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mengdebin18's Projects

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-fer icon awesome-fer

A reading list of top Conferences & Journals, focused on facial expression recognition (FER)

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dll icon dll

Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

elegant icon elegant

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

emotion-fan icon emotion-fan

ICIP 2019: FRAME ATTENTION NETWORKS FOR FACIAL EXPRESSION RECOGNITION IN VIDEOS

emotiw icon emotiw

code for Emotion Recognition in the Wild (EmotiW) challenge

ferplus icon ferplus

This is the FER+ new label annotations for the Emotion FER dataset.

ganimation icon ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

hyperlearn icon hyperlearn

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones

ltnet icon ltnet

Implement of LTNet in "Facial expression recognition with inconsistent datasets", ECCV 2018

ml_gcn icon ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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