20 citations · 41 across the 7 of their papers we have counts for
7 papers
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients
Tao Zhou, Huazhu Fu, Yu Zhang +4
Early and accurate prediction of overall survival (OS) time can help to obtain better treatment planning for brain tumor patients. Although many OS time prediction methods have bee…
Learning Video Object Segmentation from Unlabeled Videos
Xiankai Lu, Wenguan Wang, Jianbing Shen +3
We propose a new method for video object segmentation (VOS) that addresses object pattern learning from unlabeled videos, unlike most existing methods which rely heavily on extensi…
Human-Aware Motion Deblurring
Ziyi Shen, Wenguan Wang, Xiankai Lu +4
This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG). The proposed model is based on a triple-bra…
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
Xiankai Lu, Wenguan Wang, Chao Ma +3
We introduce a novel network, called CO-attention Siamese Network (COSNet), to address the unsupervised video object segmentation task from a holistic view. We emphasize the import…
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Wenguan Wang, Xiankai Lu, Jianbing Shen +2
This work proposes a novel attentive graph neural network (AGNN) for zero-shot video object segmentation (ZVOS). The suggested AGNN recasts this task as a process of iterative info…
High Order Structure Descriptors for Scene Images
Wenya Zhu, Xiankai Lu, Tao Xu +1
Structure information is ubiquitous in natural scene images and it plays an important role in scene representation. In this paper, third order structure statistics (TOSS) and fourt…
Efficient Image Categorization with Sparse Fisher Vector
Xiankai Lu, Zheng Fang, Tao Xu +2
In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased comp…