معرفی
Professor Jiri Matas is a Vice Chancellor Fellow at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP). His primary research focuses on computer vision, robust estimation, and neural network applications in domains like autonomous systems, medical imaging, and audio-visual perception. He has contributed to advanced tracking algorithms, including discriminative filters and Siamese networks for object tracking, as well as methods for binaural sound processing and anomaly detection in autonomous vehicles.
His academic work spans over 50 peer-reviewed publications since 2020, covering topics such as robust geometric estimation (MAGSAC++), lightweight depth estimation architectures, and AI-driven species recognition systems for fungi and plants. Notable collaborations include developing the Danish Fungi 2020 dataset and deploying citizen-science platforms for mycology. He also explores interdisciplinary applications, such as transgenerational immunity in ant colonies and audio-based vehicle monitoring systems.
His grants and advising span both technical and biological domains, with labs focused on advancing perception systems in real-world conditions. Recent work emphasizes energy-efficient tracking (FEAR tracker), cross-modal learning (Binaural SoundNet), and handling prior shifts in classification tasks.
