84 citations · 235 across the 22 of their papers we have counts for
6 papers · 1 filter
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
Peng Zhang, Shujian Yu, Jiamiao Xu +4
It remains a huge challenge to design effective and efficient trackers under complex scenarios, including occlusions, illumination changes and pose variations. To cope with this pr…
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks
Shi Yin, Qinmu Peng, Hongming Li +5
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automa…
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
Chaojian Yu, Xinyi Zhao, Qi Zheng +2
Fine-grained visual recognition is challenging because it highly relies on the modeling of various semantic parts and fine-grained feature learning. Bilinear pooling based models h…
Multi-view Common Component Discriminant Analysis for Cross-view Classification
Xinge You, Jiamiao Xu, Wei Yuan +3
Cross-view classification that means to classify samples from heterogeneous views is a significant yet challenging problem in computer vision. A promising approach to handle this p…
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery
Qi Zheng, Shujian Yu, Xinge You +1
Low-Rank Matrix Recovery (LRMR) has recently been applied to saliency detection by decomposing image features into a low-rank component associated with background and a sparse comp…
Multi-view Hybrid Embedding: A Divide-and-Conquer Approach
Jiamiao Xu, Shujian Yu, Xinge You +3
We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multi-view subsp…