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Starred repositories
An Open-Source Framework for Prompt-Learning.
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
VivianLiangB / senet.pytorch
Forked from moskomule/senet.pytorchPyTorch implementation of SENet
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
VivianLiangB / attn2d
Forked from elbayadm/attn2dPervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
A TensorFlow implementation of the Differentiable Neural Computer.
PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！
VivianLiangB / Emotion-FAN
Forked from Open-Debin/Emotion-FANICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
A real-time facial expression recognition system with webcam streaming and CNN
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
This is an example code for audio-visual emotion recognition via a hybrid deep model
Learning Supervised Scoring Ensemble for Emotion Recognition in the Wild, EmotiW 2017, ICMI 2017
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Deep Region and Multi-label Learning for Facial Action Unit Detection (CVPR16)
Experiment files for the paper "Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?", available here: http://arxiv.org/abs/1510.02969
Deep Region and Multi-label Learning for Facial Action Unit Detection
Facial Expression Recognition using Neural Netwroks
Predicting facial expressions with machine learning algorithms
train C3D with keras for action recognition
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction"
This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.
Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.
Tutorial about 3D convolutional network