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Found 5 papers, 1 papers with code
Data-Centric AI Paradigm Based on Application-Driven Fine-Grained Dataset Design
Deep learning has a wide range of applications in industrial scenario, but reducing false alarm (FA) remains a major difficulty.
A Realistic Face-to-Face Conversation System based on Deep Neural Networks
Based on the models' output, the synthesizer uses the Pixel2Pixel model to generate realistic facial images.
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news.
Video synthesis of human upper body with realistic face
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 body motion, face expression, and pose of the person in source video.
Feature Aggregation Network for Video Face Recognition
We make the following contributions: first, we propose a meta attention-based aggregation scheme which adaptively and fine-grained weighs the feature along each feature dimension among all frames to form a compact and discriminative representation.
