84 citations · 587 across the 66 of their papers we have counts for
7 papers · 1 filter
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses
Chen Ju, Peisen Zhao, Ya Zhang +2
Point-Level temporal action localization (PTAL) aims to localize actions in untrimmed videos with only one timestamp annotation for each action instance. Existing methods adopt the…
Privileged Knowledge Distillation for Online Action Detection
Peisen Zhao, Lingxi Xie, Ya Zhang +2
Online Action Detection (OAD) in videos is proposed as a per-frame labeling task to address the real-time prediction tasks that can only obtain the previous and current video frame…
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang, Fei Ye, Peisen Zhao +3
This paper explores semi-supervised anomaly detection, a more practical setting for anomaly detection where a small additional set of labeled samples are provided. We propose a new…
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Xiaoman Zhang, Shixiang Feng, Yuhang Zhou +2
Automatic and accurate tumor segmentation on medical images is in high demand to assist physicians with diagnosis and treatment. However, it is difficult to obtain massive amounts…
Decoupled Variational Embedding for Signed Directed Networks
Xu Chen, Jiangchao Yao, Maosen Li +2
Node representation learning for signed directed networks has received considerable attention in many real-world applications such as link sign prediction, node classification and…
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
Chenyang Li, Xu Chen, Ya Zhang +3
Knowledge graphs (KGs) composed of users, objects, and tags are widely used in web applications ranging from E-commerce, social media sites to news portals. This paper concentrates…