Organizers

Dr. Emanuele Rodolà (PhD 2012, University of Venice, Italy) is a post-doctoral researcher in the Institute of Computational Science at the University of Lugano. Until 2016 he was an Alexander von Humboldt post-doctoral fellow at TU Munich, Germany. In 2011 he had a visiting position at Tel Aviv University, and in 2012 he was a JSPS Research Fellow at The University of Tokyo. His research interests include deformable shape analysis, matching, reconstruction and learning, and has authored about 40 papers on these topics. He received a number of awards, including the Best Student Paper Award at 3DPVT 2010, the Best Paper Award at VMV 2015, the Best Paper Award at SGP 2016, and the Encouragement Award at the Annual Conference of the Robotics Society of Japan (2015). He has been serving in the program committees of the top rated conferences in computer vision (CVPR, ICCV, ECCV, ACCV, etc.), served as Area Chair at 3DV 2016, organized Eurographics SHREC contests, and was recognized as Outstanding Reviewer at CVPR (2013, 2015, 2016), ICCV (2015), and ECCV (2014). He gave tutorials and short courses in multiple occasions at EUROGRAPHICS and SIGGRAPH Asia. His work on 3D shapes was featured by the national Italian television (RAI - Cose dell'altro Geo) in 2012.

Dr. Jonathan Masci (PhD 2014, IDSIA - University of Lugano, Switzerland) is a post-doctoral researcher in the Institute of Computational Science, Faculty of Informatics at the University of Lugano. He obtained his PhD under the supervision of Prof. Juergen Schmidhuber at the Dalle Molle Institute for Artificial Intelligence (IDSIA), where he contributed to igniting the Neural Networks reNNaissance. His main research interests are Deep Learning, Machine Learning, and their applications to Computer Vision and Shape Analysis / Synthesis problems. He was visiting scholar at Mines ParisTech, and developed algorithms for the leading steel manufacturing company ArcelorMittal, with the first application of deep learning in this industry. He also participated in several pattern recognition contests and won, with better than human accuracy, the IJCNN German Traffic Sign competition in 2011. He serves in the program committees and as a reviewer for the top machine learning and computer vision conferences and journals (NIPS, PAMI, JMLR, IJCV, IJCAI, etc). After joining Prof. Michael Bronstein's group he started working on learning methods for shape analysis and contributed to the development of Intrinsic Convolutional Neural Networks, the first general and flexible framework for deep learning on non-Euclidean domains.

Prof. Michael Bronstein (PhD with distinction 2007, CS Technion, Israel) is a professor in the Institute of Computational Science, Faculty of Informatics at the University of Lugano (USI), Switzerland and a Research Scientist at Intel. He previously held positions at the Technion and Stanford University. His main research interest is in theoretical and computational methods for non-rigid shape analysis. He authored over 100 papers and the book Numerical geometry of non-rigid shapes. He was awarded the highly competitive ERC Starting Grant and invited as a Young Scientist to the World Economic, an honor bestowed on forty world’s leading scientists under the age of 40. Prof. Bronstein founded and chaired the Workshop on Non-rigid Shape Analysis and Deformable Image Alignment (NORDIA 2008-2012), the Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2011), the EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR 2012), as well as tutorials and short courses on topics related to 3D geometry and shape analysis in CVPR (2007, 2011, 2014), ICCV (2009, 2013), ECCV (2010), EUROGRAPHICS (2012), SGP (2013), SIAM IS (2010), and ICIP (2015). In addition to academic work, Michael is actively involved in commercial technology development and consulting to start-up companies. He was a co-founder and technology executive at Novafora (2005-2009) developing large-scale video analysis methods, and one of the chief technologists at Invision (2009-2012) developing cheap and accurate 3D sensors. Following the multi-million acquisition of Invision by Intel in 2012, Prof. Bronstein also serves as a Research Scientist in the Perceptual Computing division at Intel and is one of the key algorithm developers behind the Intel RealSense 3D camera.