5 papers
Data-Centric AI Paradigm Based on Application-Driven Fine-Grained Dataset Design
Huan Hu, Yajie Cui, Zhaoxiang Liu +1
Deep learning has a wide range of applications in industrial scenario, but reducing false alarm (FA) remains a major difficulty. Optimizing network architecture or network paramete…
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
Zipeng Wang, Zhaoxiang Liu, Zezhou Chen +2
This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news. This task is also known as Virtual Anchor. Given some paragraphs o…
Video synthesis of human upper body with realistic face
Zhaoxiang Liu, Huan Hu, Zipeng Wang +3
This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the b…
A Realistic Face-to-Face Conversation System based on Deep Neural Networks
Zezhou Chen, Zhaoxiang Liu, Huan Hu +4
To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-to-sequence models respectively…
Feature Aggregation Network for Video Face Recognition
Zhaoxiang Liu, Huan Hu, Jinqiang Bai +2
This paper aims to learn a compact representation of a video for video face recognition task. We make the following contributions: first, we propose a meta attention-based aggregat…