Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention-Reference-Cited by-同舟云学术

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Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Mondal Sounak¹,Yang Zhibo¹,Ahn Seoyoung¹,Samaras Dimitris¹,Zelinsky Gregory¹,Hoai Minh¹

Affiliation:

1. Stony Brook University

Funder

US National Science Foundation Awards

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204309.pdf?arnumber=10204309

Reference49 articles.

1. ScanMatch: A novel method for comparing fixation sequences

2. The Static and Dynamic Analyses of Drivers’ Gaze Movement Using VR Driving Simulator

3. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;International Conference on Learning Representations,0

4. It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach

5. Student Performance Prediction with Eye-Gaze Data in Embodied Educational Context

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-Motion As Supervision For Egocentric Audiovisual Localization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Visual ScanPath Transformer: Guiding Computers to See the World;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16

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