Department of Artificial Intelligence, VICOS, University of Ljubljana
Matej Kristan is a full professor and a vice chair of the department of artificial intelligence at the Faculty of Computer and Information Science, University of Ljubljana. He leads the Visual object tracking VOT initiative, is president of the IAPR Slovenian pattern recognition society and Associate Editor of IJCV. He has co-organized over thirteen workshops and conferences, he received twenty research excellence and teaching awards, and several best paper awards, among them the BMVC 2022 best paper award. His research interests include visual object tracking, few-shot detection, perception methods for autonomous boats, anomaly detection, and machine-learning-based physics prediction models. According to Google scholar, his works have been cited over 12.000 times, his h-index is 42.
Center for Machine Perception (CMP), Czech Technical University in Prague
Giorgos Tolias is an associate professor at the Czech Technical University (CTU) in Prague and a researcher and team lead within the Visual Recognition Group (VRG). He obtained his PhD from the National Technical University of Athens (NTUA) in 2013 and later held postdoctoral research positions at Inria-Rennes and CTU. He is a recipient of a starting Junior Star grant from the Czech Science foundation (2021-2025), along with research grants from Naver Labs Europe, Google, and Facebook. In 2017, he received an honorable mention for Best Science Paper at BMVC. His research is regularly published in top computer vision conferences (CVPR, ICCV, ECCV) and journals (IJCV, PAMI). His research interests span visual representation and similarity learning, cross-domain and instance-level recognition.