KangHyunWook
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[NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Code and experiments for L-empirical risk minimization.
Attention-Based Acoustic Feature Fusion Network for Depression Detection
The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction"
GCNet, official pytorch implementation of our paper "GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation"
The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition".
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
This is a novel and easy method for annotation uncertainties.
My Portfolio - Personal Website
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
Small projects to clarify big concepts
EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.
Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
An official implementation of "Incomplete Multimodality-Diffused Emotion Recognition" in PyTorch. (NeurIPS 2023)
EEG-based Emotion Recognition via Channel-wise Attention and Self Attention
[ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
This repo contains implementation of different architectures for emotion recognition in conversations.
NAACL 2022 paper on Analyzing Modality Robustness in Multimodal Sentiment Analysis
[TIP'21] Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild