Pinned Repositories
DepMamba
Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection
Depression-Detection-on-DAIC-WOZ-EDAIC-WOZ
Depression detection using RoBERTa on DAIC-WOZ and EDAIC-WOZ datasets. Transformer-based classification with RoBERTa, benchmarked against BERT. Explores advanced NLP techniques for mental health analysis.
Depression_Recognition
Depression Recognition
DepressionDectection
EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
EEG-STGCN
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
EEG-Transformer
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
Emotion-Detection-System
A multimodal emotion detection system developed over cnn and contains video, audio and text analysis
feature-vs-text-compound-emotion
HiQuE
[ACM CIKM 2024] Official code for HiQuE (Hierarchical Question Embedding Network for Multimodal Depression Detection)
Azure-sco's Repositories
Azure-sco/DepMamba
Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection
Azure-sco/Depression-Detection-on-DAIC-WOZ-EDAIC-WOZ
Depression detection using RoBERTa on DAIC-WOZ and EDAIC-WOZ datasets. Transformer-based classification with RoBERTa, benchmarked against BERT. Explores advanced NLP techniques for mental health analysis.
Azure-sco/Depression_Recognition
Depression Recognition
Azure-sco/DepressionDectection
Azure-sco/EEG-Conformer
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
Azure-sco/EEG-STGCN
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
Azure-sco/EEG-Transformer
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
Azure-sco/Emotion-Detection-System
A multimodal emotion detection system developed over cnn and contains video, audio and text analysis
Azure-sco/feature-vs-text-compound-emotion
Azure-sco/HiQuE
[ACM CIKM 2024] Official code for HiQuE (Hierarchical Question Embedding Network for Multimodal Depression Detection)
Azure-sco/ICASSP2022-Depression
Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus
Azure-sco/MCA
[MICCAI 2024 Acceptance] Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
Azure-sco/multimodal-depression-from-video
Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"
Azure-sco/nd-Mamba2-torch
Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;
Azure-sco/PDF
Azure-sco/RJCMA
ABAW6 (CVPR-W) We achieved second place in the valence arousal challenge of ABAW6