Panos Achlioptas
Panos Achlioptas
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Title
Cited by
Cited by
Year
Learning representations and generative models for 3d point clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
arXiv preprint arXiv:1707.02392, 2017
217*2017
Two-locus association mapping in subquadratic time
P Achlioptas, B Schölkopf, K Borgwardt
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
222011
Composite shape modeling via latent space factorization
A Dubrovina, F Xia, P Achlioptas, M Shalah, R Groscot, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision, 8140-8149, 2019
62019
ShapeGlot: Learning language for shape differentiation
P Achlioptas, J Fan, R Hawkins, N Goodman, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision, 8938-8947, 2019
52019
Limit Shapes–A Tool for Understanding Shape Differences and Variability in 3D Model Collections
R Huang, P Achlioptas, L Guibas, M Ovsjanikov
Computer Graphics Forum 38 (5), 187-202, 2019
22019
OperatorNet: Recovering 3D Shapes From Difference Operators
R Huang, MJ Rakotosaona, P Achlioptas, LJ Guibas, M Ovsjanikov
Proceedings of the IEEE International Conference on Computer Vision, 8588-8597, 2019
22019
Latent space representation for shape analysis and learning
R Huang, P Achlioptas, L Guibas, M Ovsjanikov
arXiv preprint arXiv:1806.03967, 2018
22018
Towards a Principled Evaluation of Likeability for Machine-Generated Art
L Coleman, P Achlioptas, M Elhoseiny12
Composite Shape Modeling via Latent Space Factorization Supplementary Material
A Dubrovina, F Xia, P Achlioptas, M Shalah, R Groscot, L Guibas
Shapeglot: Learning Language for Shape Differentiation Supplemental Materials
P Achlioptas, J Fan, R Hawkins, N Goodman, L Guibas
Stochastic Gradient Descent in Theory and Practice
P Achlioptas
Finding Structure in CyTOF Data
P Achlioptas
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Articles 1–12