Publications
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising
IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3243529, 2023, (Accepted)
A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field
Workshop on Visualisation in Environmental Sciences (EnvirVis), Eurographics Proceedings, 2023 (Accepted)
Performance of a Diffusion Model for Instance Segmentation in Remote Sensing Imagery
Signal and Image Processing for Remote Sensing, 3rd edition, CRC Press, 2024 (invited and submitted book chapter).
Using Different Loss Functions with YOLACT++ for Real-Time Instance Segmentation
46th IEEE International Conference on Telecommunications and Signal Processing (TSP), July, 2023.
Performance Analysis of Meta-Learning Based Bayesian Deep Kernel Transfer Methods for Regression Tasks
31st IEEE Signal Processing and Communications Applications Conference (SIU), 2023.
ORTPiece: An ORT-Based Turkish Image Captioning Network Based on Transformers and WordPiece
31st IEEE Signal Processing and Communications Applications Conference (SIU), 2023.
SiameseFuse: A Computationally Efficient and A Not-So-Deep Network to Fuse Visible and Infrared Images
Journal of Pattern Recognition, 129 (2022): 108712, 2022.
InfraGAN: A GAN Architecture to Transfer Visible Images to Infrared Domain
Pattern Recognition Letters 155 (2022): 69-76, 2022.
YOLODrone+: Improved YOLO Architecture for Object Detection in UAV Images
IEEE Conference on Signal Processing and Communications Applications (SIU), 2022.
A Hybrid 3D Eddy Detection Based on Surface Height and Velocity Field
IEE Vis Posters, 2022.
Deep Learning based 3D Brain Tumor Segmentation with Multispectral MRI
Computational Intelligence and Image Processing in Medical Applications, 119-133, 2022.
Segmentation of COVID-19 Infected Lung Area in CT Scans with Deep Algorithms
Computational Intelligence and Image Processing in Medical Applications, 33-48, 2022.
Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server
44th IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2021.
YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images
44th IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2021
(received Best Student Paper Award).
Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis
44th IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2021.
GRJointNET: Joint Completion and Part Segmentation on 3D Incomplete Point Clouds
IEEE Conference on Signal Processing and Communications Applications (SIU2021), June 2021.
Visual Object Tracking in Drone Images with Deep Reinforcement Learning
IEEE, 25th International Conference on Pattern Recognition (ICPR2020), ITALY 10 - 15 January 2021.
SyNet: An Ensemble Network for Object Detection in UAV Images
IEEE, 25th International Conference on Pattern Recognition (ICPR2020), ITALY 10 - 15 January 2021.
The Use of 3D Optical Flow, Feature-Tracking and Token-Tracking PetriNets to Analyze and Visualize Multiple Scales of Ocean Eddies
IEEE Vis Conference, received: SciVis Contest 2020 Honorable Mention Award (2nd Best Paper), 2020.
Connected and Autonomous Vehicles in the Deep Learning Era: A Case Study on Computer-Guided Steering
Handbook of Pattern Recognition and Computer Vision (6th Edition), World Scientific, ISBN: 978-981-121-106-5, 2020.
Deep Receiver Design for Multi-carrier Waveforms Using CNNs
43rd IEEE International Conference on Telecommunications and Signal Processing (TSP), July 2020.
Feature Matching with Similarity Domains Network
IEEE Conference on Signal Processing and Communications Applications, (SIU 2020), October 2020.
Similarity Domains Network for Modeling Shapes and Extracting Skeletons without Large Datasets
Handbook of Pattern Recognition and Computer Vision (6th Edition), World Scientific, ISBN: 978-981-121-106-5, 2020.
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks
IEEE Intelligent Vehicles Symposium (IV'19), 2019.
Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network
IEEE Conference on Computer Vision and Pattern Recognition (CVPR workshop proceedings 2019), 2019.
Similarity Domains Machine for Scale-invariant and Sparse Shape Modeling
IEEE Transactions on Image Processing, 28.2, pp. 534-545, 2019.
Coresets for Vector Summarization with Applications to Network Graphs
Proceedings of the 34th International Conference on Machine Learning (ICML), received: NVIDIA Pioneering Research Award, 2017.
The Path to COVIS: a review of acoustic imaging of hydrothermal flow regimes
Journal of Deep-Sea Research Part II, Vol. 121, pp.159-176 ,2015.
Visual Object Recognition with Image Retrieval
Handbook of Pattern Recognition & Computer Vision, World Scientific, (invited book chapter), 2015.
Activity Detection in Scientific Visualization
Visualization and Computer Graphics, IEEE Transactions on, vol.20, no.3, pp.377,390, 2014.
Image classification by multi-kernel dictionary learning
IEEE Asilomar Conference on Signals, Systems and Computers, 2014.
Activity Detection in Scientific Visualization (Invited Talk)
IEEE Visualization, 2014.
An interactive method for activity detection visualization
Large Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on, 2013 (Poster).
Event Detection for Hydrothermal Plumes: A case study at Grotto Vent
AGU Fall Meeting Abstracts 1, 05, 2012.
Group Dynamics in Scientific Visualization
Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on, 2012.
A Set of New Chebyshev Kernel Functions for Support Vector Machine Pattern Classification
Journal of Pattern Recognition, 44 (7), 1435-1447, 2011.
Supervised and Unsupervised Methods for Prostate Cancer Segmentation With Multispectral MRI
Journal of Medical Physics, Vol. 37, Issue:4, 2010.
Using K-NN SVMs for Performance Improvement and Comparison to K-highest Lagrange Multipliers Selection
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.
Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machine
IEEE International Symposium on Biomedical Imaging, 2009.
Generalized Chebyshev Kernels for Support Vector Classification
IEEE International Conference on Pattern Recognition (ICPR), 2008.
Support Vector Regression for Surveillance Purposes
MRCS - International Workshop on Multimedia Content Representation, Classification and Security, (Springer), 2006.
Support Vector Machines Based Target Tracking Techniques
IEEE 14th Signal Processing and Communications Applications, 2006
Book: A kernel study on Support Vector Machines: Generalized Chebyshev Kernels
LAP Lambert Academic Publishing , ISBN-10: 3838305574, 2009