SSYSteve / Human-behaviour-based-depression-analysis-using-hand-crafted-statistics-and-deep-learned
Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features
☆12Updated 3 years ago
Alternatives and similar repositories for Human-behaviour-based-depression-analysis-using-hand-crafted-statistics-and-deep-learned:
Users that are interested in Human-behaviour-based-depression-analysis-using-hand-crafted-statistics-and-deep-learned are comparing it to the libraries listed below
- Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation☆20Updated last month
- code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'☆26Updated 3 weeks ago
- AVEC 2013 Continuous Audio/Visual Emotion and Depression Recognition Challenge☆22Updated 11 years ago
- Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation☆62Updated last year
- ☆13Updated 8 months ago
- Detect Depression with AI Sub-challenge (DSS) of AVEC2019 experienment version via YZK☆13Updated 3 years ago
- LI-FPN is an excellent model for depression recognition based on facial expression.☆13Updated 9 months ago
- MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition (ACM MM 2023)☆99Updated 3 months ago
- ABAW3 (CVPRW): A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition☆38Updated last year
- [TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Rec…☆57Updated last month
- This repository provides the codes for MMA-DFER: multimodal (audiovisual) emotion recognition method. This is an official implementation …☆25Updated 4 months ago
- IEEE T-BIOM : "Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention"☆34Updated last month
- An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)☆105Updated last year
- Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.☆25Updated 5 years ago
- depression-detect Predicting depression from AVEC2014 using ResNet18.☆42Updated 7 months ago
- Attention-Based Acoustic Feature Fusion Network for Depression Detection☆23Updated 5 months ago
- We achieved the 2nd and 3rd places in ABAW3 and ABAW5, respectively.☆26Updated 10 months ago
- the baseline model of CMDC corpus☆36Updated 2 years ago
- ☆20Updated 5 months ago
- ☆11Updated 3 years ago
- A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition☆32Updated 5 months ago
- code for: POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition☆49Updated last year
- Modality-Invariant Temporal Representation Learning☆17Updated last year
- [TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild☆86Updated last year
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆52Updated 8 months ago
- [CVPR 2023] Code for "Learning Emotion Representations from Verbal and Nonverbal Communication"☆43Updated last year
- A survey of deep multimodal emotion recognition.☆53Updated 2 years ago
- ☆30Updated 2 years ago
- ☆26Updated 3 years ago