Memory-Augmented Contrastive Learning for Talking Head Generation-Reference-Cited by-同舟云学术

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Memory-Augmented Contrastive Learning for Talking Head Generation

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Jianrong¹,Zhao Yaxin²,Fan Hongkai¹,Xu Tianyi¹,Li Qi³,Li Sen¹,Liu Li⁴

Affiliation:

1. Tianjin University,College of Intelligence and Computing,Tianjin,China

2. Tianjin University,Tianjin International Engineering Institute,Tianjin,China

3. Tianjin University,School of Electrical and Information Engineering,Tianjin,China

4. The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096593.pdf?arnumber=10096593

Reference20 articles.

1. Mixture Dense Regression for Object Detection and Human Pose Estimation

2. Uscl: pretraining deep ultrasound image diagnosis model through video contrastive representation learning;chen;Medical Image Computing and Computer Assisted Intervention (MICCAI),2021

3. VoxCeleb2: Deep Speaker Recognition

4. Memory-augmented dense predictive coding for video representation learning;han;Proceedings of the European Conference on Computer Vision (ECCV),2020

5. A no-reference perceptual image sharpness metric based on a cumulative probability of blur detection

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