Lists (7)
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body-movement-analysis
Body movement analysis: identify unusual or abrupt movements such as hand flapping or leg kicking (for autistic children).Computer-vision/Image-processing
Computer-vision/Image-processing related stuffFER
Facial expression recognition taskGarment 3D generation
Garment 3D generationUni
University projectUseful tools
A collection of useful tools.VTON
Virtual try-onStars
SEAS - A Smart Enrollment Advisory System for CTU
[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection
[NeurIPS 2023] Official implementation of the paper "Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset"
An end-to-end multimodal system to an end-to-end system to support the creation, evaluation, and analysis of uni/multimodal ED models for children with autism pre-configured to use the CALMED dataset.
An third party re-implementation based on the original Kai Wang's code
This is a novel and easy method for annotation uncertainties.
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
An efficient video loader for deep learning with smart shuffling that's super easy to digest
MTCNN face detection implementation for TensorFlow, as a PIP package.
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
[IEEEE IJCB 2025 Accepted] TensorFlow code implementation of "MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition"
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition (ACM MM 2023)
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
Facial Expression Recognition using Python 3.5+ , Keras, and OpenCV
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
[AAAI'21] Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。(Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and…
It's a project of facial emotion recognition.
Official implementation of the ECCV2024 paper: Generalizable Facial Expression Recognition