35 citations · 54 across the 9 of their papers we have counts for
9 papers
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Image saliency detection is crucial in understanding human gaze patterns from visual stimuli. The escalating demand for research in image saliency detection is driven by the growin…
Knowledge Graph Embedding: An Overview
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Many mathematical models have been leveraged to design embeddings for representing Knowledge Graph (KG) entities and relations for link prediction and many downstream tasks. These…
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations
Yun-Cheng Wang, Xiou Ge, Bin Wang +1
Knowledge graph entity typing (KGET) is a task to predict the missing entity types in knowledge graphs (KG). Previously, KG embedding (KGE) methods tried to solve the KGET task by…
Knowledge Graph Embedding with 3D Compound Geometric Transformations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, Compound…
Lightweight High-Performance Blind Image Quality Assessment
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +2
Blind image quality assessment (BIQA) is a task that predicts the perceptual quality of an image without its reference. Research on BIQA attracts growing attention due to the incre…
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations
Xiou Ge, Yun-Cheng Wang, Bin Wang +1
Translation, rotation, and scaling are three commonly used geometric manipulation operations in image processing. Besides, some of them are successfully used in developing effectiv…