5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
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…
cs.CV2024
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…
cs.CV2023★ 5 cited
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…