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
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Human-behaviour-based-depression-analysis-using-hand-crafted-statistics-and-deep-learned
- Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation☆17Updated 4 months ago
- AVEC 2013 Continuous Audio/Visual Emotion and Depression Recognition Challenge☆20Updated 11 years ago
- Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation☆55Updated last year
- code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'☆23Updated 8 months ago
- LI-FPN is an excellent model for depression recognition based on facial expression.☆13Updated 7 months ago
- ☆10Updated 6 months ago
- ☆19Updated 3 months ago
- Detect Depression with AI Sub-challenge (DSS) of AVEC2019 experienment version via YZK☆13Updated 3 years ago
- Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.☆24Updated 5 years ago
- A survey of deep multimodal emotion recognition.☆51Updated 2 years ago
- ☆11Updated 3 years ago
- the baseline model of CMDC corpus☆33Updated 2 years ago
- depression-detect Predicting depression from AVEC2014 using ResNet18.☆40Updated 5 months ago
- ☆50Updated 9 months ago
- MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition (ACM MM 2023)☆93Updated last month
- [TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Rec…☆49Updated 3 weeks ago
- Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection☆18Updated last month
- ☆10Updated last year
- IEEE T-BIOM : "Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention"☆31Updated 9 months ago
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆26Updated 3 years ago
- Attention-Based Acoustic Feature Fusion Network for Depression Detection☆20Updated 4 months ago
- A list of pain recognition databases that are publicly available for research☆71Updated 3 years ago
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆46Updated 6 months ago
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆67Updated 3 years ago
- A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition☆30Updated 3 months ago
- [TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild☆83Updated last year
- Modality-Invariant Temporal Representation Learning☆16Updated last year
- ☆16Updated 2 weeks ago
- An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)☆96Updated last year