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Panos Achlioptas
Panos Achlioptas
Stanford
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning representations and generative models for 3d point clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
arXiv preprint arXiv:1707.02392, 2017
16712017
Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
P Achlioptas, A Abdelreheem, F Xia, M Elhoseiny, L Guibas
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2942020
Artemis: Affective language for visual art
P Achlioptas, M Ovsjanikov, K Haydarov, M Elhoseiny, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1842021
Representation learning and adversarial generation of 3d point clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
arXiv preprint arXiv:1707.02392 2 (3), 4, 2017
982017
ShapeGlot: Learning language for shape differentiation
P Achlioptas, J Fan, R Hawkins, N Goodman, LJ Guibas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
972019
Neroic: Neural rendering of objects from online image collections
Z Kuang, K Olszewski, M Chai, Z Huang, P Achlioptas, S Tulyakov
ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022
762022
Composite shape modeling via latent space factorization
A Dubrovina, F Xia, P Achlioptas, M Shalah, R Groscot, LJ Guibas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
662019
Quantized gan for complex music generation from dance videos
Y Zhu, K Olszewski, Y Wu, P Achlioptas, M Chai, Y Yan, S Tulyakov
European Conference on Computer Vision, 182-199, 2022
512022
Long-tail visual relationship recognition with a visiolinguistic hubless loss
S Abdelkarim, P Achlioptas, J Huang, B Li, K Church, M Elhoseiny
arXiv preprint arXiv:2004.00436, 2020
40*2020
Partglot: Learning shape part segmentation from language reference games
J Koo, I Huang, P Achlioptas, LJ Guibas, M Sung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
332022
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
332019
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations
P Achlioptas, I Huang, M Sung, S Tulyakov, L Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
31*2023
DeformSyncNet: Deformation transfer via synchronized shape deformation spaces
M Sung, Z Jiang, P Achlioptas, NJ Mitra, LJ Guibas
arXiv preprint arXiv:2009.01456, 2020
282020
Scanents3d: Exploiting phrase-to-3d-object correspondences for improved visio-linguistic models in 3d scenes
A Abdelreheem, K Olszewski, HY Lee, P Wonka, P Achlioptas
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
262024
Two-locus association mapping in subquadratic time
P Achlioptas, B Schölkopf, K Borgwardt
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
212011
Operatornet: Recovering 3d shapes from difference operators
R Huang, MJ Rakotosaona, P Achlioptas, LJ Guibas, M Ovsjanikov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
182019
Affection: Learning affective explanations for real-world visual data
P Achlioptas, M Ovsjanikov, L Guibas, S Tulyakov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
152023
LADIS: Language disentanglement for 3D shape editing
I Huang, P Achlioptas, T Zhang, S Tulyakov, M Sung, L Guibas
arXiv preprint arXiv:2212.05011, 2022
112022
Plotting behind the scenes: Towards learnable game engines
W Menapace, A Siarohin, S Lathuilière, P Achlioptas, V Golyanik, E Ricci, ...
Computing Research Repository (CoRR), 2023
10*2023
Stochastic gradient descent in theory and practice
P Achlioptas
Stanford University, Stanford, CA, 2019
62019
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