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ORCIDSedat Ozer
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2020 – today
- 2024
[j7]Sedat Özer
, Alain Patrick Ndigande:
VisIRNet: Deep Image Alignment for UAV-Taken Visible and Infrared Image Pairs. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)- [c25]Mehmet Akif Özkanoglu, Ali C. Begen, Sedat Ozer:
SkyDataNet: An Object Detection Algorithm with 2D Gaussian Loss for UAV-Based Aerial Images. MIPR 2024: 21-27 - [c24]Mounes Zaval, Sedat Ozer:
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model. SIU 2024: 1-4 - [i10]Sedat Ozer, Alain Patrick Ndigande:
VisIRNet: Deep Image Alignment for UAV-taken Visible and Infrared Image Pairs. CoRR abs/2402.09635 (2024) - [i9]Mounes Zaval, Sedat Ozer:
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model. CoRR abs/2405.11837 (2024) - 2023
- [j6]Sedat Ozer, Hüseyin Enes Ilhan, Mehmet Akif Özkanoglu, Hakan A. Çirpan:
Offloading Deep Learning Powered Vision Tasks From UAV to 5G Edge Server With Denoising. IEEE Trans. Veh. Technol. 72(6): 8035-8048 (2023) - [c23]Weiping Hua, Karen G. Bemis, Dujuan Kang, Sedat Ozer, Deborah Silver:
A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field. EnvirVis@EuroVis 2023: 9-16 - [c22]Asim Ersoy, Olcay Taner Yildiz, Sedat Özer:
ORTPiece: An ORT-Based Turkish Image Captioning Network Based on Transformers and WordPiece. SIU 2023: 1-4 - [c21]Çagatay Savasli, Damla Tütüncü, Alain Patrick Ndigande, Sedat Özer:
Performance Analysis of Meta-Learning Based Bayesian Deep Kernel Transfer Methods for Regression Tasks. SIU 2023: 1-4 - [c20]Selin Koles, Selami Karakas, Alain Patrick Ndigande, Sedat Ozer:
Using Different Loss Functions with YOLACT++ for Real-Time Instance Segmentation. TSP 2023: 264-267 - [i8]Sedat Ozer, Enes Ilhan, Mehmet Akif Özkanoglu, Hakan Ali Çirpan:
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising. CoRR abs/2302.01991 (2023) - [i7]Weiping Hua, Karen G. Bemis, Dujuan Kang, Sedat Ozer, Deborah Silver:
A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field. CoRR abs/2305.08229 (2023) - [i6]Yigit Gürses, Melisa Taspinar, Mahmut Yurt, Sedat Ozer:
GRJointNET: Synergistic Completion and Part Segmentation on 3D Incomplete Point Clouds. CoRR abs/2311.13997 (2023) - 2022
- [j5]Sedat Özer, Mert Ege, Mehmet Akif Özkanoglu:
SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images. Pattern Recognit. 129: 108712 (2022) - [j4]Mehmet Akif Özkanoglu, Sedat Ozer:
InfraGAN: A GAN architecture to transfer visible images to infrared domain. Pattern Recognit. Lett. 155: 69-76 (2022) - [c19]Oyku Sahin, Sedat Ozer:
YOLODrone+: Improved YOLO Architecture for Object Detection in UAV Images. SIU 2022: 1-4 - 2021
- [c18]Yigit Gürses, Melisa Taspinar, Mahmut Yurt, Sedat Özer:
GRJointNET: Synergistic Completion and Part Segmentation on 3D Incomplete Point Clouds. SIU 2021: 1-4 - [c17]Hüseyin Enes Ilhan, Sedat Ozer, Günes Karabulut-Kurt, Hakan Ali Çirpan:
Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server. TSP 2021: 296-300 - [c16]Ali Yuce Kaleli, Aras Firat Unal, Sedat Ozer:
Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis. TSP 2021: 301-304 - [c15]Oyku Sahin, Sedat Ozer:
YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images. TSP 2021: 361-365 - 2020
- [c14]Derya Gözen, Sedat Ozer:
Visual Object Tracking in Drone Images with Deep Reinforcement Learning. ICPR 2020: 10082-10089 - [c13]Berat Mert Albaba, Sedat Ozer:
SyNet: An Ensemble Network for Object Detection in UAV Images. ICPR 2020: 10227-10234 - [c12]Yasin Yildirim, Sedat Özer, Hakan Ali Çirpan:
Deep Receiver Design for Multi-carrier Waveforms Using CNNs. TSP 2020: 31-36 - [i5]Yasin Yildirim, Sedat Ozer, Hakan Ali Çirpan:
Deep Receiver Design for Multi-carrier Waveforms Using CNNs. CoRR abs/2006.02226 (2020) - [i4]Berat Mert Albaba, Sedat Ozer:
SyNet: An Ensemble Network for Object Detection in UAV Images. CoRR abs/2012.12991 (2020)
2010 – 2019
- 2019
- [j3]Sedat Ozer:
Similarity Domains Machine for Scale-Invariant and Sparse Shape Modeling. IEEE Trans. Image Process. 28(2): 534-545 (2019) - [c11]Sedat Ozer:
Parametric Shape Modeling and Skeleton Extraction With Radial Basis Functions Using Similarity Domains Network. CVPR Workshops 2019: 1138-1142 - [c10]Rodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah:
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. IV 2019: 2423-2428 - [i3]Rodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah:
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. CoRR abs/1904.04375 (2019) - [i2]Sedat Ozer:
Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network. CoRR abs/1906.00265 (2019) - 2017
- [c9]Dan Feldman, Sedat Ozer, Daniela Rus:
Coresets for Vector Summarization with Applications to Network Graphs. ICML 2017: 1117-1125 - [i1]Dan Feldman, Sedat Ozer, Daniela Rus:
Coresets for Vector Summarization with Applications to Network Graphs. CoRR abs/1706.05554 (2017) - 2016
- [p1]Sedat Ozer:
Visual Object Recognition with Image Retrieval. Handbook of Pattern Recognition and Computer Vision 2016: 415-425 - 2014
- [j2]Sedat Ozer, Deborah Silver, Karen G. Bemis, Pino Martin:
Activity Detection in Scientific Visualization. IEEE Trans. Vis. Comput. Graph. 20(3): 377-390 (2014) - [c8]Rituparna Sarkar, Sedat Ozer, Kevin Skadron, Scott T. Acton:
Image classification by multi-kernel dictionary learning. ACSSC 2014: 73-77 - 2013
- [c7]Li Liu, Sedat Ozer, Karen G. Bemis, Jay Takle, Deborah Silver:
An interactive method for activity detection visualization. LDAV 2013: 129-130 - 2012
- [c6]Sedat Ozer, Jishang Wei, Deborah Silver, Kwan-Liu Ma, Pino Martin:
Group dynamics in scientific visualization. LDAV 2012: 97-104 - 2011
- [j1]Sedat Ozer, Chi Hau Chen, Hakan A. Çirpan:
A set of new Chebyshev kernel functions for support vector machine pattern classification. Pattern Recognit. 44(7): 1435-1447 (2011) - [c5]Sedat Ozer, Deborah Silver, Karen G. Bemis, Pino Martin, Jay Takle:
Activity Detection for scientific visualization. LDAV 2011: 117-118 - 2010
- [c4]Sedat Ozer, Chi Hau Chen, Imam Samil Yetik:
Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection. SSPR/SPR 2010: 532-539
2000 – 2009
- 2009
- [c3]Sedat Ozer, Masoom A. Haider, Deanna L. Langer, Theodorus H. van der Kwast, Andrew J. Evans, Miles N. Wernick, John Trachtenberg, Imam Samil Yetik:
Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines. ISBI 2009: 73-76 - 2008
- [c2]Sedat Ozer, Chi Hau Chen:
Generalized Chebyshev Kernels for Support Vector Classification. ICPR 2008: 1-4 - 2006
- [c1]Sedat Ozer, Hakan A. Çirpan, Nihat Kabaoglu:
Support Vector Regression for Surveillance Purposes. MRCS 2006: 442-449
Coauthor Index
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last updated on 2024-10-30 21:34 CET by the dblp team
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