Fusing aligned and non-aligned face information for automatic affect recognition in the wild: a deep learning approach

BK Kim, SY Dong, J Roh, G Kim… - Proceedings of the IEEE …, 2016 - cv-foundation.org
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …
被引用次数：135 相关文章

Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach

BK Kim, SY Dong, J Roh, G Kim… - 2016 IEEE Conference on …, 2016 - computer.org
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …
[PDF] archive.org

[PDF][PDF] Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach

BK Kim, SY Dong, J Roh, G Kim, SY Lee - scholar.archive.org
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …

Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach

BK Kim, SY Dong, J Roh, G Kim… - 2016 IEEE Conference …, 2016 - ieeexplore.ieee.org
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …
[PDF] thecvf.com

[PDF][PDF] Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach

BK Kim, SY Dong, J Roh, G Kim, SY Lee - openaccess.thecvf.com
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …

Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach

BK Kim, SY Dong, J Roh… - 2016 IEEE Conference …, 2016 - koasas.kaist.ac.kr
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …
[PDF] thecvf.com

[PDF][PDF] Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach

BK Kim, SY Dong, J Roh, G Kim, SY Lee - openaccess.thecvf.com
Face alignment can fail in real-world conditions, negatively impacting the performance of
automatic facial expression recognition (FER) systems. In this study, we assume a realistic …