8 citations · 21 across the 9 of their papers we have counts for
9 papers
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths
Xianyu Chen, Ming Jiang, Qi Zhao
While exploring visual scenes, humans' scanpaths are driven by their underlying attention processes. Understanding visual scanpaths is essential for various applications. Tradition…
Beyond Average: Individualized Visual Scanpath Prediction
Xianyu Chen, Ming Jiang, Qi Zhao
Understanding how attention varies across individuals has significant scientific and societal impacts. However, existing visual scanpath models treat attention uniformly, neglectin…
What Do Deep Saliency Models Learn about Visual Attention?
Shi Chen, Ming Jiang, Qi Zhao
In recent years, deep saliency models have made significant progress in predicting human visual attention. However, the mechanisms behind their success remain largely unexplained d…
Attention in Reasoning: Dataset, Analysis, and Modeling
Shi Chen, Ming Jiang, Jinhui Yang +1
While attention has been an increasingly popular component in deep neural networks to both interpret and boost the performance of models, little work has examined how attention pro…
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang +11
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we…
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Anh Tuan Nguyen, Markus W. Drealan, Diu Khue Luu +6
Objective: Deep learning-based neural decoders have emerged as the prominent approach to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have mater…