218 citations · 680 across the 31 of their papers we have counts for
6 papers · 1 filter
Complementary Segmentation of Primary Video Objects with Reversible Flows
Jia Li, Junjie Wu, Anlin Zheng +3
Segmenting primary objects in a video is an important yet challenging problem in computer vision, as it exhibits various levels of foreground/background ambiguities. To reduce such…
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation
Shiming Ge, Shengwei Zhao, Chenyu Li +1
Typically, the deployment of face recognition models in the wild needs to identify low-resolution faces with extremely low computational cost. To address this problem, a feasible s…
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…
Learning a Saliency Evaluation Metric Using Crowdsourced Perceptual Judgments
Changqun Xia, Jia Li, Jinming Su +1
In the area of human fixation prediction, dozens of computational saliency models are proposed to reveal certain saliency characteristics under different assumptions and definition…
Hierarchical Deep Co-segmentation of Primary Objects in Aerial Videos
Jia Li, Pengcheng Yuan, Daxin Gu +1
Primary object segmentation plays an important role in understanding videos generated by unmanned aerial vehicles. In this paper, we propose a large-scale dataset with 500 aerial v…
Image Co-segmentation via Multi-scale Local Shape Transfer
Wei Teng, Yu Zhang, Xiaowu Chen +2
Image co-segmentation is a challenging task in computer vision that aims to segment all pixels of the objects from a predefined semantic category. In real-world cases, however, com…