Organizers

Yannis Avrithis is a Principal Investigator at the Institute of Advanced Research on Artificial Intelligence (IARAI), Austria. Before that he was at Athena RC (Greece), Inria (France), NKUA (Greece), and NTUA (Greece). He received the HDR qualification from University of Rennes 1, PhD and Diploma degrees from NTUA and MSc degree from Imperial College, University of London, UK. He has worked on feature detection [CVPR’09,ICCV’11,ECCV’12], visual representations for retrieval [ECCV’12,ICCV’13,CVPR’15,IJCV’16], image matching for retrieval [ICCV’11,IJCV’14,CVPR’19], retrieval benchmarks [CVPR’18], location recognition [MTAP’11,ICMR’17], searching on manifolds [CVPR’17,CVPR’18,ACC’18], nearest neighbor search [CVPR’14], clustering and object discovery [ICCV’13,ICCV’15,WACV’18], part learning [CVPR’17], visual attention and transformers for retrieval [WACV’22,WACV’23], metric learning [CVPR’18,CVPR’21,ICLR’22], semi-supervised learning [CVPR’19,ICPR’20], self-supervised learning [ECCV’22] and few-shot learning [CVPR’19,ECCV’20,ICPR’20, ICCV’21]. He was/is a reviewer of CVPR, ICCV, ECCV, ICLR, NeurIPS, CVIU, IJCV and T-PAMI, area chair of ACM-MM’17 and CVPR’22, program chair of CIVR’09 and associate editor of CVIU.

Eric Brachmann is a staff research scientist at Niantic. He received a doctorate in 2018 by the TU Dresden (Germany), and he was a post-doctoral researcher at the Visual Learning Lab of Prof. Rother at the University Heidelberg, until 2020. He works on object pose estimation [ICCV’15, CVPR’16,’17, ECCV’14,’18], camera re-localization [CVPR’16,’17,’18, ICCV’19,’21, 3DV’21, TPAMI’21, ECCV’22], discrete feature matching [ICCV’19, CVPR’20, ECCV’22], and robust estimation [CVPR’17,’21, ICCV’19]. He is an expert in scene coordinate regression, which is a core element in state-of-the-art learning-based localization techniques. He publishes his work at the leading computer vision conferences (ECCV, ICCV, CVPR), and is an active reviewer (CVPR, ICCV, ECCV, NeurIPS, T-PAMI, IJCV, JMLR). He co-organized three tutorials on visual localization [ECCV’18, ICCV’19,’21], and three workshops on 6D pose estimation of objects [ICCV’19,ECCV’20,’22].

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 (partially) uncalibrated [CVPR’08,ICCV’13, CVPR’15,ICCV’15,’17,CVPR’18,ICCV’19] and rolling shutter cameras [CVPR’15,’16]. 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 will be a program chair for ECCV’26.

Marc Pollefeys is Director of the Mixed Reality and AI Zurich Lab and the Director of Science leading a team of scientist and engineers to develop advanced perception capabilities for HoloLens at Microsoft. He is also a Professor of Computer Science at ETH Zurich and was elected Fellow of the IEEE in 2012. He is best known for his work in 3D computer vision, having been the first to develop a software pipeline to automatically turn photographs into 3D models, but also works on robotics, graphics and machine learning problems. Marc has extensively worked on visual localization and 3D mapping and has introduced the topic privacy-preserving localization [CVPR’19,ICCV’19] and privacy-preserving 3D reconstruction [ECCV’20] to the computer vision community. Marc has organized tutorials and workshops at the main computer vision conferences, has been an area and program chair at CVPR/ECCV/ICCV, and was a general chair for ECCV’14 and ICCV’19.

Torsten Sattler is a Senior Researcher at CTU. Before, he was a tenured associate professor at Chalmers University of Technology. He received a PhD in Computer Science from RWTH Aachen University, Germany, in 2014. From December 2013 to December 2018, he was a post-doctoral and senior researcher at ETH Zurich. Torsten has extensively 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], learning local features [CVPR’19], 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), ICCV (’21), 3DV (’18-’21), GCPR (’19,’21), ICRA (’19,’20), and ECCV (’20). He was a program chair for DAGM GCPR’20 and will be a program chair for ECCV’24.

Sudipta N. Sinha is a principal researcher working on Mixed Reality and AI at Microsoft. His research interests lie in computer vision, robotics and machine learning. He works on topics in the area of 3D scene reconstruction from images and video (structure from motion, visual odometry, stereo matching, multi-view stereo, image-based localization) which enable applications such as 3D scanning, augmented reality (AR) and UAV-based aerial photogrammetry.

He received his M.S. and Ph.D. from the University of North Carolina at Chapel Hill in 2005 and 2009 respectively. As a member of the UNC Chapel Hill team, he received the best demo award at CVPR 2007 for one of the first scalable, real-time, vision-based urban 3D reconstruction systems. He has served as an area chair for 3DV 2016, ICCV 2017, 3DV 2018, 3DV 2019, 3DV 2020 and 3DV 2022. He was a program co-chair for 3DV 2017 and has been serving as an area editor for the Computer Vision and Image Understanding (CVIU) journal since 2017. He has co-organized tutorials at 3DV 2016, 3DV 2017, IROS 2017 and ICCV 2021.

Giorgos Tolias is an associate professor at CTU in Prague and a researcher of the Visual Recognition Group. Before he was a post-doctoral researcher at Inria Rennes, while he obtained his PhD from NTU of Athens. He has co-organized workshops,tutorials and research competitions at multiple CVPR/ICCV/ECCV/NeurIPS conferences, is an associate editor for IJCV, and served as an AC for ECCV 2020. His co-authored work received the Best Science Paper Honourable Mention at BMVC 2017. His work and research interests include large scale image retrieval [ICCV’11,ICCV’13,IJCV’16,ICLR’16,CVPR’18], place recognition [ACMMM’10,ICMR’17,CVPR’18], and learning visual representations [ECCV’16,PAMI’19,CVPR’18, CVPR’19,ECCV’20,CVPR'22,WACV'23].