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A reading list of top Conferences & Journals, focused on facial expression recognition (FER), facial action unit (FAU) recognition and other emotion-related papers.
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Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition (AGRA, ACM 2020, Oral)
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Covariance Pooling for Facial Expression Recognition
CurricularFace(CVPR2020)
Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)
Official implementation of DAN
Deep Learning Specialization by Andrew Ng on Coursera.
Deformable Convolutional Networks
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
[2020-CVPR]Data Uncertainty Learning in Face Recognition
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
Facial Expression Editing with Controllable Expression Intensity
Efficient face emotion recognition in photos and videos
@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
A Keras implementation of FECNet, which proposed in "A Compact Embedding for Facial Expression Similarity"
FERAtt: Facial Expression Recognition with Attention Net
Official PyTorch Implementation of 'Facial Motion Prior Networks for Facial Expression Recognition', VCIP 2019, Oral
A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 20% on an iPhone XS Max without sacrificing accuracy.
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning to Cluster Faces on an Affinity Graph (CVPR 2019)
An Extendible (General) Continual Learning Framework based on Pytorch.
Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Emotion Classifier using landmarks in CK+ dataset
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.