Mahyar Khayatkhoei
Mahyar Khayatkhoei
PhD candidate, Rutgers University
Email verificata su cs.rutgers.edu
Titolo
Citata da
Citata da
Anno
Disconnected manifold learning for generative adversarial networks
M Khayatkhoei, A Elgammal, M Singh
Advances in Neural Information Processing Systems 31, 7354--7364, 2018
482018
CODE: Crowd‐optimized design of environments
B Haworth, M Usman, G Berseth, M Khayatkhoei, M Kapadia, P Faloutsos
Computer Animation and Virtual Worlds 28 (6), e1749, 2017
232017
Using synthetic crowds to inform building pillar placements
B Haworth, M Usman, G Berseth, M Khayatkhoei, M Kapadia, P Faloutsos
2016 IEEE Virtual Humans and Crowds for Immersive Environments (VHCIE), 7-11, 2016
122016
Towards computer assisted crowd aware architectural design
B Haworth, M Usman, G Berseth, M Khayatkhoei, M Kapadia, P Faloutsos
Proceedings of the 2016 chi conference extended abstracts on human factors …, 2016
102016
Interactive architectural design with diverse solution exploration
G Berseth, B Haworth, M Usman, D Schaumann, M Khayatkhoei, ...
IEEE transactions on visualization and computer graphics 27 (1), 111-124, 2019
72019
Spatial frequency bias in convolutional generative adversarial networks
M Khayatkhoei, A Elgammal
arXiv preprint arXiv:2010.01473, 2020
42020
Interactive Diversity Optimization of Environments
G Berseth, M Khayatkhoei, B Haworth, M Usman, M Kapadia, P Faloutsos
arXiv preprint arXiv:1801.08607, 2018
2018
A low-cost vision-based system for displacement analysis in earthquake research
B Binaee, M Khayatkhoei, H Moradi, A Nazemi, A Hosseini
2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM …, 2015
2015
Joint Image-Text Clustering using Deep Neural Networks
M Khayatkhoei, A Chukka, C Mitash
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–9