405 citations · 2.3k across the 116 of their papers we have counts for
17 papers · 1 filter
CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Entity type prediction is an important problem in knowledge graph (KG) research. A new KG entity type prediction method, named CORE (COmplex space Regression and Embedding), is pro…
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Yun-Cheng Wang, Xiou Ge, Bin Wang +1
Knowledge base completion is formulated as a binary classification problem in this work, where an XGBoost binary classifier is trained for each relation using relevant links in kno…
A Survey on Perceptually Optimized Video Coding
Yun Zhang, Linwei Zhu, Gangyi Jiang +2
To provide users with more realistic visual experiences, videos are developing in the trends of Ultra High Definition (UHD), High Frame Rate (HFR), High Dynamic Range (HDR), Wide C…
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
Yao Zhu, Xinyu Wang, Hong-Shuo Chen +2
A novel method for detecting CNN-generated images, called Attentive PixelHop (or A-PixelHop), is proposed in this work. It has three advantages: 1) low computational complexity and…
Unsupervised Lightweight Single Object Tracking with UHP-SOT++
Zhiruo Zhou, Hongyu Fu, Suya You +1
An unsupervised, lightweight and high-performance single object tracker, called UHP-SOT, was proposed by Zhou et al. recently. As an extension, we present an enhanced version and n…
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation
Kaitai Zhang, Bin Wang, C. -C. Jay Kuo
A neural network targeting at unsupervised image anomaly localization, called the PEDENet, is proposed in this work. PEDENet contains a patch embedding (PE) network, a density esti…