Panos Achlioptas

Recent Alum

Email: panos@cs.stanford.edu
Website: http://ai.stanford.edu/~optas

Research Statement

My research interests lie at the intersection of Computer Vision, Machine Learning, and Natural Language Processing. My area of focus is on designing deep learning models for visual data that emphasize semantic differences among objects, primarily as these are being expressed with natural language.

Recent Publications

Teaser Image
P. Achlioptas, M. Ovsjanikov, K. Haydarov, M. Elhoseiny and L. Guibas, ArtEmis: Affective Language for Visual Art, Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (Oral).
@article{achlioptas2021artemis,
 title={ArtEmis: Affective Language for Art},
 author={Achlioptas, Panos and Ovsjanikov, Maks and Haydarov,
         Kilichbek and Elhoseiny, Mohamed and Guibas, Leonidas},
 journal={CoRR},
 volume={abs/2101.07396},
 year={2021}
}
Teaser Image
P. Achlioptas, A. Abdelreheem, F. Xia, M. Elhoseiny and L. Guibas, ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes, European Conference Computer Vision (ECCV), 2020 (Oral).
@article{aaxeg-rnlfgoirws-20,
author={Achlioptas, Panos and Abdelreheem, Ahmed and Xia, Fei and Elhoseiny, Mohamed and Guibas, Leonidas},
title={ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes},
journal={16th European Conference on Computer Vision (ECCV)},
year={2020}
}
Teaser Image
M. Sung, J. Zhenyu, P. Achlioptas, N. Mitra and L. Guibas, DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces, SIGGRAPH Asia, 2020.
@article{sjamg-dtssds-20,
author = {Sung, Minhyuk and Jiang, Zhenyu and Achlioptas, Panos and Mitra, Niloy J. and Guibas, Leonidas J.},
title = {DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces},
Journal = {ACM Transactions on Graphics (Proc. of SIGGRAPH Asia)}, 
year = {2020}
}
Teaser Image
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.
@article{afhgg-llsd-19,
author = {Achlioptas,  Panos and Fan, Judy and Hawkins, Robert and Goodman, Noah and Guibas, Leonidas},
year = {2019},
title = {ShapeGlot: Learning Language for Shape Differentiation},
journal = {ICCV},
}
Teaser Image
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.
@article{hrago-onrsdo-19,
author = {Huang, Ruqi and Rakotosaona, Marie-Julie and Achlioptas,  Panos and Guibas, Leonidas and Ovsjanikov Maks},
year = {2019},
title = {OperatorNet: Recovering 3D Shapes From Difference Operators},
journal = {ICCV},
}
Teaser Image
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.
@article{dxasgg-csmlsf-19,
author = {Dubrovina, Anastasia and Xia, Fei and Achlioptas,  Panos and Shalah, Mira and Grvoscot, Raphael and Guibas, Leonidas},
year = {2019},
title = {Composite Shape Modeling via Latent Space Factorization},
journal = {International Conference Computer Vision},
}
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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.
@article{hago-lstusdv3dmc-19,
author = {Huang, Ruqi and Achlioptas,  Panos and Guibas, Leonidas and Ovsjanikov Maks},
year = {2019},
title = {Limit Shapes: A Tool for Understanding Shape Differences and Variability in 3D Model Collections},
journal = {Eurographics Symposium on Geometry Processing},
}
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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.
@article{dmg-lrgmpc-18,
author = {Achlioptas,  Panos and Diamanti, Olga and Mitliagkas, Ioannis and Guibas, Leonidas},
year = {2018},
title = {Learning Representations and Generative Models For 3D Point Clouds},
journal = {International Conference on Machine Learning},
}
Teaser Image
P. Achlioptas, B. Schoelkopf, K. Borgwardt, Two-Locus Association Mapping in Subquadratic Time, ACM SIGKDD, 2011.
@article{asb-tamst-11,
author = {Achlioptas,  Panos and Schoelkopf, Bernhard and Borgwardt, Karsten},
year = {2011},
title = {Two-Locus Association Mapping in Subquadratic Time},
journal = {SIGKDD},
}
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