Pinned Repositories
2018Fall
2D-kinectics
Train action classification model based on individual frames
3D-ResNets-PyTorch-master
add SEnet
CAN-MICRO-EXPRESSION-BE-RECOGNIZED-BASED-ON-SINGLE-APEX-FRAME
Micro-expression apex frame detection
CGT
Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer
DVSPAT
Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation
emonet
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
Joint-Local-and-Global-Information-Learning-with-Single-Apex-Frame-Detection-for-Micro-expression-Re
This code is about the paper "Joint Local and Global Information Learning with Single Apex Frame Detection for Micro-expression Recognition" January 2021 IEEE Transactions on Image Processing 30:249-263
optic-flow-estimation
Automatically exported from code.google.com/p/optic-flow-estimation
toolbox
Piotr's Image & Video Matlab Toolbox
liyantett's Repositories
liyantett/Joint-Local-and-Global-Information-Learning-with-Single-Apex-Frame-Detection-for-Micro-expression-Re
This code is about the paper "Joint Local and Global Information Learning with Single Apex Frame Detection for Micro-expression Recognition" January 2021 IEEE Transactions on Image Processing 30:249-263
liyantett/DVSPAT
Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation
liyantett/CGT
Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer
liyantett/emonet
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
liyantett/3D_face_dense_registration
Towards Fine-Grained Optimal 3D Face Dense Registration: An Iterative Dividing and Diffusing Method (IJCV2023)
liyantett/AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
liyantett/awesome-active-learning
A curated list of awesome Active Learning
liyantett/awesome-knowledge-distillation
Awesome Knowledge Distillation
liyantett/awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
liyantett/BFM_to_FLAME
Convert from Basel Face Model (BFM) to the FLAME head model
liyantett/CNN-rgbUAV
Using CNN (convolutional neural networks) to map forest tree species in high resolution UAV-based RGB-imagery
liyantett/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
liyantett/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
liyantett/Emotion-Regression-in-the-Wild
Regression Based Emotion Recognition using Aff-Wild dataset. Regression on Valence and Arousal values.
liyantett/face-emotion-recognition
Efficient face emotion recognition in photos and videos
liyantett/face_emotion_recognition
Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream
liyantett/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models
liyantett/facenet-pytorch-vggface2
A PyTorch implementation of Google's FaceNet [1] paper for training a facial recognition model with Triplet Loss and an implementation of the Shenzhen Institutes of Advanced Technology's 'Center Loss' [2] combined with Cross Entropy Loss using the VGGFace2 dataset. A pre-trained model using Triplet Loss is available for download.
liyantett/FacePose_pytorch
🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)
liyantett/FLAME_PyTorch
This is a implementation of the 3D FLAME model in PyTorch
liyantett/insightface
Face Analysis Project on MXNet
liyantett/LiYante.github.io
liyantett/Masked-Facial-expression
liyantett/Masked_facial_expression_recognition
Masked_facial_expression_recognitioin based AUs with SVM
liyantett/mmdetection
OpenMMLab Detection Toolbox and Benchmark
liyantett/now_evaluation
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
liyantett/Siamese-pytorch
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
liyantett/Yante-github-pages
My clone repository
liyantett/Yante.github.io
liyantett/YanteLi.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes