About Marina Marie-Claire Höhne: Marina Marie-Claire Höhne née Vidovic received her masters degree in Technomathematics from the Technical University of Berlin in 2012. Afterwards she worked as a researcher at Ottobock in Vienna, Austria, on time series data and domain adaptation for controlling prosthetic devices. In 2014 she started her PhD on explainable AI and received the Dr. rer. nat. degree from the Technical University of Berlin in 2017. After one year maternal leave, she continued working at the machine learning chair at TU Berlin as a postdoctoral researcher. In 2020 she started her own research group UMI Lab dealing with explainable artificial intelligence at the Technical University of Berlin. Moreover, since 2021 she is a junior fellow at the Berlin Institute for Foundations of Learning and Data and a fellow of the ProFiL excellence program. Since 2021 she has a secondary employment as Associate Professor at the Arctic University of Norway.

About Michal Irani : Michal Irani is a Professor at the Weizmann Institute of Science, Israel. She received her PhD in Computer Science from the Hebrew University of Jerusalem (1994). During 1993-1996 she was a member of the Vision Technologies Laboratory at the Sarnoff Research Center (Princeton). She joined the Weizmann Institute in 1997. Michal's prizes and honors include the David Sarnoff Research Center Technical Achievement Award (1994), the Yigal Alon three-year Fellowship for Outstanding Young Scientists (1998), the Morris L. Levinson Prize in Mathematics (2003), the IAPR Maria Petrou Prize for outstanding contributions to the fields of Computer Vision and Pattern Recognition (2016), the Landau Prize in Artificial Intelligence (2019), and the Rothschild Prize in Mathematics and Computer Science (2020). She received the ECCV Best Paper Award in 2000 and in 2002, and was awarded the Honorable Mention for the Marr Prize in 2001 and in 2005. In 2017 Michal received the Helmholtz Prize – the “Test of Time Award” (for the paper “Actions as space-time shapes”).

About Tatiana Tommasi: Tatiana Tommasi is Associate Professor at Polytechnic University of Turin, Italy and an affiliated researcher at the Italian Institute of Technology. She pioneered the area of transfer learning in computer vision and has extensive experience in domain adaptation, generalization and multimodal learning with applications for robotics and medical imaging. After receiving her PhD from the École Polytechnique Fédérale de Lausanne, Switzerland (2013), she worked as a post-doctoral researcher at KU Leuven with Tinne Tuytelaars (2013-15) and at University of North Carolina at Chapel Hill, in the research group headed by Prof. Tamara Berg and Alex Berg, collaborating with Svetlana Lazebnik at the University of Illinois at Urbana-Champaign (2015-17). Before moving to Turin Tatiana was an assistant professor at Sapienza University of Rome (2017-18). Tatiana is Ellis Scholar and director of the Ellis Unit in Turin.

About Angela Yao: Angela Yao is a Dean's Chair Assistant Professor at the National University of Singapore's School of Computing. She received a Ph.D. from ETH Zurich and a BASc from the University of Toronto. Angela leads the Computer Vision and Machine Learning group, with a special focus on vision-based human motion analysis. She is the recipient of the German Pattern Recognition (DAGM) award (2018) and Singapore’s National Research Foundation's Fellowship in Artificial Intelligence (2019).

About Djamila Aouada: Prof. Djamila Aouada is Assistant Professor/Senior Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), at the University of Luxembourg, and head of the Computer Vision, Imaging and Machine Intelligence (CVI2) research group. She also heads the Computer Vision Lab and co-heads the Zero-Gravity Space Lab. Prof. Aouada received the State Engineering degree (Ingéniorat d’État) in electronics in June 2005, from the École Nationale Polytechnique (ENP), Algiers, Algeria, and the Ph.D. degree in electrical engineering in May 2009 from North Carolina State University (NCSU), Raleigh, NC, USA. Prof. Aouada has been leading the computer vision activities at the SnT since 2009. She attracted several national, industrial and European projects. She has supervised and co-supervised 9 PhD theses and is currently the main supervisor of 7 PhD Candidates. She has worked as a consultant for multiple renowned laboratories (Los Alamos National Laboratory, Alcatel Lucent Bell Labs., and Mitsubishi Electric Research Labs.). Her research interests span the areas of signal and image processing, computer vision, pattern recognition and data modelling. Prof. Aouada is Senior Member of the IEEE, member of the IEEE Signal Processing Society, IEEE WIE, INSTICC and the Eta Kappa Nu honor society (HKN). She has served as Chair of the IEEE Benelux Women in Engineering Affinity Group from 2014 to 2016, Chair of the SHARP challenge and workshop in conjunction with ECCV 2020, CVPR 2021 and CVPR 2022. She also served as Chair of the SPARK challenge at ICIP 2021, and co-organizer of the AI4Space workshop at ECCV 2022, and Program Chair of 3DV 2021 and Area Chair of 3DV 2020 and 3DV 2022. She is the co-author of four IEEE best paper awards.

About Angela Dai: Angela Dai is an Assistant Professor at the Technical University of Munich where she leads the 3D AI group. Prof. Dai's research focuses on understanding how the 3D world around us can be modeled and semantically understood. Previously, she received her PhD in computer science from Stanford in 2018 and her BSE in computer science from Princeton in 2013. Her research has been recognized through a Eurographics Young Researcher Award, ZDB Junior Research Group Award, an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention, as well as a Stanford Graduate Fellowship.