28 citations · 47 across the 5 of their papers we have counts for
5 papers
Intrinsic Relationship Reasoning for Small Object Detection
Kui Fu, Jia Li, Lin Ma +2
The small objects in images and videos are usually not independent individuals. Instead, they more or less present some semantic and spatial layout relationships with each other. M…
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Jia Li, Kui Fu, Shengwei Zhao +1
The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks (CNNs). However, devices…
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Kui Fu, Peipei Shi, Yafei Song +3
Large convolutional neural network models have recently demonstrated impressive performance on video attention prediction. Conventionally, these models are with intensive computati…
Visual Attention on the Sun: What Do Existing Models Actually Predict?
Jia Li, Daowei Li, Kui Fu +1
Visual attention prediction is a classic problem that seems to be well addressed in the deep learning era. One compelling concern, however, gradually arise along with the rapidly g…
Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction
Kui Fu, Jia Li, Yu Zhang +2
As an emerging vision platform, a drone can look from many abnormal viewpoints which brings many new challenges into the classic vision task of video saliency prediction. To invest…