Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

D-vlog: Multimodal Vlog Dataset for Depression Detection

16 references·6 citing·54 second hop

FromToDepth

this work references cited by second hop

References

2012Diagnostic and Statistical Manual of Mental Disorders20,570 cited
2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing1,815 cited
2004Global burden of depressive disorders in the year 20001,733 cited
2015A Review and Meta-Analysis of Multimodal Affect Detection Systems631 cited
2014The Distress Analysis Interview Corpus of human and computer interviews591 cited
2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
2011Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space450 cited
2013Deep learning for robust feature generation in audiovisual emotion recognition401 cited
2006Bi-modal emotion recognition from expressive face and body gestures383 cited
2006Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology380 cited
2018Deep Learning for Depression Detection of Twitter Users345 cited
2016Emotion Recognition Using Multimodal Deep Learning301 cited
2012LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework288 cited
2008Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech268 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2020M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues261 cited

2013A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network227 cited

Cited by

2024DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection110 cited
2022TAMFN: Time-Aware Attention Multimodal Fusion Network for Depression Detection78 cited
2023Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition55 cited
2023A novel study for depression detecting using audio signals based on graph neural network54 cited
2023A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations51 cited
2023Towards Gender Fairness for Mental Health Prediction16 cited