Learned Region Sparsity and Diversity Also Predicts Visual Attention. - Zijun Wei; Hossein Adeli; Minh Hoai; Gregory J. Zelinsky; Dimitris Samaras (NIPS, 2016)

Deep-BCN: Deep Networks Meet Biased Competition to Create a Brain-Inspired Model of Attention Control. - Hossein Adeli; Gregory J. Zelinsky (CVPR Workshops, 2018)

Learning to attend in a brain-inspired deep neural network. - Hossein Adeli; Gregory J. Zelinsky (CoRR, 2018)

Benchmarking Gaze Prediction for Categorical Visual Search. - Gregory J. Zelinsky; Zhibo Yang 002; Lihan Huang; Yupei Chen; Seoyoung Ahn; Zijun Wei; Hossein Adeli; Dimitris Samaras; Minh Hoai (CVPR Workshops, 2019)

Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. - Gregory J. Zelinsky; Yupei Chen; Seoyoung Ahn; Hossein Adeli; Zhibo Yang 002; Lihan Huang; Dimitris Samaras; Minh Hoai (CoRR, 2020)

Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition. - Hossein Adeli; Seoyoung Ahn; Gregory J. Zelinsky (CoRR, 2021)

Reconstruction-guided attention improves the robustness and shape processing of neural networks. - Seoyoung Ahn; Hossein Adeli; Gregory J. Zelinsky (CoRR, 2022)

Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans. - Hossein Adeli; Seoyoung Ahn; Nikolaus Kriegeskorte; Gregory J. Zelinsky (CoRR, 2023)

The attentive reconstruction of objects facilitates robust object recognition. - Seoyoung Ahn; Hossein Adeli; Gregory J. Zelinsky (PLoS Comput. Biol., 2024)

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. - Muquan Yu; Mu Nan; Hossein Adeli; Jacob S. Prince; John A. Pyles; Leila Wehbe; Margaret M. Henderson; Michael J. Tarr; Andrew F. Luo (CoRR, 2025)

Transformer brain encoders explain human high-level visual responses. - Hossein Adeli; Minni Sun; Nikolaus Kriegeskorte (CoRR, 2025)