Work

Unmasking the Devil in the Details: What Works for Deep Facial Action Coding?

Year: 2019

Type: conference-paper

Abstract: score for occurrence detection and a 5.8% increase in ICC for intensity estimation.

Source: PubMed

Authors: Koichiro Niinuma, Laszlo A Jeni, Itir Onal Ertugrul, Jeffrey F Cohn

Institutions: Carnegie Mellon University, University of Pittsburgh

Language: English

Topic: Emotion and Mood Recognition

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institute of Mental Health, National Institute of Neurological Disorders and Stroke

Awards: Adaptive DBS in Non-Motor Neuropsychiatric Disorders: Regulating Limbic Circuit Imbalance, Automatic Multimodal Affect Detection for Research and Clinical Use

OpenAlex ID: W3018972277

FWCI: 0.976

Cites: 23

Cited by: 14

Related to: 10