activity
20182026
most citedLearning on Attribute-Missing Graphs

126 citations · 472 across the 48 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.CV2019

Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning

Xuan Liao, Wenhao Li, Qisen Xu +5

Existing automatic 3D image segmentation methods usually fail to meet the clinic use. Many studies have explored an interactive strategy to improve the image segmentation performan…

cs.CV2019★ 44 cited

Attribute Restoration Framework for Anomaly Detection

Chaoqin Huang, Fei Ye, Jinkun Cao +3

With the recent advances in deep neural networks, anomaly detection in multimedia has received much attention in the computer vision community. While reconstruction-based methods h…

cs.IR2019

Cascading: Association Augmented Sequential Recommendation

Xu Chen, Kenan Cui, Ya Zhang +1

Recently, recommendation according to sequential user behaviors has shown promising results in many application scenarios. Generally speaking, real-world sequential user behaviors…

cs.CV2019★ 13 cited

Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction

Maosen Li, Siheng Chen, Xu Chen +3

3D skeleton-based action recognition and motion prediction are two essential problems of human activity understanding. In many previous works: 1) they studied two tasks separately,…

cs.LG2019★ 35 cited

Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Zhuoxun He, Lingxi Xie, Xin Chen +3

Data augmentation has been widely applied as an effective methodology to improve generalization in particular when training deep neural networks. Recently, researchers proposed a f…

stat.ML2019

Node Attribute Generation on Graphs

Xu Chen, Siheng Chen, Huangjie Zheng +4

Graph structured data provide two-fold information: graph structures and node attributes. Numerous graph-based algorithms rely on both information to achieve success in supervised…

cs.LG2019★ 3 cited

Defending Adversarial Attacks by Correcting logits

Yifeng Li, Lingxi Xie, Ya Zhang +3

Generating and eliminating adversarial examples has been an intriguing topic in the field of deep learning. While previous research verified that adversarial attacks are often frag…

cs.CV2019★ 5 cited

Handwritten Chinese Font Generation with Collaborative Stroke Refinement

Chuan Wen, Jie Chang, Ya Zhang +4

Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters. This task has t…

cs.CV2019★ 2 cited

Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition

Maosen Li, Siheng Chen, Xu Chen +3

Action recognition with skeleton data has recently attracted much attention in computer vision. Previous studies are mostly based on fixed skeleton graphs, only capturing local phy…