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Hossein Adeli
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2020 – today
- 2023
- [i5]Hossein Adeli, Seoyoung Ahn, Nikolaus Kriegeskorte, Gregory J. Zelinsky:
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans. CoRR abs/2306.00294 (2023) - 2022
- [i4]Seoyoung Ahn, Hossein Adeli, Gregory J. Zelinsky:
Reconstruction-guided attention improves the robustness and shape processing of neural networks. CoRR abs/2209.13620 (2022) - 2021
- [i3]Hossein Adeli, Seoyoung Ahn, Gregory J. Zelinsky:
Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition. CoRR abs/2110.04954 (2021) - 2020
- [i2]Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. CoRR abs/2001.11921 (2020)
2010 – 2019
- 2019
- [c3]Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras, Minh Hoai:
Benchmarking Gaze Prediction for Categorical Visual Search. CVPR Workshops 2019: 828-836 - 2018
- [c2]Hossein Adeli, Gregory J. Zelinsky:
Deep-BCN: Deep Networks Meet Biased Competition to Create a Brain-Inspired Model of Attention Control. CVPR Workshops 2018: 1932-1942 - [i1]Hossein Adeli, Gregory J. Zelinsky:
Learning to attend in a brain-inspired deep neural network. CoRR abs/1811.09699 (2018) - 2016
- [c1]Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras:
Learned Region Sparsity and Diversity Also Predicts Visual Attention. NIPS 2016: 1894-1902
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