References

• 2012Collecting Large, Richly Annotated Facial-Expression Databases from Movies664 cited
• 2014The Distress Analysis Interview Corpus of human and computer interviews591 cited
• 2013AVEC 2013584 cited
• 2016Video-based emotion recognition using CNN-RNN and C3D hybrid networks557 cited
• 2014SimSensei kiosk: a virtual human interviewer for healthcare decision support553 cited
• 2016AVEC 2016505 cited
• 2014AVEC 2014475 cited
• 2019AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition407 cited
• 2018Visually Interpretable Representation Learning for Depression Recognition from Facial Images273 cited
• 2017Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics260 cited
• 2013Depression recognition based on dynamic facial and vocal expression features using partial least square regression224 cited
• 2017Temporal multimodal fusion for video emotion classification in the wild179 cited
• 2020Automatic depression recognition using CNN with attention mechanism from videos179 cited
• 2020Multimodal Spatiotemporal Representation for Automatic Depression Level Detection172 cited
• 2018