8 citations · 8 across the 4 of their papers we have counts for
4 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…
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
Xianyu Chen, Ming Jiang, Qi Zhao
Few-shot object detection aims at detecting objects with few annotated examples, which remains a challenging research problem yet to be explored. Recent studies have shown the effe…
Context-Transformer: Tackling Object Confusion for Few-Shot Detection
Ze Yang, Yali Wang, Xianyu Chen +2
Few-shot object detection is a challenging but realistic scenario, where only a few annotated training images are available for training detectors. A popular approach to handle thi…