Justin Solomon

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Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Yue WangNvidia ResearchVerified email at csail.mit.edu
Michael BronsteinDeepMind Professor of AI, University of OxfordVerified email at cs.ox.ac.uk
Mirela Ben-ChenAssociate Professor, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Sebastian ClaiciDatavantVerified email at datavant.com
Gabriel PeyréCNRS, DMA, Ecole Normale SupérieureVerified email at ens.fr
Mikhail YurochkinResearch Staff Member, IBM Research and MIT-IBM Watson AI LabVerified email at umich.edu
Edward ChienAssistant Professor, Boston UniversityVerified email at bu.edu
Dmitriy SmirnovResearch Scientist, NetflixVerified email at netflix.com
Marco CuturiApple / CREST-ENSAE.Verified email at apple.com
Vladimir G. KimResearch Scientist, AdobeVerified email at adobe.com
Ziwei LiuAssistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Yongbin SunMITVerified email at mit.edu
Mikhail BessmeltsevUniversité de MontréalVerified email at iro.umontreal.ca
Daryl DeFordWSU - Department of Mathematics and StatisticsVerified email at wsu.edu
Lingxiao LiMassachusetts Institute of TechnologyVerified email at mit.edu
Maks OvsjanikovProfessor, Ecole PolytechniqueVerified email at lix.polytechnique.fr
Andy NguyenStanford UniversityVerified email at stanford.edu
Michael KassNVIDIAVerified email at nvidia.com
Fernando de GoesPixar Animation StudiosVerified email at pixar.com

Justin Solomon

MIT

Verified email at mit.edu - Homepage

Computer graphics geometry processing machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Dynamic graph CNN for learning on point clouds Y Wang, Y Sun, Z Liu, SE Sarma, MM Bronstein, JM Solomon ACM Transactions on Graphics (TOG) 38 (5), 146, 2019	3982	2019
Functional maps: a flexible representation of maps between shapes M Ovsjanikov, M Ben-Chen, J Solomon, A Butscher, L Guibas ACM Transactions on Graphics (ToG) 31 (4), 1-11, 2012	706	2012
Convolutional Wasserstein distances: Efficient optimal transportation on geometric domains J Solomon, F De Goes, G Peyré, M Cuturi, A Butscher, A Nguyen, T Du, ... ACM Transactions on Graphics (TOG) 34 (4), 66, 2015	627	2015
Deep closest point: Learning representations for point cloud registration Y Wang, JM Solomon Proceedings of the IEEE/CVF international conference on computer vision …, 2019	602	2019
Gromov-Wasserstein averaging of kernel and distance matrices G Peyré, M Cuturi, J Solomon International Conference on Machine Learning, 2664-2672, 2016	268	2016
PRNet: Self-supervised learning for partial-to-partial registration Y Wang, JM Solomon Conference on Neural Information Processing Systems (NeurIPS), 2019	257	2019
Smoothed local histogram filters M Kass, J Solomon ACM SIGGRAPH 2010 papers, 1-10, 2010	217	2010
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries Y Wang, V Guizilini, T Zhang, Y Wang, H Zhao, J Solomon Conference on Robot Learning (CoRL), 2021	196	2021
Entropic metric alignment for correspondence problems J Solomon, G Peyré, VG Kim, S Sra ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016	161	2016
Pillar-based object detection for autonomous driving Y Wang, A Fathi, A Kundu, DA Ross, C Pantofaru, T Funkhouser, ... European Conference on Computer Vision, 2020	148	2020
Wasserstein propagation for semi-supervised learning J Solomon, R Rustamov, L Guibas, A Butscher International Conference on Machine Learning, 306-314, 2014	145	2014
Earth mover's distances on discrete surfaces J Solomon, R Rustamov, L Guibas, A Butscher ACM Transactions on Graphics (ToG) 33 (4), 1-12, 2014	137	2014
Flexible developable surfaces J Solomon, E Vouga, M Wardetzky, E Grinspun Computer Graphics Forum 31 (5), 1567-1576, 2012	130	2012
Recombination: A family of Markov chains for redistricting D DeFord, M Duchin, J Solomon Harvard Data Science Review 3 (1), 2021	100	2021
Parallel streaming Wasserstein barycenters M Staib, S Claici, JM Solomon, S Jegelka Advances in Neural Information Processing Systems, 2647-2658, 2017	88	2017
Numerical algorithms: methods for computer vision, machine learning, and graphics J Solomon CRC press, 2015	88	2015
Soft maps between surfaces J Solomon, A Nguyen, A Butscher, M Ben‐Chen, L Guibas Computer Graphics Forum 31 (5), 1617-1626, 2012	87	2012
Stochastic Wasserstein barycenters S Claici, E Chien, J Solomon International Conference on Machine Learning 35, 80:999-1008, 2018	86	2018
GWCNN: A metric alignment layer for deep shape analysis D Ezuz, J Solomon, VG Kim, M Ben-Chen Computer Graphics Forum 36 (5), 49-57, 2017	86	2017
Hierarchical optimal transport for document representation M Yurochkin, S Claici, E Chien, F Mirzazadeh, J Solomon Conference on Neural Information Processing Systems (NeurIPS), 2019	74	2019

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