Mahyar Khayatkhoei

According to our database, Mahyar Khayatkhoei authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Look, Learn and Leverage (L³): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment.

Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed

CoRR, 2024

An Investigation on The Position Encoding in Vision-Based Dynamics Prediction.

Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed

CoRR, 2024

Exploring Perceptual Limitation of Multimodal Large Language Models.

Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei, Filip Ilievski, Maosong Sun

CoRR, 2024

ManiFPT: Defining and Analyzing Fingerprints of Generative Models.

Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies.

Mulin Tian, Mahyar Khayatkhoei, Joe Mathai, Wael AbdAlmageed

CoRR, 2023

SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering.

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, 2023

Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models.

Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski

CoRR, 2023

Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks.

Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, 2023

Shadow Datasets, New challenging datasets for Causal Representation Learning.

Jiageng Zhu, Hanchen Xie, Jianhua Wu, Jiazhi Li, Mahyar Khayatkhoei, Mohamed E. Hussein, Wael AbdAlmageed

CoRR, 2023

Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models.

Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski

CoRR, 2023

A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment.

Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael AbdAlmageed

Proceedings of the International Conference on Machine Learning, 2023

Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions.

Mahyar Khayatkhoei, Wael Abd-Almageed

Proceedings of the International Conference on Machine Learning, 2023

2022

Spatial Frequency Bias in Convolutional Generative Adversarial Networks.

Mahyar Khayatkhoei, Ahmed Elgammal

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interactive Architectural Design with Diverse Solution Exploration.

Glen Berseth, M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos

IEEE Trans. Vis. Comput. Graph., 2021

2018

Interactive Diversity Optimization of Environments.

Glen Berseth, Mahyar Khayatkhoei, M. Brandon Haworth, Muhammad Usman, Mubbasir Kapadia, Petros Faloutsos

CoRR, 2018

Disconnected Manifold Learning for Generative Adversarial Networks.

Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

CODE: Crowd-optimized design of environments.

M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos

Comput. Animat. Virtual Worlds, 2017

2016

Towards Computer Assisted Crowd Aware Architectural Design.

M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016