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
May 8, 2026
RamanFormerSSL: A Self-Supervised Learning Based Transformer Model for Raman Mixture Component Quantification
Our paper titled "RamanFormerSSL: A Self-Supervised Learning Based Transformer Model for Raman Mixture Component Quantification" is published in the journal Neural Computing and Applications. Read more here.
April 5, 2026
IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)
IEEE MMSP 2026 will be held on September 22-24, 2026, in Istanbul, Türkiye. Read more here.
March 27, 2026
Restoring Underwater Images from Turbidity and Motion Blur: A Three-Step Framework
Our paper titled "Restoring Underwater Images from Turbidity and Motion Blur: A Three-Step Framework" is published in the ITU Journal on Future and Evolving Technologies. Read more here.
February 9, 2026
Time-Series Forecasting and Evaluation on City Sensing Data: Pedestrian and Microclimate Benchmarks
Our paper titled "Time-Series Forecasting and Evaluation on City Sensing Data: Pedestrian and Microclimate Benchmarks" is published in the journal IEEE Access. Read more here.
June 27, 2025
Restoration and Enhancement of Historical Manuscript Images Using Diffusion Model
Our paper titled "Restoration and Enhancement of Historical Manuscript Images Using Diffusion Model" is accepted to 35th IEEE International Workshop on Machine Learning for Signal Processing. Read more here.
October 16, 2024
Collection: Wound Healing Assay Dataset (WHAD) and Cell Adhesion and Motility Assay Dataset (CAMAD)
Our paper titled "Collection: Wound Healing Assay Dataset (WHAD) and Cell Adhesion and Motility Assay Dataset (CAMAD)" is published in the inaugural volume of the IEEE Data Descriptions Journal. Read more here.
September 28, 2024
CNN-based server state monitoring and fault diagnosis using infrared thermal images
Our paper titled "CNN-based server state monitoring and fault diagnosis using infrared thermal images" is published in the journal Soft Computing. Read more here.
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 to 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.