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Easily train a good VC model with voice data <= 10 mins!
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Using vision-language models to decode natural image perception from non-invasive brain recordings.
The source code for the benchmark experiments of EIT-1M dataset.
We develops a multimodal dataset integrating MEs and EEG signals, using feature fusion to classify seven distinct emotional states.
Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)
In this project, we implemented the EDJAN model for EEG-based cross-dataset driver drowsiness recognition. The proposed model achieved mean accuracies of 83.68% and 76.90% on the cross-dataset tran…
[BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
The official implementation of Achieving Cross Modal Generalization with Multimodal Unified Representation (NeurIPS '23)
[CVPR 2024] ViT-Lens: Towards Omni-modal Representations
💻 🤖 A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech 🔈
Code for ALBEF: a new vision-language pre-training method
[ICLR 23 oral] The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
A curated list of Multimodal Related Research.
VCED 可以通过你的文字描述来自动识别视频中相符合的片段进行视频剪辑。该项目基于跨模态搜索与向量检索技术搭建，通过前后端分离的模式，帮助你快速的接触新一代搜索技术。
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
📜 A Novel Facial Emotion Recognition Model Using Segmentation VGG-19 Architecture
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
Deployed a facial emotion recognition using neural network model which predicts the emotion from faces in images, videos and live feed from webcam.
Efficient face emotion recognition in photos and videos
Real-Time facial emotion recognition in Python