Computer Vision Research Group (CVRG)

Group targets to conduct research on the cutting-edge topics of computer vision related research areas such as:

Visual localization
Vision for autonomous driving and ADAS
Visual object detection/classification
3D reconstruction from images
Omnidirectional (fisheye and catadioptric) cameras
Object tracking, Vision for robotics

Members

Semih Orhan

PhD Student

Research interests:

Machine Learning
Computer Vision

Ph.D. : Computer Engineering, Izmir Institute of Technology (ongoing)

Yagiz Nalcakan

PhD Student

Yağız Nalçakan received his B.Sc. degree from Trakya University and he received M.Sc. degree from Istanbul University – Cerrahpasa. Currently, he is a Ph.D. student at Izmir Institute of Technology.

Research Interests:

Computer Vision
Deep Learning

B.Sc. : Computer Engineering, Trakya University (2015)

M.Sc. : Computer Engineering, Istanbul University (2019)

Ph.D. : Computer Engineering, Izmir Institute of Technology (ongoing)

Yalin Bastanlar

Associate Professor (Principal Investigator)

I studied civil engineering at the Middle East Technical University (METU) and obtained B.S. degree in 2001. I joined METU Informatics Institute for my graduate studies where I started to work on computer vision. I obtained M.S. and Ph.D. degrees from the Information Systems Department of Informatics Institute in April 2005 and July 2009, respectively. During my Ph.D. studies, I mostly worked on 3D computer vision especially when omnidirectional cameras are included. I was with the Perception Group at INRIA Rhone-Alpes as a visiting researcher for six months in 2008. I conducted a post-doctoral research visit to Oxford Brookes Vision Group in 2010. In 2011, I started as an Assistant Professor at the Department of Computer Engineering, Izmir Institute of Technology. In 2017, I became an Associate Professor at the same department.

Research Interests:
· 3D reconstruction from images
· Calibration and epipolar geometry of omnidirectional cameras
· Object detection/classification using cameras
· Vision for robots, visual odometry
· Machine learning for machine vision

Panoramic Image Based Localization Improved with Spherical Representations and Semantic Descriptors

Prediction of Intended Maneuvers of Surrounding Vehicles for Driver Assistance Systems

Recent News

Members

Semih Orhan

PhD Student

Yagiz Nalcakan

PhD Student

Yalin Bastanlar

Associate Professor (Principal Investigator)