Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy

no code implementations • Findings (ACL) 2022 • Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing

The recently proposed Limit-based Scoring Loss independently limits the range of positive and negative triplet scores.

Knowledge Graph Embedding Knowledge Graphs +1

Learning Hierarchy-Aware Quaternion Knowledge Graph Embeddings with Representing Relations as 3D Rotations

1 code implementation • COLING 2022 • Jinfa Yang, Xianghua Ying, Yongjie Shi, Xin Tong, Ruibin Wang, Taiyan Chen, Bowei Xing

It is crucial for knowledge graph embedding models to model and infer various relation patterns, such as symmetry/antisymmetry.

Knowledge Graph Completion Knowledge Graph Embedding +2

Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation

no code implementations • Findings (EMNLP) 2021 • Jinfa Yang, Yongjie Shi, Xin Tong, Robin Wang, Taiyan Chen, Xianghua Ying

By using previous knowledge graph embedding methods, every entity in a knowledge graph is usually represented as a k-dimensional vector.

Knowledge Graph Embedding Relation

Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World

no code implementations • CVPR 2022 • Xin Tong, Xianghua Ying, Yongjie Shi, Ruibin Wang, Jinfa Yang

To achieve this goal, we propose a novel Transformer based Line segment Classifier (TLC) that can group line segments in images and estimate the corresponding vanishing points.

Deep Shape from Polarization

no code implementations • ECCV 2020 • Yunhao Ba, Alex Ross Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi

This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the realm of deep learning.