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Deep Learning for Depression Recognition with Audiovisual Cues: A Review

Deep Learning for Depression Recognition with Audiovisual Cues: A Review

27 May 2021
Lang He
Mingyue Niu
Prayag Tiwari
Pekka Marttinen
Rui Su
Jiewei Jiang
Chenguang Guo
Hongyu Wang
Songtao Ding
Zhongmin Wang
Wei Dang
Xiaoying Pan
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Papers citing "Deep Learning for Depression Recognition with Audiovisual Cues: A Review"

4 / 4 papers shown
Title
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in
  the Wild
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
Lang He
Kai Chen
Junnan Zhao
Yimeng Wang
Ercheng Pei
...
Shiqing Zhang
Jie Zhang
Zhongmin Wang
Tao He
Prayag Tiwari
42
3
0
09 May 2024
Automated speech- and text-based classification of neuropsychiatric
  conditions in a multidiagnostic setting
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting
L. Hansen
R. Rocca
A. Simonsen
A. Parola
V. Bliksted
...
Dan Bang
Kristian Tylén
Ethan Weed
S. Ostergaard
Riccardo Fusaroli
26
3
0
13 Jan 2023
Modern Views of Machine Learning for Precision Psychiatry
Modern Views of Machine Learning for Precision Psychiatry
Z. Chen
Prathamesh Kulkarni
Kulkarni
I. Galatzer-Levy
Benedetta Bigio
C. Nasca
Yu Zhang
29
87
0
04 Apr 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
1