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Vision Sciences Society Annual Meeting Abstract September 2024

Are Search Templates Target-object Reconstructions?

Seoyoung Ahn; Hossein Adeli; Gregory Zelinsky

Journal of Vision. 2024; 24(10):701. https://doi.org/10.1167/jov.24.10.701

Vision Sciences Society Annual Meeting Abstract September 2024

Three theories of object-based attention implemented in deep neural network models

Hossein Adeli; Seoyoung Ahn; Gregory Zelinsky; Nikolaus Kriegeskorte

Journal of Vision. 2024; 24(10):227. https://doi.org/10.1167/jov.24.10.227

Vision Sciences Society Annual Meeting Abstract September 2024

Generating objects in peripheral vision using attention-guided diffusion models

Ritik Raina; Seoyoung Ahn; Gregory Zelinsky

Journal of Vision. 2024; 24(10):1306. https://doi.org/10.1167/jov.24.10.1306

Vision Sciences Society Annual Meeting Abstract September 2024

Object-based association fields for grouping and attention

Hossein Adeli; Seoyoung Ahn; Gregory Zelinsky; Nikolaus Kriegeskorte

Journal of Vision. 2024; 24(10):1267. https://doi.org/10.1167/jov.24.10.1267

Vision Sciences Society Annual Meeting Abstract September 2024

Mixed Selectivity for Target Selection Biases in the Superior Colliculus

Abe Leite; Hossein Adeli; Robert M. McPeek; Gregory J. Zelinsky

Journal of Vision. 2024; 24(10):1503. https://doi.org/10.1167/jov.24.10.1503

Vision Sciences Society Annual Meeting Abstract August 2023

Reconstruction-guided attention improves the object recognition robustness of neural networks

Seoyoung Ahn; Hossein Adeli; Gregory Zelinsky

Journal of Vision. 2023; 23(9):5129. https://doi.org/10.1167/jov.23.9.5129

Vision Sciences Society Annual Meeting Abstract August 2023

Modeling the dynamics of spreading attention in objects: Do transformers behave like humans?

Hossein Adeli; Seoyoung Ahn; Nikolaus Kriegeskorte; Gregory Zelinsky

Journal of Vision. 2023; 23(9):5978. https://doi.org/10.1167/jov.23.9.5978

Vision Sciences Society Annual Meeting Abstract August 2023

Object-based saccadic enhancement of superior colliculus activity

Christopher Conroy; Hossein Adeli; Abe Leite; Gregory J. Zelinsky; Robert M. McPeek

Journal of Vision. 2023; 23(9):5319. https://doi.org/10.1167/jov.23.9.5319

Vision Sciences Society Annual Meeting Abstract August 2023

Reward Maps Predict Target-present and Target-absent Visual Search

Gregory J. Zelinsky; Seoyoung Ahn; Zhibo Yang; Yupei Chen; Sounak Mondal; Minh Hoai; Dimitrios Samaras

Journal of Vision. 2023; 23(9):5161. https://doi.org/10.1167/jov.23.9.5161

Vision Sciences Society Annual Meeting Abstract August 2023

What do neurons in the superior colliculus encode during visual search?

Abe Leite; Hossein Adeli; Rakesh Nanjappa; Robert M. McPeek; Gregory J. Zelinsky

Journal of Vision. 2023; 23(9):5986. https://doi.org/10.1167/jov.23.9.5986

Vision Sciences Society Annual Meeting Abstract August 2023

Ancestral visuo-motor computations in the midbrain underly readers’ oculomotor behavior across spaced and unspaced languages

Françoise Vitu; Hossein Adeli; Gregory J. Zelinsky

Journal of Vision. 2023; 23(9):5644. https://doi.org/10.1167/jov.23.9.5644

Article May 2023

A brain-inspired object-based attention network for multiobject recognition and visual reasoning

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Hossein Adeli; Seoyoung Ahn; Gregory J. Zelinsky
TAGS: attention, brain, object-based attention, reasoning, recurrence, datasets, reading (activity), reconstructive surgical procedures
Journal of Vision. 2023; 23(5):16. https://doi.org/10.1167/jov.23.5.16

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract December 2022

Using Object Reconstruction as a Dynamic Attention Window to Improve Recognition Robustness

Seoyoung Ahn; Hossein Adeli; Gregory Zelinsky

Journal of Vision. 2022; 22(14):3692. https://doi.org/10.1167/jov.22.14.3692

Vision Sciences Society Annual Meeting Abstract December 2022

COCO-CursorSearch: A large-scale cursor movement dataset approximating eye movement in visual search

Yupei Chen; Gregory Zelinsky

Journal of Vision. 2022; 22(14):3748. https://doi.org/10.1167/jov.22.14.3748

Vision Sciences Society Annual Meeting Abstract December 2022

A brain-inspired object-based attention network for multi-object recognition and visual reasoning

Hossein Adeli; Seoyoung Ahn; Gregory Zelinsky

Journal of Vision. 2022; 22(14):4294. https://doi.org/10.1167/jov.22.14.4294

Vision Sciences Society Annual Meeting Abstract December 2022

Functionally Related Objects Capture Attention and Improve Search Guidance

Steven Ford; Gregory Zelinsky; Joseph Schmidt

Journal of Vision. 2022; 22(14):4259. https://doi.org/10.1167/jov.22.14.4259

Vision Sciences Society Annual Meeting Abstract December 2022

Modeling "meaning" and weighing it against other factors in predicting fixations: you can find whatever result you are looking for

Souradeep Chakraborty; Gregory J. Zelinsky

Journal of Vision. 2022; 22(14):3661. https://doi.org/10.1167/jov.22.14.3661

Article March 2022

Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty

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Souradeep Chakraborty; Dimitris Samaras; Gregory J. Zelinsky
TAGS: attention, object recognition, visual search, datasets
Journal of Vision. 2022; 22(4):13. https://doi.org/10.1167/jov.22.4.13

Includes: Supplemental Content

Article December 2021

Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks

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Seoyoung Ahn; Gregory J. Zelinsky; Gary Lupyan
TAGS: convolutional neural networks, functional magnetic resonance imaging, training, learning, datasets, judgment, triplets, semantics, object recognition
Journal of Vision. 2021; 21(13):13. https://doi.org/10.1167/jov.21.13.13

Includes: Supplemental Content

Vision Sciences Society Annual Meeting Abstract September 2021

Search guidance from the relative arrangement between objects

Steven Ford; Gregory Zelinsky; Joseph Schmidt

Journal of Vision. 2021; 21(9):2128. https://doi.org/10.1167/jov.21.9.2128

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Are Search Templates Target-object Reconstructions?

Three theories of object-based attention implemented in deep neural network models

Generating objects in peripheral vision using attention-guided diffusion models

Object-based association fields for grouping and attention

Mixed Selectivity for Target Selection Biases in the Superior Colliculus

Reconstruction-guided attention improves the object recognition robustness of neural networks

Modeling the dynamics of spreading attention in objects: Do transformers behave like humans?

Object-based saccadic enhancement of superior colliculus activity

Reward Maps Predict Target-present and Target-absent Visual Search

What do neurons in the superior colliculus encode during visual search?

Ancestral visuo-motor computations in the midbrain underly readers’ oculomotor behavior across spaced and unspaced languages

A brain-inspired object-based attention network for multiobject recognition and visual reasoning

Using Object Reconstruction as a Dynamic Attention Window to Improve Recognition Robustness

COCO-CursorSearch: A large-scale cursor movement dataset approximating eye movement in visual search

A brain-inspired object-based attention network for multi-object recognition and visual reasoning

Functionally Related Objects Capture Attention and Improve Search Guidance

Modeling "meaning" and weighing it against other factors in predicting fixations: you can find whatever result you are looking for

Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty

Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks

Search guidance from the relative arrangement between objects

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