Gerard Pons-Moll is a Professor at the University of Tübingen, at the department of Computer Science. He is also the head of the Emmy Noether independent research group "Real Virtual Humans", senior researcher at the Max Planck for Informatics (MPII) in Saarbrücken, Germany, and faculty at the IMPRS-IS (International Max Planck Research School - Intelligent Systems in Tübingen) and faculty at Saarland Informatics Campus. His research lies at the intersection of computer vision, computer graphics and machine learning -- with special focus on analyzing people in videos, and creating virtual human models by "looking" at real ones. His research has produced some of the most advanced statistical human body models of pose, shape, soft-tissue and clothing (which are currently used for a number of applications in industry and research), as well as algorithms to track and reconstruct 3D people models from images, video, depth, and IMUs.
His work has received several awards including the prestigious Emmy Noether Grant (2018), a Google Faculty Research Award (2019), a Facebook Reality Labs Faculty Award (2018), and recently the German Pattern Recognition Award (2019), which is given annually by the German Pattern Recognition Society to one outstanding researcher in the fields of Computer Vision and Machine Learning. In 2020 he received a Snap-Research gift. His work got Best Papers Awards BMVC’13, Eurographics’17, 3DV'18 and CVPR'20 and has been published at the top venues and journals including CVPR, ICCV, Siggraph, Eurographics, 3DV, IJCV and PAMI. He served as Area Chair for ECCV'18, 3DV'19, SCA'18'19, FG'20, ECCV'20. He will serve as Area Chair for CVPR'21, IJCAI'21 and 3DV'20.
Awards and grants:
|Winner of all tracks of the ECCV'20 Challenge with J. Chibane||2020|
|Best Student Paper Award Honorable Mention of CVPR'20 (with M. Habermann, W. Xu, M. Zhollhoefer, Christian Theobalt)||2020|
|Snap Research Gift||2020|
|German Pattern Recognition Award||2019|
|Outstanding Reviewer Award of CVPR'19||2019|
|Google Faculty Research Award||2019|
|Emmy Noether starting grant||2018|
|Facebook Reality Labs Faculty Research Award||2018|
|Best Student Paper Award of 3DV'18 (with M. Omran, C.Lassner, P. Gehler, B. Schiele)||(pdf)||2018|
|Best Paper Award at Eurographics'17 (with T. von Marcard, B. Rosenhahn and M.J. Black)||(pdf)||2017|
|Starting grant from the Zentrum Digitialisierung Bayern (ZD.B) (Declined)||2017|
|Best Paper Award at BMVC'13 (with J. Taylor, J. Shotton, A. Hertzmann & A. Fitzgibbon)||(pdf)||2017|
|Ph.D degree "with distinction" for the first time in 10 years at the Institute for Information Processing at the Leibniz University of Hannover||2014|
|Vodafone Foundation Fellowship. Awarded to outstanding graduates at UPC to conduct graduate research at USA||2007|
|Program Chair of 3DV 2021||2021|
|Area Chair CVPR||2021|
|Area Chair IJCAI||2021|
|Area Chair ECCV||2020|
|Area Chair 3DV||2020|
|Area Chair FG (Face and Gesture)||2020|
|Area Chair 3DV||2019|
|Area Chair ECCV||2018|
|International program committee* Pacific Graphics (PG), Motion Interaction and Games (MIG)|
* equivalent to Area Chair in vision conferences
|International program committee SCA (Symposium on Computer Animation), CASA (Computer Animation and Social Agents)||2017, 2018|
|Workshop chair ICCV'17, ECCV'18, ECCV'20||2017, 2018|
|Tutorial organization ICCV'15, Siggraph'16||2015, 2016|
|Reviewer Siggraph, Siggraph Asia||since 2016||Reviewer of Eurographics||2018, 2019|
|Program committee CVPR, ICCV, ECCV||since 2012|
|Program committee NIPS||2017|
|Program committee ICML||2018|
|Reviewer of T-PAMI, IJCV||since 2013|
|Reviewer of Transactions on Visualization and Computer Graphics (TVCG)||since 2013|
|Reviewer of ISMAR, BMVC, ACCV, Transactions on Circuits and Systems for Video Technology (TCSVT)||since 2013 (some years only)|
|Grant Reviewer for German Research Foundation (DFG), French National Research Agency (ANR), Israel Science Foundation (ISF).||since 2017|
|Numerous invited talks. Examples: workshops of CVPR'18, CVPR'19, ICCV'19, ICCV'11, VR-days'18, and many research institutions, see talks|
|PhD committee: INRIA'17,'19, EPFL'18, Sapienza'19, Braunschweig'20|
|Associate Member of Center for Learning Systems (ETH-MPI-IS)||2015-2017|
|Since 12/2018||Emmy Noether Independent Group Leader & Senior researcher at Max Planck Institute for Informatics
(MPI-Inf), Saarbruecken. |
Junior Faculty at Saarland Informatics Campus (SIC)
|09/2017 - 09/2018||Research Leader, Max Planck Institute for Informatics, Saarbruecken, head of Real Virtual Humans|
|09/2015 - 09/2017||Research Scientist, Max Planck Institute for Intelligent Systems (MPI-IS), Tuebingen|
|03/2014 - 09/2015||PostDoc, Max Planck Institute for Intelligent Systems, Tuebingen|
|02/2014||PhD degree (with distinction) from the Leibniz University of Hannover.|
Thesis: ``Human Pose Estimation from Video and Inertial Sensors''.
|10/2012 - 02/2014||PhD student (until 09/2013 at Leibniz U. of Hannover, from 09/2013 until 02/2014 at MPI-IS) |
|07/2012 - 10/2012||Research Intern, Microsoft Research Cambridge|
|01/2012 - 06/2012||Research Visitor, University of Toronto|
|02/2009 - 01/2012||PhD student at the Leibniz University of Hannover.|
|01/2007 - 08/2008||Master Thesis at Northeastern University, Boston, USA|
|[2002 - 08/2008]||Telecommunications Engineering B.S. and M.Sc. Technical University of Catalonia. |
Thesis: ``4D Cardiac MRI Segmentation and Surface Reconstruction''.
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
(First two authors contributed equally)
Oral, Best paper finalist
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
in Advances in Neural Information Processing Systems (NeurIPS), 2020.
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
in ACM Transactions on Graphics, (Proc. SIGGRAPH), vol. 39, no. 4, 2020.
DeepCap: Monocular Human Performance Capture Using Weak Supervision
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Oral - Best Student Paper Honorable Mention
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
in ACM Transactions on Graphics, (Proc. SIGGRAPH Asia), vol. 37, no. 6, 185:1-185:15 2018.
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
in European Conference on Computer Vision (ECCV), 2018.
3D Poses in the Wild (3DPW) dataset available to download!
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
in Computer Graphics Forum 36(2), Proceedings of the 38th Annual Conference of the European Association for Computer Graphics (Eurographics), 349-360 2017.
Best Paper Award
PCA-enhanced stochastic optimization methods
in German Conference on Pattern Recognition (GCPR), 2012.
4D Cardiac Segmentation of the Epicardium and Left Ventricle
in World Congress of Medical Physics and Biomedical Engineering (WC), 2009.
Parametric Modeling of the Beating Heart with Respiratory Motion Extracted from Magnetic Resonance Images
in IEEE Computers in Cardiology (CINC), 2009.