Istanbul Technical University
Signal Processing for Computational Intelligence Group
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.
News
June 24, 2024
Novel Neural Style Transfer based data synthesis method for phase-contrast wound healing assay images
Our paper titled "Novel Neural Style Transfer based data synthesis method for phase-contrast wound healing assay images" is accepted by the Journal of Biomedical Signal Processing and Control. Read more here.
May 10, 2024
RamanFormer: A Transformer-Based Quantification Approach for Raman Mixture Components
Our paper titled "RamanFormer: A Transformer-Based Quantification Approach for Raman Mixture Components" is accepted by the Journal ACS Omega. Read more here.
Apr 6, 2024
HaLViT: Half of the Weights are Enough
Our paper titled "HaLViT.: Half of the Weights are Enough" is accepted by ELVM Efficient Large Vision Models, CVPR Workshop, 2024. Read more here.
Jan 15, 2024
Generated Compressed Domain Images to the Rescue: Cross Distillation from Compressed Domain to Pixel Domain
Our paper titled "Generated Compressed Domain Images to the Rescue: Cross Distillation from Compressed Domain to Pixel Domain" is accepted by 2024 IEEE International Symposium on Circuits and Systems (ISCAS). Read more here.
Dec 21, 2023
Science Will Win with Young People!
Within the scope of the Science Will Win with Young People project, students showed great interest in the online science event titled "Green Artificial Intelligence: Monitoring the Environment" organized by Prof. Behçet Uğur Töreyin on December 20.
Nov 4, 2023
The Best Thesis Award among All ASELSAN Akademi Theses in Computer Vision
The M.S. thesis, “Compressed Domain Image Classification with Sub-band Data Fusion” by Mr. Berk Arıcan was chosen to be the best thesis among all ASELSAN Akademi theses in computer science in 2023. Mr. Arıcan’s thesis was supervised by Prof. Behçet Uğur Töreyin.