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Literature DB >> 31762712

AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition.

Itir Onal Ertugrul¹, László A Jeni¹, Wanqiao Ding², Jeffrey F Cohn².

Abstract

Entities: Chemical Disease Gene Species

Year: 2019 PMID： 31762712 PMCID： PMC6874374 DOI： 10.1109/FG.2019.8756623

Source DB: PubMed Journal: Proc Int Conf Autom Face Gesture Recognit ISSN： 1541-5058

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5 in total

1. Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study.

Authors: Jeffrey F Cohn; Michael S Okun; Laszlo A Jeni; Itir Onal Ertugrul; David Borton; Donald Malone; Wayne K Goodman
Journal: Proc ACM Int Conf Multimodal Interact Date: 2018-10

2. EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection.

Authors: Wei Li; Farnaz Abtahi; Zhigang Zhu; Lijun Yin
Journal: IEEE Trans Pattern Anal Mach Intell Date: 2018-01-10 Impact factor: 6.226

3. FACSCaps: Pose-Independent Facial Action Coding with Capsules.

Authors: Itir Onal Ertugrul; Lászlό A Jeni; Jeffrey F Cohn
Journal: Conf Comput Vis Pattern Recognit Workshops Date: 2018-12-17

4. Dense 3D Face Alignment from 2D Video for Real-Time Use.

Authors: László A Jeni; Jeffrey F Cohn; Takeo Kanade
Journal: Image Vis Comput Date: 2016-05-24 Impact factor: 2.818

5. Cross-domain AU Detection: Domains, Learning Approaches, and Measures.

Authors: Itir Onal Ertugrul; Jeffrey F Cohn; László A Jeni; Zheng Zhang; Lijun Yin; Qiang Ji
Journal: Proc Int Conf Autom Face Gesture Recognit Date: 2019-07-11

5 in total

3 in total

AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition.

1. Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study.

2. EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection.

3. FACSCaps: Pose-Independent Facial Action Coding with Capsules.

4. Dense 3D Face Alignment from 2D Video for Real-Time Use.

5. Cross-domain AU Detection: Domains, Learning Approaches, and Measures.

1. Automated Detection of Enhanced DBS Device Settings.

2. Human-Guided Modality Informativeness for Affective States.

3. The spatio-temporal features of perceived-as-genuine and deliberate expressions.