-
"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
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