Focus area: Foundations of ML: Computer Vision

I am an ELLIS PhD student in the Medical Image Computing department at the German Cancer Research Center (DKFZ). Before starting my PhD, I worked as a Junior Data Scientist at AstraZeneca in Gothenburg (Sweden) and as a Research Assistant at Uppsala University.

My current research focuses on improving model generalizability across clinical settings, with a particular emphasis on brain imaging. I am developing a stroke identification algorithm designed to perform robustly in multi-centric environments. I am also collaborating with the University of Amsterdam on analyzing temporal brain image data to extract patterns that enhance model generalization.

I have received several travel grants for international research stays during my PhD, as well as excellence scholarships during my Bachelor’s and Master’s studies.

I am an ELIZA and ELLIS Ph.D. student at the Technical University of Munich and TU Darmstadt, with co-supervision from the University of Oxford. My research focuses on unsupervised scene understanding in {2, 3, 4}D and representation learning. I am supervised by Daniel Cremers (CVG), Stefan Roth (VisInf), and Christian Rupprecht (VGG).

Prior to starting my Ph.D., I was a research intern at NEC Laboratories America (Princeton), where I worked with Biplob Debnath on controlling standardized image and video codecs for deep vision models using self-supervised learning.

During my studies, I worked at the Self-Organizing Systems Lab with Tim Prangemeier on 2D and 3D segmentation for biomedical applications, as well as generative approaches for live-cell in silico experiments. I also collaborated with the Artificial Intelligent Systems in Medicine Lab (led by Christoph Hoog Antink), focusing on ECG analysis using deep learning.

Prof Schnabel’s (*1969) field of research comprises medical image computing and machine learning. Her research focuses on intelligent imaging solutions and computer aided evaluation, including complex motion modelling, image reconstruction, image quality control, image segmentation and classification, applied to multi-modal, quantitative and dynamic imaging.

Since 2021 Julia Schnabel is Professor for Computational Imaging and AI in Medicine at TUM (TUM Liesel Beckmann Distinguished Professorship), jointly with Helmholtz Center Munich (Helmholtz Distinguished Professorship). She studied at TU Berlin (1993) and did a PhD at University College London (1998), followed by Postdocs at UMC Utrecht, King’s College London, and UCL. In 2007 she became first Associate Professor and in 2014 Full Professor of Engineering Science at University of Oxford, and from 2015 Chair in Computational Imaging at King’s College.

Professor at the DKFZ German Cancer Research Center.

I’m heading the subgroup on “Explainable Machine Learning”. Explainable learning shall open-up the blackbox of successful machine learning algorithms, in particular neural networks, to provide insight rather than mere numbers. To this end, we are designing powerful new algorithms on the basis of invertible neural networks and apply them to medicine, image analysis, and the natural and life sciences.

In addition, I’m interested in generic software bringing state-of-the-art algorithms to the end user and maintain the VIGRA image analysis library.

Prof. Dr. Marcus Rohrbach is a Full Professor (W3) at TU Darmstadt for Multimodal Reliable AI since 2023. He received his Ph.D. from Saarland University, working at the Max Planck Institute for Informatics with Prof. Dr. Bernt Schiele (2010-2014). During his postdoc at UC Berkeley with Prof. Dr. Trevor Darrell, USA, he pioneered multimodal deep learning. As a research scientist at FAIR (Fundamental AI Research, Meta, 2017-2023), he has scaled multimodal learning using multi-task and self-supervised methods and developed fundamental ideas for learning with rare and novel concepts, as well as continuous learning. In 2022, Dr. Rohrbach was awarded an Alexander von Humboldt Professorship for Artificial Intelligence for his outstanding scientific achievements, and in 2023, the LOEWE Spitzenprofessur.

Daniel Cremers received Bachelor degrees in Mathematics (1994) and Physics (1994), and a Master’s degree in Theoretical Physics (1997) from the University of Heidelberg. In 2002 he obtained a PhD in Computer Science from the University of Mannheim, Germany. Subsequently he spent two years as a postdoctoral researcher at the University of California at Los Angeles (UCLA) and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was associate professor at the University of Bonn, Germany. Since 2009 he holds the Chair of Computer Vision and Artificial Intelligence at the Technical University of Munich. His publications received several awards, including the ‘Best Paper of the Year 2003’ (Int. Pattern Recognition Society), the ‘Olympus Award 2004’ (now called ‘German Pattern Recognition Award’), the ‘2005 UCLA Chancellor’s Award for Postdoctoral Research’ and the ‘ECCV 2024 Koenderink Test of Time Award’. For pioneering research he received a Starting Grant (2009), two Proof of Concept Grants (2014 & 2018), a Consolidator Grant (2015) and an Advanced Grant (2020) by the European Research Council. Professor Cremers has served as associate editor for several journals including the International Journal of Computer Vision, the IEEE Transactions on Pattern Analysis and Machine Intelligence and the SIAM Journal of Imaging Sciences. He has served as area chair (associate editor) for ICCV, ECCV, CVPR, ACCV, IROS, etc, and as program chair for ACCV 2014. In 2018 he organized the largest ever European Conference on Computer Vision in Munich with 3300 delegates. He is member of the Bavarian Academy of Sciences and Humanities. He served as honorary member of the Dagstuhl Scientific Directorate. In December 2010 he was listed among “Germany’s top 40 researchers below 40” (Capital). On March 1st 2016, Prof. Cremers received the Gottfried Wilhelm Leibniz Award, the biggest award in German academia. The year 2022/23 he spent on sabbatical at Oxford University hosted by the Deparment of Engineering and as a visiting fellow of Exeter College. According to Google Scholar, Prof. Cremers has an h-index of 123 and his papers have been cited 79669 times. According to Guide2Research he is among the most influential computer scientists in Germany. From 2020 until 2023, he was listed among the top 10 most influential scholars in robotics of the last decade. Since 2023, he serves as President of the European Computer Vision Association. He engages as co-founder, advisor and business angel to several startups.

Stefan Roth received the Diplom degree in Computer Science and Engineering from the University of Mannheim, Germany in 2001. In 2003 he received the ScM degree in Computer Science from Brown University, and in 2007 the PhD degree in Computer Science from the same institution. Since 2007, he is on the faculty of Computer Science at Technische Universität Darmstadt, Germany, where he is currently full professor (W3). His research interests include learning approaches to scene understanding, image generation, and motion estimation as well as explainable AI. He received several awards, including the Olympus-Prize 2010 of the German Association for Pattern Recognition (DAGM), the Heinz Maier-Leibnitz Prize 2012 of the German Research Foundation (DFG), the Longuet-Higgins Prize 2020, as well as various paper awards. He is the recipient of two grants from the European Research Council (ERC), a Starting Grant in 2013 and a Consolidator Grant in 2020. He is a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS) and directs both the ELLIS Unit at TU Darmstadt and the DAAD-funded Zuse School ELIZA. He serves as program chair of CVPR 2022 and ECCV 2024, as well as regularly as an area chair for CVPR, ICCV, and ECCV. He is a member of the editorial board of the International Journal of Computer Vision (IJCV). He also serves on the scientific councils & boards of TU Darmstadt, TU Graz, Austria, as well as Idiap Research Institute, Switzerland.