Stars
Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .
Uncertainty-aware Blur Prior on CVPR 2025
This repo provides a demo for the "Exploiting the Intrinsic Neighborhood Semantic Structure for Domain Adaptation in EEG-based Emotion Recognition" on the SEED and HIED datasets. https://ieeexplore…
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
Official implementation of paper "Learning High-Order Relationships of Brain Regions" [ICML 2024]
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition
This project is the official implementation of ``Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation'' in PyTorch, which is accepted by ACM MM 2022.
[tnnls 2025] Language-guided contrastive learning for M/EEG-based image recognition.
This repository is for task-incremental-learning in LiDAR-based 3D object detection.
Class Incremental learning, Task Incremental Learning
Awesome Few-Shot Class-Incremental Learning
Official pytorch implementation of Rainbow Memory (CVPR 2021)
A Comprehensive Analysis of the Neural Fits of Sentence Embedding Model Paradigms
Data and code for reproducing results of Horikawa, Cowen, Keltner, and Kamitani (2020) The neural representation of visually evoked emotion is high-dimensional, categorical, and distributed across …
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Graph Convolutional Networks for Temporal Action Localization (ICCV2019)
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Pytorch implementation for "Dynamic Instance Domain Adaptation" (DIDA-Net, accepted to IEEE T-IP).
This repo provides a demo for the paper "SSAA-MSDA" on the SEED dataset and SEED-iv dataset.
[ICLR 2025] Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.