Li-Jicheng / MMASD-A-Multimodal-Dataset-for-Autism-Intervention-Analysis
This is the repository for MMASD: A Multimodal Dataset for Autism Intervention Analysis.
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MMASD-A-Multimodal-Dataset-for-Autism-Intervention-Analysis
- Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation☆17Updated 4 months ago
- the baseline model of CMDC corpus☆32Updated 2 years ago
- code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'☆23Updated 8 months ago
- AVEC 2013 Continuous Audio/Visual Emotion and Depression Recognition Challenge☆20Updated 11 years ago
- MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition (ACM MM 2023)☆93Updated last month
- Bachelor Thesis - Deep Learning-based Multi-modal Depression Estimation☆53Updated last year
- LI-FPN is an excellent model for depression recognition based on facial expression.☆13Updated 7 months ago
- ☆11Updated 3 years ago
- A public release of the DREAM dataset, comprising anonymous behavioural data from autism therapy☆23Updated 3 years ago
- Toolkits for Multimodal Emotion Recognition☆160Updated 5 months ago
- Code for paper multi-scale dynamic and hierarchical relationship modeling for facial action units recognition☆20Updated 4 months ago
- Human behaviour-based automatic depression analysis using hand-crafted statistics and deep learned spectral features☆11Updated 2 years ago
- [CVPR 2023] Micron-BERT: BERT-based Facial Micro-Expression Recognition☆126Updated last year
- [TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Rec…☆49Updated 2 weeks ago
- [Heliyon 2023] The implementation of paper "Activity Recognition in Children with Autism-Related Behaviors"☆16Updated 2 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
- Expression Snippet Transformer for Robust Video-based Facial Expression Recognition☆13Updated 9 months ago
- Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection☆15Updated last month
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆26Updated 3 years ago
- Emotion recognition methods through facial expression, speeches, audios, and multimodal data☆15Updated last year
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆43Updated 5 months ago
- This repository provides the codes for MMA-DFER: multimodal (audiovisual) emotion recognition method. This is an official implementation …☆18Updated last month
- An official implementation of "Decoupled Multimodal Distilling for Emotion Recognition" in PyTorch. (CVPR 2023 highlight)☆96Updated last year
- A Python tool for preprocessing the AffectNet dataset into a structure that can be directly read by Pytorch's ImageFolder method.一个用于预处理A…☆12Updated 8 months ago
- Code for paper "A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations"☆56Updated last week
- A Github repository about micro-expression recognition, micro-expression detection, and micro-expression analysis☆93Updated 11 months ago
- A survey of deep multimodal emotion recognition.☆51Updated 2 years ago
- [ICASSP 2023] Official Implementation of ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis☆23Updated last year
- [ICME-2023] Official Pytorch implementation of AU-aware graph convolutional network for Macro- and Micro-expression spotting☆21Updated 3 months ago