Welcome to the Computer Vision and Pattern Analysis Laboratory of Sabanci University.
The Computer Vision and Pattern Analysis Lab of Sabanci University was established in 2001 by Prof. Aytül Erçil, and was selected as a "potential center of excellence" by the European Union. Its founding objective has been designing and implementing industrially applicable solutions using computer vision and pattern analysis techniques that are also theoretically fulfilling.
The members of VPALab work closely with local and foreign universities, governmental and private organizations to foster high-technology growth in the region. This growth is facilitated through substantive research, from theory to practical application and the training of skilled graduate and undergraduate engineers and scientists.
The main sources of research funding for VPALab include EU programs, state agencies and the industry. It is clearly recognized that many of the exciting new developments occurring in the convergent digital era require more integrated, collaborative and cross-disciplinary approaches. In recognition of this, the collaborative efforts at VPALab range not only cross discipline among various faculty members within the group, but also include other groups (e.g. Bioinformatics, Material Science, Mechatronics, Microelectronics programmes of Sabanci University) and universities.
For more information please check our Research and Publications pages.
Latest news from VPA lab
Apr 2026 - New paper by Amirreza Khoshbakht about open-set medical image recognition at the PHAROS CVPR workshop.
Mar 2026 - New conference paper at IEEE WCCI'26 about retinal segmentation with R. A. A. Saleh, L Álvarez-Rodríguez, B. Cordon, E. Garcia-Martin, J. de Moura and M.Ortega.
Jan 2026 - New Tübitak 1001 Project by Dr. Hüseyin Özkan on Diffusion-assisted kernelized ray tracing for new view synthesis with Gaussian splatting.
Dec 2025 - Amna Amir has defended her MSc. thesis on multi-label contrastive learning for content-based image retrieval.
Nov 2025 - New article on change detection at IEEE GRSL by Elman Ghazaei using change state space models.
Oct 2025 - A paper in collaboration with the National Centre for Physics of Pakistan, on cross-domain hyperspectral image classification was accepted to IEEE WHISPERS.
Sep 2025 - New conf. paper at TIPTEKNO by Anıl Tan Aktan and Alaa Almouradi.
Sep 2025 - Sina Salehnia presented his paper on domain generalization at the IEEE Workshop on Machine Learning for Signal Processing (MLSP), and was received a best paper award!
Aug 2025 - A new paper on open-set domain generalization for hyperspectral image classification by Amirreza Khoshbakht was accepted to IEEE WHISPERS.