Disconnected manifold learning for generative adversarial networks M Khayatkhoei, A Elgammal, M Singh Advances in Neural Information Processing Systems 31, 7354--7364, 2018 | 98 | 2018 |
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 | 40 | 2022 |
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 | 31 | 2017 |
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 | 28 | 2019 |
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 | 16 | 2016 |
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 | 13 | 2016 |
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 | 3 | 2023 |
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 | 2 | 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 | 2 | 2023 |
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 | 2 | 2015 |
Exploring Perceptual Limitation of Multimodal Large Language Models J Zhang, J Hu, M Khayatkhoei, F Ilievski, M Sun arXiv preprint arXiv:2402.07384, 2024 | 1 | 2024 |
Unsupervised multimodal deepfake detection using intra-and cross-modal inconsistencies M Tian, M Khayatkhoei, J Mathai, W AbdAlmageed arXiv preprint arXiv:2311.17088, 2023 | 1 | 2023 |
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 | 1 | 2023 |
ManiFPT: Defining and Analyzing Fingerprints of Generative Models HJ Song, M Khayatkhoei, W AbdAlmageed arXiv preprint arXiv:2402.10401, 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 |
Geometric and Spectral Limitations in Generative Adversarial Networks M Khayatkhoei Rutgers The State University of New Jersey, 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 | | |