Invited Speakers

We are excited to invited the following speakers to our workshop:


Assistant Professor, 3D AI Group, Technical University of Munich (TUM), Germany

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.


Björn Ommer 


Full professor, Vision Learning Group, Ludwig Maximilian University of Munich (LMU), Germany


Björn Ommer is a full professor at LMU where he heads the Computer Vision Learning Group (previously Computer Vision Group Heidelberg). Before he was a full professor at the Department of Mathematics and Computer Science of Heidelberg University and also served as a one of the directors of the Interdisciplinary Center for Scientific Computing (IWR) and of the Heidelberg Collaboratory for Image Processing (HCI).


Georgia Gkioxari


Assistant Professor, Caltech


Georgia Gkioxari an Assistant Professor of Computing + Mathematical Sciences at Caltech. From 2016 to 2022, she was a research scientist at FAIR. She received her PhD from UC Berkeley, where she was advised by Jitendra Malik. she did her bachelors in ECE at NTUA in Athens, Greece, where she worked with Petros Maragos.

She is the recipient of the PAMI Young Researcher Award (2021). She and her teammates received the PAMI Mark Everingham Award (2021) for the Detectron Library Suite. She was named one of 30 influential women advancing AI in 2019 by ReWork and was nominated for the Women in AI Awards in 2020 by VentureBeat.


Jon Barron


Senior Staff Research Scientist, Google Research


Jon is senior staff research scientist at Google and a pioneer in NeRF. At Google he has worked on Glass, Lens Blur, HDR+, Jump, Portrait Mode, Portrait Light, and NeRF. He did his PhD at UC Berkeley, where he was advised by Jitendra Malik and funded by the NSF GRFP. He has received the C.V. Ramamoorthy Distinguished Research Award and the PAMI Young Researcher Award. We invite Jon to give a talk on his work on the latest progress on NeRF and scene representation.

Natalia Neverova

Research Lead, Generative AI, Meta


Natalia is a research lead at Facebook AI Research (FAIR), Meta. Before coming to FAIR, she completed my PhD at INSA Lyon and University of Guelph. She has also spent time as a visiting researcher at Google. Her research interests lie in statistical machine learning and computer vision with emphasis on deep learning, 3D understanding and AR/VR applications. She is invited to talk about her work on 3D generative models.


Research Scientist Manager, Generative AI, Meta

Peter is a research scientist manager at Meta. Peter joined Meta in 2014 as a Research Scientist. Currently, he is managing the Mobile Vision team on efficient computer vision algorithms for AR/VR devices. Before joining Facebook, he was Visiting Assistant Professor at Stanford University, Stanford, USA, working on personalized multimedia systems and mobile visual search. He is the organizer of the CVPR efficient computer vision (ECV) workshops in 2018 - 2022.


Siyu Tang

Assistant Professor, ETH Zürich, Switzerland

Siyu is an assistant professor at ETHz, where she leads the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Before joining ETH, she received an early career research grant to start her research group at the Max Planck Institute for Intelligent Systems in November 2017. She was a postdoctoral researcher in the same institute, advised by Dr. Michael Black. She obtained her PhD at the Max Planck Institute for Informatics in 2017, under the supervision of Professor Bernt Schiele. Her research focuses on perceiving and modeling humans to advance algorithmic foundations of scalable and reliable human digitalization, which potentially enables a broad class of real-world applications in Metaverse, such as Human Understanding and Avatar Generation.



Professor at  Princeton University and Research Scientist at Google Research


Thomas Funkhouser is a David M. Siegel Professor (Emeritus) at Princeton University and a research scientist at Google Research. His research focuses on computer graphics, computer vision, shape analysis, geometric modeling, and geometry processing.


Christian Theobalt

Director - Visual Computing and AI Department at MPI for Informatics Professor of Computer Science - Saarland University

Christian Theobalt is The Scientific Director of the Visual Computing and Artificial Intelligence Department at the Max-Planck-Institute for Informatics, Saarbruecken, Germany. He is also a Professor of Computer Science at Saarland University, Germany. Christian further is the Scientific Director of the Saarbruecken Research Center for Visual Computing, Interaction and Artificial Intelligence (VIA) at MPI for Informatics (a strategic partnership between MPI for Informatics ad Google). From 2007 until 2009 he was a Visiting Assistant Professor in the Department of Computer Science at Stanford University. He received his MSc degree in Artificial Intelligence from the University of Edinburgh, his Diplom (MS) degree in Computer Science from Saarland University, and his PhD (Dr.-Ing.) from the Max-Planck-Institute for Informatics. In his research he looks at algorithmic problems that lie at the intersection of Computer Graphics, Computer Vision and Machine Learning, such as: static and dynamic 3D scene reconstruction, neural rendering and neural scene representations, marker-less motion and performance capture, virtual humans, virtual and augmented reality, generative models, computer animation, intrinsic video and inverse rendering, computational videography, machine learning for graphics and vision, new sensors for 3D acquisition, as well as image- and physically-based rendering. He is also interested in using reconstruction techniques for human computer interaction. For his work, he received several awards, including the Otto Hahn Medal of the Max-Planck Society in 2007, the EUROGRAPHICS Young Researcher Award in 2009, the German Pattern Recognition Award 2012, the Karl Heinz Beckurts Award in 2017, and the EUROGRAPHICS Outstanding Technical Contributions Award in 2020. He is a Fellow of EUROGRAPHICS and of ELLIS (European Lab for Learning and Intelligent Systems). He received two ERC grants, an ERC Starting Grant in 2013 and an ERC Consolidator Grant in 2017. Christian is the co-founder of the award-winning startup the Captury offering a world leading solution for marker-less motion capture.