Mahyar Khayatkhoei

31 papers A* 6A 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring Perceptual Limitations of Multimodal LLMs on Small Visual Objects. Trans. Mach. Learn. Res. Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei, Filip Ilievski, Maosong Sun
2025	J	`jnl`	A Critical Review of Predominant Bias in Neural Networks. CoRR Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2025	J	`jnl`	Enhancing Diversity in Text-to-Image Generation without Compromising Fidelity. Trans. Mach. Learn. Res. Jiazhi Li, Mi Zhou, Mahyar Khayatkhoei, Jingyu Shi, Xiang Gao, Jiageng Zhu, Hanchen Xie, Xiyun Song, Zongfang Lin, Heather Yu, Jieyu Zhao
2025	J	`jnl`	Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks. Trans. Mach. Learn. Res. Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2025	A*	`conf`	MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs. ICLR Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski
2025	J	`jnl`	MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs. CoRR Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski
2024	—	`conf`	An Investigation on The Position Encoding in Vision-Based Dynamics Prediction. ECCV Workshops (21) Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed
2024	J	`jnl`	An Investigation on The Position Encoding in Vision-Based Dynamics Prediction. CoRR Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed
2024	J	`jnl`	Exploring Perceptual Limitation of Multimodal Large Language Models. CoRR Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei, Filip Ilievski, Maosong Sun
2024	J	`jnl`	Look, Learn and Leverage (L CoRR Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed
2024	A*	`conf`	ManiFPT: Defining and Analyzing Fingerprints of Generative Models. CVPR Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed
2024	J	`jnl`	ManiFPT: Defining and Analyzing Fingerprints of Generative Models. CoRR Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed
2024	A	`conf`	Multi-Scope Representation Learning for Causal Relation Discovery with new Challenging Datasets. BMVC Jiageng Zhu, Hanchen Xie, Jianhua Wu, Mohamed E. Hussein, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed
2023	J	`jnl`	A Critical View Of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment. CoRR Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael AbdAlmageed
2023	A*	`conf`	A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment. ICML Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael AbdAlmageed
2023	A*	`conf`	Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions. ICML Mahyar Khayatkhoei, Wael Abd-Almageed
2023	J	`jnl`	Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions. CoRR Mahyar Khayatkhoei, Wael AbdAlmageed
2023	J	`jnl`	Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks. CoRR Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2023	J	`jnl`	SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering. CoRR Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed
2023	J	`jnl`	Shadow Datasets, New challenging datasets for Causal Representation Learning. CoRR Jiageng Zhu, Hanchen Xie, Jianhua Wu, Jiazhi Li, Mahyar Khayatkhoei, Mohamed E. Hussein, Wael AbdAlmageed
2023	J	`jnl`	Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies. CoRR Mulin Tian, Mahyar Khayatkhoei, Joe Mathai, Wael AbdAlmageed
2023	J	`jnl`	Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models. CoRR Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski
2023	J	`jnl`	Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models. CoRR Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski
2022	A*	`conf`	Spatial Frequency Bias in Convolutional Generative Adversarial Networks. AAAI Mahyar Khayatkhoei, Ahmed Elgammal
2021	J	`jnl`	Interactive Architectural Design with Diverse Solution Exploration. IEEE Trans. Vis. Comput. Graph. Glen Berseth, M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos
2020	J	`jnl`	Spatial Frequency Bias in Convolutional Generative Adversarial Networks. CoRR Mahyar Khayatkhoei, Ahmed Elgammal
2018	A*	`conf`	Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
2018	J	`jnl`	Disconnected Manifold Learning for Generative Adversarial Networks. CoRR Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
2018	J	`jnl`	Interactive Diversity Optimization of Environments. CoRR Glen Berseth, Mahyar Khayatkhoei, M. Brandon Haworth, Muhammad Usman, Mubbasir Kapadia, Petros Faloutsos
2017	J	`jnl`	CODE: Crowd-optimized design of environments. Comput. Animat. Virtual Worlds M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos
2016	—	`conf`	Towards Computer Assisted Crowd Aware Architectural Design. CHI Extended Abstracts M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos