SaraSherinThomas / Emotionet
A new computer vision algorithm for the recognition of AUs typically seen in most applications, their intensities, and a large number (23) of basic and compound emotion categories across databases. Additionally, images are annotated semantically with 421 emotion keywords.
☆17Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Emotionet
- EmotionNet2 convolutional neural network for expression recognition☆8Updated 2 years ago
- Covariance Pooling for Facial Expression Recognition☆94Updated 6 years ago
- Joint Pose and Expression Modeling for Facial Expression Recognition☆73Updated 5 years ago
- Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"☆85Updated 2 years ago
- Source code for EAC-Net in Theano/Pytorch/Tensorflow☆19Updated 6 years ago
- 😁[VCIP'19 Oral] Official PyTorch Implementation of Facial Motion Prior Networks for Facial Expression Recognition☆99Updated 4 years ago
- MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition☆58Updated 3 years ago
- FERAtt: Facial Expression Recognition with Attention Net☆74Updated 4 years ago
- Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering (CVPR18)☆17Updated 6 years ago
- ECCV 2018 "Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment"☆92Updated 4 years ago
- Implementation of Deep Region and Multi-Label Learning for Facial Action Unit Detection.☆45Updated 6 years ago
- BMVC 2020 self-supervised learning code☆25Updated 4 years ago
- MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images☆139Updated 3 years ago
- [AAAI 2020] Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution☆93Updated last year
- Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)☆64Updated 4 years ago
- Pytorch code for BMVC 2018 paper☆86Updated 4 years ago
- Occlusion aware facial expression recognition using CNN with attention mechanism☆83Updated 3 years ago
- Implement of LTNet in "Facial expression recognition with inconsistent datasets", ECCV 2018☆46Updated 5 years ago
- ☆80Updated 5 years ago
- Patch Attentive Deep Network for Action Unit Detection☆38Updated 3 years ago
- Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)☆149Updated last year
- FER using CNN☆37Updated 6 years ago
- Tool for online Valence and Arousal annotation.☆34Updated 4 years ago
- PyTorch implementation of JAA-Net including both ECCV version and IJCV version☆98Updated this week
- Transferring Face Verification Nets To Pain and Expression Regression☆39Updated 7 years ago
- PyTorch code for "M³T: Multi-Modal Multi-Task Learning for Continuous Valence-Arousal Estimation"☆23Updated 4 years ago
- Deep Region and Multi-label Learning for Facial Action Unit Detection (CVPR16)☆63Updated 8 years ago
- The official implementation code of paper: "AU R-CNN:Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection".☆87Updated 2 months ago
- facial expression recognition with Pytorch☆76Updated 6 years ago
- IEEE Transactions on Affective Computing "Unconstrained Facial Action Unit Detection via Latent Feature Domain"☆28Updated 3 years ago