Deep Region and Multi-label Learning for Facial Action Unit Detection

By Kaili Zhao, Wen-Sheng Chu, Honggang Zhang. Computer Vision and Pattern Recognition, 2016

347 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/0021f46bda27ea105d722d19690f5564f2b8869e

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. Tal Hassner
2. Lior Wolf
3. Luc Van Gool
4. Dacheng Tao
5. Trevor Darrell
6. Yuval Nirkin
7. Xiaogang Wang
8. Andrew Zisserman

In Experimental and Cognitive Psychology

1. ByoungChul Ko
2. Tal Hassner

Citations in the corpus

• A Brief Review of Facial Emotion Recognition Based on Visual Information (2018, background): “• fixed-length and variable-length An input gate layer is used to decide which values will be updated in the cell. variable-length inputs or outputs [51].”
• The Emerging Trends of Multi-Label Learning (2020, background): “[182] presents deep region and multi-label learning (DRML) for AU detection.”
• HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation (2020, background): “Partial sharing of weights, in which convo-lutions are shared within image patches, was proposed for the analysis of facial actions [58].”
• OpenFace 2.0: Facial Behavior Analysis Toolkit (2018, neutral): “[82] (called ConvNet in their work).”