January 24-27, 2023
Gyula, Hungary

Keynote speakers

Gabriela Csurka

NAVER LABS Europe

Gabriela Csurka is a Principal Scientist at NAVER LABS Europe, France. Her main research interests focus on computer vision, in particular on image understanding and representation, 3D reconstruction, visual localization as well as domain adaptation and transfer learning. She has contributed to more than 100 scientific communications, many in major CV conferences and journals. In 2017 she edited a Springer book entitled Domain Adaptation for Computer Vision Applications and recently she led the writing of two books appeared in 2022, namely Visual Domain Adaptation in the Deep Learning Era published by Morgan & Clayton and Semantic Image Segmentation: Two Decades of Research published by Now Publisher in the Foundations and Trends© in Computer Graphics and Vision series.

László A. Jeni

Carnegie-Mellon University

Laszlo A. Jeni is a Systems Faculty in the Robotics Institute at Carnegie Mellon University, Pittsburgh PA, USA, where he is directing the Computational Behavior Lab. His research interests are in Computer Vision and Computational Behavior Science, specifically in areas of modeling, understanding, and synthesizing human motion and behavior using diverse sensors. He received his MSc degree in Computer Science from Eotvos Lorand University, Hungary, and his Ph.D. in 2012 from the University of Tokyo, Japan. He received best paper awards (eg. at IEEE Conference on Human System Interaction (HSI'2011), Conference on Automatic Face and Gesture Recognition (FG'2015) Best Paper) and outstanding reviewer awards at NeurIPS 2019, CVPR 2017, and IEEE FG 2015, respectively. He has (co)authored over 60 publications in refereed journals and conferences, and he has organized Computer Vision challenges and workshops at ECCV, ICCV, and FG. His research has been supported by grants from the U.S. National Institutes of Health, National Science Foundation, Department of Defense, Facebook, Apple, and Fujitsu among other sponsors.

Szabolcs Vajna

AImotive

Szabolcs Vajna graduated from BME and received his Ph.D degree in theoretical solid-state-physics in 2017. During his PhD he spent a year at Boston University as a Fulbright scholar, and another year at University of Ljubljana, researching out-of-equilibrium phenomena in quantum systems. His first experience with data science was related to his master's thesis, and at the end of his PhD studies he participated in various data analysis contests (MOL BUBI Challenge 2nd prize, Cetli (Shopping List) Competition 2nd prize). He moved back to Hungary in 2017, and left academia to join aiMotive as an AI research scientist. Since the end of 2019 he has been leading the road model team of the aiDrive department. His research topics cover perception (lane detection, traffic sign detection), tracking, inertial and visual odometry, localization, trajectory planning and automatic annotation. He is the author of a patent about 3D lane detection using neural networks.