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Chapter and Conference Paper
Bidirectional Pyramid Networks for Semantic Segmentation
Semantic segmentation is a fundamental problem in computer vision that has attracted a lot of attention. Recent efforts have been devoted to network architecture innovations for efficient semantic segmentation...
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Chapter and Conference Paper
Gated Transfer Network for Transfer Learning
Deep neural networks have led to a series of breakthroughs in computer vision given sufficient annotated training datasets. For novel tasks with limited labeled data, the prevalent approach is to transfer the ...
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Chapter and Conference Paper
The Situation Model in Text Reading: Evidence from an Eye Movement Study
Understanding and processing of information in text reading have been the core content of the reading psychological research, and it is a hot topic of great concern in cognitive science community. In this stud...