Panos Achlioptas

optas@cs.stanford.edu
personal page

Research interests

  • Representation Learning for 3D Data
  • (emphasis on) Differentiating Mechanisms

Recent publications

P. Achlioptas, J. Fan, R. Hawkins, N. Goodman, and L. Guibas, ShapeGlot: Learning Language for Shape Differentiation, IEEE International Conference on Computer Vision (ICCV), 2019.   
R. Huang, MJ. Rakotosaona, P. Achlioptas, L. Guibas and M. Ovsjanikov, OperatorNet: Recovering 3D Shapes From Difference Operators, IEEE International Conference on Computer Vision (ICCV), 2019.   
A. Dubrovina, F. Xia, P. Achlioptas, M. Shalah, R. Groscot, and L. Guibas, Composite Shape Modeling via Latent Space Factorization, IEEE International Conference on Computer Vision (ICCV), 2019.   
R. Huang, P. Achlioptas, L. Guibas and M. Ovsjanikov, Limit Shapes: A Tool for Understanding Shape Differences and Variability in 3D Model Collections, Eurographics Symp. on Geometry Processing, (SGP), 2019.   
P. Achlioptas, O. Diamanti, I. Mitliagkas and L. Guibas, Learning Representations and Generative Models for 3D Point Clouds. 35th International Conference on Machine Learning, (ICML), 2018.   
P. Achlioptas, B. Schoelkopf, K. Borgwardt, Two-Locus Association Mapping in Subquadratic Time, ACM SIGKDD, 2011.