Modeling Stylized Character Expressions via Deep Learning

By Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones. 2016

148 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Haohan Wang
2. Eric P. Xing
3. Zachary Chase Lipton
4. Shervin Minaee
5. AmirAli Abdolrashidi
6. Zexue He
7. Mohit Bansal
8. Luc Van Gool

Citations in the corpus

• Learning Robust Representations by Projecting Superficial Statistics Out (2018, methodology): “We generated a synthetic data set extending the Facial Expression Research Group Database (Aneja et al., 2016), which is a dataset of six animated individuals expressing seven different sentiments.”
• Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network (2019, methodology): “In this work, we provide the experimental analysis of the proposed model on several popular facial expression recognition datasets, including FER2013 [37], the extended Cohn-Kanade [22], Japanese Female Facial Expression (JAFFE) [38], and Facial Expression Research Group Database (FERG) [2].”