Yung Lee (mysee1989)

mysee1989

Geek Repo

Company:Institute of Computing Technology, Chinese Academy of Sciences

Location:Beijing

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Yung Lee's repositories

TCAE

Self-supervised Representation Learning from Videos for Facial Action Unit Detection

PG-CNN

Occlusion aware facial expression recognition using CNN with attention mechanism

GraphJigsaw

Code for the paper: Graph Jigsaw Learning for Cartoon Face Recognition

AI_Curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

AutoCrawler

Collect images from internet fast

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autoptim

Automatic differentiation + optimization

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Awesome-Crowd-Counting

Awesome Crowd Counting

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benchmark_results

Visual Tracking Paper List

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CenterNet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

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colorwheel

create a color wheel for optical flow

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CRNN_Tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

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Deep-Learning-Approach-for-Surface-Defect-Detection

(秒杀 DeepLabV3+ 和Unet 的缺陷检测网络) A Tensorflow implementation of "(cvpr2019)Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

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Deep3DFaceReconstruction

Deep3DFaceReconstruction

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Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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EXTD_Pytorch

Official EXTD Pytorch code

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face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

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HRNet-Facial-Landmark-Detection

High-resolution representation learning (HRNets) for facial landmark detection

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HyperVID

移动端车型识别[Experimental] Mobile Plateform Vehicle Identification Model

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multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

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nlp_made_easy

Explains nlp building blocks in a simple manner.

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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practical-cryptography-for-developers-book

Practical Cryptography for Developers: Hashes, MAC, Key Derivation, DHKE, Symmetric and Asymmetric Ciphers, Elliptic Curves, Digital Signatures

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pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

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Recommenders

Recommender Systems

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tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

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U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

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Ultra-Light-Fast-Generic-Face-Detector-1MB

一款超轻量级通用人脸检测模型(模型文件大小仅1MB,320x240输入下计算量仅90MFlops)适用于边缘计算设备、移动端设备以及PC

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