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Mahyar Khayatkhoei
Mahyar Khayatkhoei
Verified email at cs.rutgers.edu - Homepage
Title
Cited by
Cited by
Year
Disconnected manifold learning for generative adversarial networks
M Khayatkhoei, A Elgammal, M Singh
Advances in Neural Information Processing Systems 31, 7354--7364, 2018
942018
Spatial frequency bias in convolutional generative adversarial networks
M Khayatkhoei, A Elgammal
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7152-7159, 2022
372022
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
322017
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
232019
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
172016
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
142016
Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks
J Li, M Khayatkhoei, J Zhu, H Xie, ME Hussein, W AbdAlmageed
arXiv preprint arXiv:2310.04955, 2023
22023
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
22015
Unsupervised multimodal deepfake detection using intra-and cross-modal inconsistencies
M Tian, M Khayatkhoei, J Mathai, W AbdAlmageed
arXiv preprint arXiv:2311.17088, 2023
12023
Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models
J Zhang, M Khayatkhoei, P Chhikara, F Ilievski
arXiv preprint arXiv:2310.16033, 2023
12023
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models
J Zhang, M Khayatkhoei, P Chhikara, F Ilievski
arXiv preprint arXiv:2306.00228, 2023
12023
ManiFPT: Defining and Analyzing Fingerprints of Generative Models
HJ Song, M Khayatkhoei, W AbdAlmageed
arXiv preprint arXiv:2402.10401, 2024
2024
Exploring Perceptual Limitation of Multimodal Large Language Models
J Zhang, J Hu, M Khayatkhoei, F Ilievski, M Sun
arXiv preprint arXiv:2402.07384, 2024
2024
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
J Li, M Khayatkhoei, J Zhu, H Xie, ME Hussein, W AbdAlmageed
arXiv preprint arXiv:2311.07141, 2023
2023
Shadow Datasets, New challenging datasets for Causal Representation Learning
J Zhu, H Xie, J Wu, J Li, M Khayatkhoei, ME Hussein, W AbdAlmageed
arXiv preprint arXiv:2308.05707, 2023
2023
A critical view of vision-based long-term dynamics prediction under environment misalignment
H Xie, J Zhu, M Khayatkhoei, J Li, ME Hussein, W AbdAlmageed
International Conference on Machine Learning, 38258-38271, 2023
2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
M Khayatkhoei, W AbdAlmageed
International Conference on Machine Learning, 16326-16343, 2023
2023
Geometric and spectral limitations in generative adversarial networks
M Khayatkhoei
Rutgers University-School of Graduate Studies, 2021
2021
Interactive Diversity Optimization of Environments
G Berseth, M Khayatkhoei, B Haworth, M Usman, M Kapadia, P Faloutsos
arXiv preprint arXiv:1801.08607, 2018
2018
Joint Image-Text Clustering using Deep Neural Networks
M Khayatkhoei, A Chukka, C Mitash
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Articles 1–20