Hossein Adeli

According to our database, Hossein Adeli authored at least 16 papers between 2016 and 2026.

Collaborative distances:

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

2026

Elastic Attention Cores for Scalable Vision Transformers.

Alan Z. Song, Yinjie Chen, Mu Nan, Rui Zhang, Jiahang Cao, Weijian Mai, Muquan Yu, Hossein Adeli, Deva Ramanan, Michael J. Tarr, Andrew F. Luo

CoRR, May, 2026

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding.

Mu Nan, Muquan Yu, Weijian Mai, Jacob S. Prince, Hossein Adeli, Rui Zhang, Jiahang Cao, Benjamin Becker, John A. Pyles, Margaret M. Henderson, Chunfeng Song, Nikolaus Kriegeskorte, Michael J. Tarr, Xiaoqing Hu, Andrew F. Luo

CoRR, April, 2026

Human-like Object Grouping in Self-supervised Vision Transformers.

Hossein Adeli, Seoyoung Ahn, Andrew F. Luo, Mengmi Zhang, Nikolaus Kriegeskorte, Gregory J. Zelinsky

CoRR, March, 2026

2025

Towards Interpretable Visual Decoding with Attention to Brain Representations.

Pinyuan Feng, Hossein Adeli, Wenxuan Guo, Fan Cheng, Ethan Hwang, Nikolaus Kriegeskorte

CoRR, September, 2025

Transformer brain encoders explain human high-level visual responses.

Hossein Adeli, Minni Sun, Nikolaus Kriegeskorte

CoRR, May, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain.

Ethan Hwang, Hossein Adeli, Wenxuan Guo, Andrew F. Luo, Nikolaus Kriegeskorte

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

The attentive reconstruction of objects facilitates robust object recognition.

Seoyoung Ahn, Hossein Adeli, Gregory J. Zelinsky

PLoS Comput. Biol., 2024

2023

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

2022

Reconstruction-guided attention improves the robustness and shape processing of neural networks.

Seoyoung Ahn, Hossein Adeli, Gregory J. Zelinsky

CoRR, 2022

2021

Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition.

Hossein Adeli, Seoyoung Ahn, Gregory J. Zelinsky

CoRR, 2021

2020

Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning.

Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitris Samaras, Minh Hoai

CoRR, 2020

2019

Benchmarking Gaze Prediction for Categorical Visual Search.

Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras, Minh Hoai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Learning to attend in a brain-inspired deep neural network.

Hossein Adeli, Gregory J. Zelinsky

CoRR, 2018

Deep-BCN: Deep Networks Meet Biased Competition to Create a Brain-Inspired Model of Attention Control.

Hossein Adeli, Gregory J. Zelinsky

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2016

Learned Region Sparsity and Diversity Also Predicts Visual Attention.

Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016