Computer vision research group

For further information please visit iCV homepage at

Introducing the Intelligent Computer Vision (iCV) Lab
Established in 2013, the iCV Lab at the Technology Institute of the University of Tartu stands as a beacon of innovation in the European computer vision landscape. At iCV, our quest for knowledge spans a diverse array of applications in computer vision, human behavior analysis, and 3D modeling. Our team, comprising highly skilled and motivated individuals, is at the forefront of technological advancements in these domains.
Our research endeavors encompass a broad spectrum of areas:

  • Image Processing: We delve into sophisticated techniques like watermarking, enhancing image illumination and contrast, as well as pioneering in the realms of Image and Video Super-Resolution (SR), Coding and Compression. Our work in High Dynamic Range (HDR) imaging and Tone Mapping (TM), alongside Video Coding, is reshaping the boundaries of visual media.
  • Human-Computer Interaction: Our lab is a hub for groundbreaking research in Multimodal Emotion Recognition and Gesture Recognition. Notably, our developments in the Soccer NAO Robots Vision System are setting new standards in robotic visual perception.
  • Machine Learning: We are at the vanguard of Late and Early Fusion methodologies, Supervised and Semi-Supervised Learning, and cutting-edge Deep Learning techniques. Our approach is continually refined to address complex real-world challenges.
  • Computer Graphics: Our expertise extends to 3D Image Modeling, sophisticated Visualization techniques, Retexturing, and immersive Virtual Reality experiences.

Central to our mission is the pioneering work in object recognition, particularly its application in the development of autonomous vehicles. This research is critical in advancing the safety and efficiency of self-driving cars, a cornerstone in the future of transportation.
In the financial sector, our lab is making significant strides in credit score analysis. By leveraging advanced machine learning algorithms, we provide nuanced insights that are transforming how financial services assess and manage credit risks.
Furthermore, our exploration of Large Language Models (LLMs) and generative AI is revolutionizing the sphere of social media. By developing safer, more intelligent algorithms, we are paving the way for new forms of digital interaction that prioritize user security and ethical AI practices.
At the iCV Lab, our commitment to excellence and innovation is unwavering. We are not just conducting research; we are shaping the future of technology, one breakthrough at a time. Our work, rooted in scientific rigor and creative exploration, is a testament to our role as leaders in the evolving landscape of computer vision and AI.

Areas of research
The iCV Lab specializes in image processing, human-computer interaction, machine learning, and computer graphics, with a focus on applications such as object recognition for autonomous vehicles, credit score analysis for financial services, and the use of LLMs and generative AI in social media.


Computer Vision; Machine Learning; Human-Computer Interaction; Autonomous Systems; Generative AI; Image Processing; Financial Analytics


Key people:

Assoc. Prof. Cagri Ozcinar

Dr. Egils Avots


Gholamreza Anbarjafari
+372 737 4855
+372 5886 5559
Gholamreza Anbarjafari
+372 737 4855
+372 5886 5559