hwpengTristin

Additive-Margin-Softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

anygrasp_sdk

ArtiBoost

[CVPR 2022 Oral] ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

DFD-model

Domain-Private Factor Detachment Network for NIR-VIS Face Recognition

Domain-private-Factor-Detachment-Network

The proposed DFD combines DiRL, CdFD and CAL into an end-to-end framework.

DSVNs-model

We present an effective Disentangled Spectrum Variations Networks (DSVNs) for NIR-VIS HFR. Two key strategies are introduced to the DSVNs: Spectrum-adversarial Discriminative Feature Learning (SaDFL), and Step-wise Spectrum Orthogonal Decomposition (SSOD).

Facial-Expression-Recognition

Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).

MDNDC-model

We propose Scatter Loss objective function which can bridge the modality gap while preserving the identity information. Secondly, we design a Multiple Deep Networks (MDN) structure for feature extraction, and propose a joint decision strategy called Diversity Combination to adaptively adjust weights of each deep network.

pytorch_refinenet

Pytorch Implementation of Refinenet

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

hwpengTristin/DSVNs-model

We present an effective Disentangled Spectrum Variations Networks (DSVNs) for NIR-VIS HFR. Two key strategies are introduced to the DSVNs: Spectrum-adversarial Discriminative Feature Learning (SaDFL), and Step-wise Spectrum Orthogonal Decomposition (SSOD).

hwpengTristin/MDNDC-model

We propose Scatter Loss objective function which can bridge the modality gap while preserving the identity information. Secondly, we design a Multiple Deep Networks (MDN) structure for feature extraction, and propose a joint decision strategy called Diversity Combination to adaptively adjust weights of each deep network.

hwpengTristin/Facial-Expression-Recognition

Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).

hwpengTristin/pytorch_refinenet

Pytorch Implementation of Refinenet

hwpengTristin/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;

hwpengTristin/awesome-reid-dataset

Collection of public available person re-identification datasets

hwpengTristin/CBAM

Implement CBAM：Convolutional Block Attention Module with TensorFlow

hwpengTristin/Coordinating-Two-UR5-Robots-for-a-Pick-and-Place-Task

Two UR5 Robots are coordinated where one robot gets the object by detecting using a camera sensor and

hwpengTristin/Cross-Modal-Re-ID-baseline

Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)

hwpengTristin/DCCA-keras-tensorflow

Deep Canonical Correlation Analysis - Implemented using the Keras functional API and tensorflow backend

hwpengTristin/DeepUPE

Underexposed Photo Enhancement Using Deep Illumination Estimation

hwpengTristin/face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

hwpengTristin/Face-and-Image-super-resolution

hwpengTristin/Face-Yaw-Roll-Pitch-from-Pose-Estimation-using-OpenCV

This work is used for pose estimation(yaw, pitch and roll) by Face landmarks(left eye, right eye, nose, left mouth, right mouth and chin)

hwpengTristin/facenet

Face recognition using Tensorflow

hwpengTristin/Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

hwpengTristin/FSRNet-Tensorflow

Tensorflow implement FSRNet： End-to-End Learning Face Super-Resolution with Facial Priors

hwpengTristin/gail_ppo_tf

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

hwpengTristin/insightface

Face Analysis Project on MXNet

hwpengTristin/InsightFace-tensorflow

Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).

hwpengTristin/MMD-AutoEncoding-GAN-MAEGAN-

Maximum Mean Discrepancy Auto-Encoding Generative Adversarial Networks (MAEGAN)

hwpengTristin/Person_reID_baseline_pytorch

A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

hwpengTristin/Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

hwpengTristin/SphereFace

🍑 This is a MNIST Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR 2017

hwpengTristin/SRWGANGP

Super Resolution Wasserstein GAN with Gradient Penalty in Keras, 4x upscaling on CelebA faces dataset

hwpengTristin/Stacked-GAN-Face-SR

Stacked GAN face super resolution

hwpengTristin/test_ImageNet_models

Test classic ImageNet-pretrained image classification models including VGG, Inception and ResNet

hwpengTristin/tf.extra_losses

Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow

hwpengTristin/tf_cca_loss

A TensorFlow implementation of Canonical Correlation Analysis (CCA) loss with custom gradients.

hwpengTristin/WaveletSRNet

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"