Istanbul Technical University
At SP4CING, we aim at designing signal processing techniques for computational intelligence applications. Our research covers problems in diversified fields, ranging from environmental monitoring to multi-modal surveillance, from bio-image analysis to remote sensing. Check out our research page for more information and learn more about our latest papers.
The International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) is the annual workshop organized by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM). This year, IWCIM takes place as a satellite workshop to IEEE ICASSP 2023, to be held in Rhodes Island, Greece on June 4 - 9, 2023. Read more here.
Reyhan Kevser Keser is the leading author of a recent paper on knowledge distillation titled as “PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation” which is available online in 'Expert Systems with Applications' journal. Read more here.
Onur Can Koyun is the leading author of a recent paper on small object detection titled as “Focus-and-Detect: A small object detection framework for aerial images” which has been published in 'Signal Processing: Image Communication' journal. Read more here.
The M.S. thesis, “Rotational Duplicate Layer: A New and Compact Convolutional Neural Network Layer” by Mr. Erdem Safa Akkul was chosen to be the best thesis in terms of thesis outcomes among all ASELSAN Akademi theses across all disciplines in 2022. Outcomes of Mr. Akkul’s thesis work include two international conference papers and one national patent disclosure. Mr. Akkul’s thesis was supervised by Prof. Behçet Uğur Töreyin.
Research assistants Reyhan Kevser Keser and Onur Can Koyun represented İTÜ at SAHA EXPO Fair 2022. They represented İTÜ with the project titled “Developing Video Object Detection Methods Based on Deep Learning” which is supervised by Prof. Behçet Uğur Töreyin and funded by ASELSAN.
The invention of the team, including group members Sibel Çimen Yetiş, Dursun Ali Ekinci, Abdulkerim Çapar and Behçet Uğur Töreyin, numbered TR 2019/19929, titled "Method and System for Automated Myelin Detection in Fluorescent Microscopy Images Using Machine Learning" was granted by the Turkish Patent and Trademark Office.