Proceedings of the 25th International Conference on Pattern Recognition, 2020

SyNet: An Ensemble Network for Object Detection in UAV Images.

Berat Mert Albaba, Sedat Ozer

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Similarity Domains Machine for Scale-Invariant and Sparse Shape Modeling.

Sedat Ozer

IEEE Trans. Image Process., 2019

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

Rodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Parametric Shape Modeling and Skeleton Extraction With Radial Basis Functions Using Similarity Domains Network.

Sedat Ozer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Coresets for Vector Summarization with Applications to Network Graphs.

Dan Feldman, Sedat Ozer, Daniela Rus

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Visual Object Recognition with Image Retrieval.

Sedat Ozer

Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2014

Activity Detection in Scientific Visualization.

Sedat Ozer, Deborah Silver, Karen G. Bemis, Pino Martin

IEEE Trans. Vis. Comput. Graph., 2014

Image classification by multi-kernel dictionary learning.

Rituparna Sarkar, Sedat Ozer, Kevin Skadron, Scott T. Acton

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

An interactive method for activity detection visualization.

Li Liu, Sedat Ozer, Karen G. Bemis, Jay Takle, Deborah Silver

Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

2012

Group dynamics in scientific visualization.

Sedat Ozer, Jishang Wei, Deborah Silver, Kwan-Liu Ma, Pino Martin

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

2011

A set of new Chebyshev kernel functions for support vector machine pattern classification.

Sedat Ozer, Chi Hau Chen, Hakan A. Çirpan

Pattern Recognit., 2011

Activity Detection for scientific visualization.

Sedat Ozer, Deborah Silver, Karen G. Bemis, Pino Martin, Jay Takle

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

2010

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

Sedat Ozer, Chi Hau Chen, Imam Samil Yetik

Proceedings of the Structural, 2010

2009

Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines.

Sedat Ozer, Masoom A. Haider, Deanna L. Langer, Theodorus H. van der Kwast, Andrew J. Evans, Miles N. Wernick, John Trachtenberg, Imam Samil Yetik

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Generalized Chebyshev Kernels for Support Vector Classification.

Sedat Ozer, Chi Hau Chen

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2006

Support Vector Regression for Surveillance Purposes.

Sedat Ozer, Hakan A. Çirpan, Nihat Kabaoglu

Proceedings of the Multimedia Content Representation, 2006