most citedKnowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

12 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20222 cited

Traceable and Authenticable Image Tagging for Fake News Detection

Ruohan Meng, Zhili Zhou, Qi Cui +2

To prevent fake news images from misleading the public, it is desirable not only to verify the authenticity of news images but also to trace the source of fake news, so as to provi…

cs.LG202210 cited

Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning

Tinghao Zhang, Zhijun Li, Yongrui Chen +2

Deep Neural Networks (DNNs) have been widely applied in Internet of Things (IoT) systems for various tasks such as image classification and object detection. However, heavyweight D…

cs.CV2022

Facial Landmark Predictions with Applications to Metaverse

Qiao Han, Jun Zhao, Kwok-Yan Lam

This research aims to make metaverse characters more realistic by adding lip animations learnt from videos in the wild. To achieve this, our approach is to extend Tacotron 2 text-t…

cs.CL202212 cited

Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

Chen Chen, Yufei Wang, Bing Li +1

Knowledge Graph Completion (KGC) has been recently extended to multiple knowledge graph (KG) structures, initiating new research directions, e.g. static KGC, temporal KGC and few-s…

cs.CV2022

One-Class Knowledge Distillation for Face Presentation Attack Detection

Zhi Li, Rizhao Cai, Haoliang Li +3

Face presentation attack detection (PAD) has been extensively studied by research communities to enhance the security of face recognition systems. Although existing methods have ac…

cs.CV2021

Asymmetric Modality Translation For Face Presentation Attack Detection

Zhi Li, Haoliang Li, Xin Luo +3

Face presentation attack detection (PAD) is an essential measure to protect face recognition systems from being spoofed by malicious users and has attracted great attention from bo…