Organizers

Kunal Chelani is a researcher at Ericsson in Sweden. He received his PhD from Chalmers University of Technology in 2025, working on privacy-preserving visual localization and mapping.

Martin Humenberger is a Director of Science at NAVER LABS Europe in France. His research interests are 3D vision in general and visual localization, camera pose estimation, visual features and, in particular, combining machine learning with geometry. He applies his research to mobile robotics and navigation. He is the author of numerous scientific publications and a regular organizer of international workshops in his fields of interest and expertise. Martin finished his Ph.D. studies in electrical engineering at Vienna University of Technology in 2011 with distinction. He spent a year at NASA's Jet Propulsion Laboratory as Caltech Postdoc before joining AIT Austrian Institute of Technology in Vienna where he was a senior scientist. Martin joined NAVER LABS Europe in 2017.

Fredrik Kahl is a professor at Chalmers University of Technology leading the Computer Vision Group. In 2026-2028, he will also be a Hi!Paris Visiting Chair at the IMAGINE research group, Ecole des Ponts ParisTech. His research focuses on geometric deep learning and 3D scene understanding, with core problems in 3D reconstruction, correspondences and visual localization with an emphasis on symmetry, equivariance and scalable learning. Current interests include generative models and applications in medical image analysis.

Zuzana Kukelova is an assistant professor at the Czech Technical University in Prague (CTU). She received her PhD from CTU in 2013 and her Master in 2005 from Comenius University in Bratislava, Slovakia. She was a Post-Doctoral Researcher at Microsoft Research Cambridge (2014-2016). Zuzana is an expert on solving minimal problems in 3D computer vision and methods for generating efficient solvers for systems of polynomial systems [CVPR’12,’16,’17,’18]. She is the co-author of the first automatic generator of efficient polynomial equation solvers based on Gr ̈obner bases [ECCV’08]. She has worked on absolute and relative camera pose estimation for (par- tially) uncalibrated [CVPR’08,ICCV’13, CVPR’15,ICCV’15,’17,CVPR’18,ICCV’19], semi-generalized [ICCV’21, WACV’23] and rolling shutter cameras [CVPR’15,’16,’20, ECCV’20, ACCV’18, TPAMI’20], as well as solvers based on SIFT correspondences [ICCV’19,ACCV’20,ECCV’22]. Zuzana has co-organized tutorials on minimal problems at ICCV’15 and CVPR’19, was / is an AC for 3DV’18, 3DV’19, ACCV’20, ACCV’22, CVPR’22, and CVPR’23, a program chair for 3DV’20, a general chair for 3DV’22, and is a program chair for ECCV’26.

Maxime Pietrantoni is a researcher at NAVER LABS Europe and a PhD student at Czech Technical University in Prague. During his studies, he worked on privacy-preserving visual localization, with a focus on learning privacy-preserving (image) segmentations.

Torsten Sattler is a Senior Researcher at CTU. Before, he was a tenured associate professor at Chalmers Uni- versity of Technology. He received a PhD in Computer Science from RWTH Aachen University, Germany, in 2014. From Dec. 2013 to Dec. 2018, he was a post-doctoral and senior researcher at ETH Zurich. Torsten has worked on feature-based localization methods [PAMI’17], long-term localization [CVPR’18,ICCV’19, ECCV’20,CVPR’21] (see also the benchmarks at visuallocalization.net), localization on mobile devices [ECCV’14, IJRR’20], and using semantic scene understanding for localization [CVPR’18, ECCV’18,ICCV’19]. Torsten has co-organized tutorials and workshops at CVPR (’14,’15,’17-’20), ECCV (’18,’20), and ICCV (’17,’19), and was / is an area chair for CVPR (’18,’22,’23), ICCV (’21, ’23), 3DV (’18-’21), GCPR (’19,’21), ICRA (’19,’20), and ECCV (’20). He was a program chair for DAGM GCPR’20, a general chair for 3DV’22, and a program chair for ECCV’24.