Pinned Repositories
arcface-pytorch
Audio2Face
http://www.facegood.cc
CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
DDL
Improving Face Recognition from Hard Samplesvia Distribution Distillation Loss
Decorrelated-Adversarial-Learning
This is an unofficial implementation for the 2019 ICCV paper 'Decorrelated Adversarial Learning for Age-Invariant Face Recognition' from Tencent AI Lab
Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DFDNet
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
generators-with-stylegan2
Here is a series of face generators based on StyleGAN2
maryhh's Repositories
maryhh/arcface-pytorch
maryhh/Audio2Face
http://www.facegood.cc
maryhh/CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
maryhh/DDL
Improving Face Recognition from Hard Samplesvia Distribution Distillation Loss
maryhh/Decorrelated-Adversarial-Learning
This is an unofficial implementation for the 2019 ICCV paper 'Decorrelated Adversarial Learning for Age-Invariant Face Recognition' from Tencent AI Lab
maryhh/Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
maryhh/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
maryhh/DFDNet
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
maryhh/Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
maryhh/generators-with-stylegan2
Here is a series of face generators based on StyleGAN2
maryhh/google-research
Google Research
maryhh/insightface
Face Analysis Project on MXNet
maryhh/LEGO
LEGO:Language-Enhanced Multi-modal Grounding Model
maryhh/MFR
Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
maryhh/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
maryhh/NoiseFace
Noise-Tolerant Paradigm for Training Face Recognition CNNs
maryhh/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
maryhh/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
maryhh/stylegan-encoder
StyleGAN Encoder - converts real images to latent space
maryhh/stylegan2
StyleGAN2 - Official TensorFlow Implementation
maryhh/SV-X-Softmax
maryhh/TFace
A trusty face recognition research platform developed by Tencent Youtu Lab
maryhh/tlt-iva-examples
A notebook that demonstrates how to use the NVIDIA Intelligent Video Analytics suite to detect objects in real-time. We use Transfer Learning Toolkit to train a fast and accurate detector and DeepStream to run that detector on an NVIDIA Jetson edge device.
maryhh/wav2pix
Speech-conditioned face generation using Generative Adversarial Networks (ICASSP 2019)