Home About Research Publications Lectures Teaching Academic Collaborators Personalia Keynote Invited Popular Misc "3D Shape Correspondence with Functional Algebra", New England Symposium on Graphics, MIT, USA, 29 April 2018. "Partial functional maps: dense intrinsic correspondence between deformable 3D objects with missing parts and occlusions", PACM IDeAS Seminar, Princeton University, USA, 18 April 2018. "Geometric deep learning on graphs and manifolds: going beyond Euclidean data", SRI International, Princeton, USA, 17 April 2018. "Geometric deep learning on graphs and manifolds: going beyond Euclidean data", PACM Colloquium, Princeton University, USA, 16 April 2018. "Geometric deep learning on graphs and manifolds: Going beyond Euclidean data", Google Research, New York, USA, 21 February 2018. "Deep functional maps: intrinsic structured prediction for dense shape correspondence", IPAM Workshop on New Deep Learning Techniques, UCLA, USA, 5 February 2018. "Geometric deep learning on graphs and manifolds: Going beyond Euclidean data", Harvard Computational and Applied Science Colloquium, USA, 26 January 2018. "Going beyond Euclidean data: 3D face recognition, depth sensors, and geometric deep learning", Harvard Computer Science Colloquium, USA, 30 November 2017. "Geometric deep learning: Going beyond Euclidean data", Workshop on Data Science, University of North Carolina, USA, 16 November 2017. "Partial functional maps: dense intrinsic correspondence between deformable 3D objects with missing parts and occlusions", Applied mathematics seminar, Yale University, 14 November 2017. "Deep learning on graphs: going beyond Euclidean data", Applied Statistics Workshop, Harvard University, USA, 1 November 2017. "Geometric deep learning: going beyond Euclidean data", MIT CSAIL, USA, 25 October 2017. "Deep functional maps: intrinsic structured prediction for dense shape correspondence", MIT Faculty Retreat, 9 October 2017. "Partial functional maps: dense intrinsic correspondence between deformable 3D objects with missing parts and occlusions", MIT Graphics lunch, 27 September 2017. "Geometric deep learning: beyond Euclidean data", INRIA Rhône-Alpes, Grenoble, France, 31 March 2017. "Spectral and learning methods in 3D shape analysis", Imperial College London, UK, 24 February 2017. "Spectral and learning methods in 3D shape analysis", University College London, UK, 12 January 2017. "Learning on manifolds and graphs with intrinsic CNNs", Workshop on Functoriality in Geometric Data, Dagstuhl, Germany, 9 January 2017. "Partial functional correspondence", Apple, Herzlia, Israel, 30 November 2016 "Non-smooth manifold optimization", International Conference on Imaging, Vision and Learning based on Optimization and PDEs, Bergen, Norway, 29 August 2016 "Geometric deep learning", IEEE Workshop on Image, Video and Multidimensional Signal Processing (IVMSP), Bordeaux, France, 11 July 2016 "Partial functional maps", Calculus of Variations, Optimal Transportation, and Geometric Measure Theory, Lyon, France, 7 July 2016 "Non-smooth manifold optimization with applications to machine learning and pattern recognition", Tel-Aviv University, Israel, 3 April 2016 "Geometric deep learning", IBM Research, Haifa, Israel, 30 March 2016 "Geometric deep learning", Department of Computer Science, University of Zurich, Switzerland, 2 March 2016 "Deep learning on geometric data with intrinsic convolutional neural networks", IPAM Workshop on Shape Analysis and Learning, UCLA, USA, 9 February 2016 "Deep learning on geometric data", Mathematics and Image Analysis (MIA), Institut Henry Poincaré, Paris, 18 January 2016 "Multimodal spectral geometry of graphs and manifolds", Directions in Data Science, USI, Lugano 26 November 2015 "Deep learning on geometric data", Directions in Data Science, USI, Lugano 19 November 2015 "Deep learning on geometric data", Colloquium on Computer Vision and Pattern Recognition, Czech Technical University, Prague, Czech Republic, 12 November 2015 "MADMM: a generic algorithm for non-smooth optimization on manifolds", Workshop on Riemannian and nonsmooth optimization, Universitè Catholique de Louvain, Louvain-la-Neuve, Belgium. 25 September 2015 "Efficient method for non-smooth manifold optimization with applications to machine learning and pattern recognition", Department of Computer Science, University of Geneva, Switzerland, 2 July 2015 "Bridging the gap between geometry and signal processing", Media Lab, MIT, Boston, USA, 5 June 2015 "Efficient representation of visual and geometric information using supervised sparse coding", Columbia University, New York, USA, 2 June 2015 "ShapeNet: learning 3D shape descriptors with convolutional neural networks on non-Euclidean manifolds", Institute of Advanced Study, Hong Kong University of Science and Technology, Hong Kong, April 2015 "Old new methods for manifold correspondence", BIRS Workshop on Laplacians and Heat Kernels: Theory and Applications, Banff, Canada, March 2015 "Manifold correspondence: a signal processing perspective", Microsoft Research Cambridge, UK, 3 February 2015 "Synthesizing shapes from intrinsic operators", 3DV Workshop on Geometry Analysis and Processing using Functional Maps, Tokyo, Japan, 8 December 2014 "New old ways for dealing with geometric data", Department of Computer Science, Interdisciplinary Center, Herzliya, Israel, 20 November 2014 "New old ways for dealing with geometric data", Department of Applied Mathematics, Tel-Aviv University, Israel, 18 November 2014 "Shape-from-operator and Coulomb shapes", Department of Computer Science, Technion, Haifa, Israel, 22 October 2014 "Dense non-rigid 3D correspondence: how far can we go?", University of Verona, Italy, 14 March 2014 "Similarity-preserving hashing methods for large-scale computer vision and multimedia retrieval", IIT Genova, 6 February 2014 "Multimodal spectral geometry of graphs and manifolds", University of Chile, Santiago, Chile, 22 January 2014 "Similarity-preserving hashing methods for large-scale computer vision and multimedia retrieval", University of Chile, Santiago, Chile, 22 January 2014 "Multimodal manifold analysis using joint diagonalization of Laplacian operators", Graphs & Networks Interdisciplinary Assembly and Lectures, EPFL, Lausanne, Switzerland, 5 November 2013 "Dense correspondence between 3D shapes using sparse coding", EPFL, Lausanne, Switzerland, 4 November 2013 "Joint diagonalization in computer vision", IST Symposium on Computer Vision and Machine Learning, IST Austria, Vienna, 27 September 2013 "How much information do we need to find correspondence between non-rigid shapes?", Berlin Colloquium on Scientific Visualization, Zuse Institute, Berlin, Germany, 6 May 2013 "Sparse modeling of intrinsic correspondences", BASP Frontiers Workshop, Villars-sur-Ollon, Switzerland, 29 January 2013 "Joint diagonalization methods in shape analysis", IEEE Convention of Electrical and Electronic Engineers in Israel, Eilat, Israel, 15 November 2012 "Multimodal diffusion geometry and its applications in dimensionality reduction", CECAM Workshop on Machine Learning in Atomistic Simulations, Lugano, Switzerland, 9 September 2012 "Diffusion descriptors for 3D shape analysis", SIAM Conference on Imaging Sciences, Philadelphia, USA, May 2012 "Geometric and visual computing", KBTU, Almaty, Kazakhstan, 23 April 2012 "Feature descriptor learning for large-scale vision applications", IPAM Workshop on Large-Scale Multimedia Search, Los Angeles, USA, 9 January 2012 "Similarity-sensitive hashing in Internet vision", University of Verona, Italy, 24 November 2011 "Intrinsic symmetry", Innovations for Shape Analysis: Models and Algorithms, Sloss Dagstuhl, Germany, 6 April 2011 "Heat diffusion descriptors for deformable shapes", Mini-Symposium on Multiscale and Diffusion, Weizmann Institute of Science, Israel, 3 November 2010 "Local and global diffusion geometry in non-rigid shape analysis", Seventh International Conference on Curves and Surfaces, Avignon, France, 25 June 2010 "Computational metric geometry", Workshop on Mathematical Methods in Information and Communication Technology, ETH, Zürich, Switzerland, 23 June 2010 "Computational metric geometry", Workshop on Computational Science, Institute of Computational Science, USI, Lugano, Switzerland, 21 June 2010 "Computational metric geometry: a new tool in image sciences", Colloquium, Department of Computer Science, Technion, Haifa, Israel, 25 May 2010 "Symmetry and regularity analysis in non-rigid shapes", EPFL, Lausanne, Switzerland, 27 April 2010 "ShapeGoogle: optimal invariant metrics for shape retrieval", SIAM Conference on Imaging Science, Chicago (IL), USA, 13 April 2010 "Geometric algorithms in shape analysis and synthesis", Parisian Master of Research in Computer Science (MPRI), École Nationale Supérieure des Télécommunications, Paris, France, 9 December 2009 Guest lecture "A journey to non-rigid world: metric approach to analysis of nonrigid shapes", Czech Technical University, Prague, Czech Republic, 16 December 2008 Four lectures on non-rigid shape analysis, MAIPCV Symposium, Sapporo, Japan, 20-21 November 2008 Lecture I - Introduction Lecture II - Numerical tools Lecture III - Invariant similarity Lecture IV - Invariant correspondence "A journey to nonrigid world", Technische Universität Wien, Austria, 14 December 2007 "Analysis of nonrigid shapes", California Institute of Technology, Pasadena (CA), USA, 14 November 2007 Comment by someone from the audience. "Face recognition: new technologies, new challenges", Technion Alumni Meeting, Haifa, Israel, 1 November 2006 "Multigrid multidimensional scaling", Multigrid methods course, Technion, Haifa, Israel, 4 January 2006 Guest lecture "Expression-invariant representation of faces", Mathematics in Image Analysis (MIA), Paris, France, 6 September 2004 "Sparse ICA for blind separation of images in scenes containing semireflection", SPIE Wavelets X conference, San Diego (CA), USA, 6 August 2003