Alpkant

Alpkant's Stars

• gamzeakyol/GNet

  GNet - Action recognition and prediction model from scene graphs

  Language:Python92

• DoubangoTelecom/FaceLivenessDetection-SDK

  3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

  Language:C++22250

• eemlcommunity/PracticalSessions2021

  Language:Jupyter Notebook6235

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.7k11.4k

• LuyuProgram/DSN

  Video-based Emotion Recognition Using Deeply-Supervised Neural Networks

  Language:Python39

• zJoaoP/rPPG-AntiSpoofing

  Language:Python63

• andreas128/NTIRE21_Learning_SR_Space

  CVPR 2021 Challenge on Super-Resolution Space

  Language:Python1056

• taDachs/Overview-of-Variational-Autoencoder-based-Generative-Models

  This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and training the mentioned models on celeb_a.

  Language:TeX122

• edjacob25/simple_deep_pix_bis

  A simple implementation of the Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection paper by A. George and S. Marcel

  Language:Python1

• SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

  Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)

  Language:Python936282

• huguesva/Face-Anti-Spoofing-Neural-Network

  Implementation of "Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision" in PyTorch.

  Language:Python8922

• HuangYG123/CurricularFace

  CurricularFace(CVPR2020)

  Language:Python53372

• Mira-13/figure-gen

  A Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.

  Language:Jupyter Notebook1136

• cszn/USRNet

  Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

  Language:Python871115

• cszn/KAIR

  Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  Language:Python3k642

• Lornatang/YOLOv4-PyTorch

  Pytorch implements yolov4.Good performance, easy to use, fast speed.

  Language:Python2815

• fatheral/matlab_imresize

  Python implementation of MatLab imresize function

  Language:Python15441

• ptkin/Awesome-Super-Resolution

  A curated list of awesome super-resolution resources.

  Language:HTML37371

• NVlabs/NVAE

  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

  Language:Python1k164

• andreas128/SRFlow

  Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

  Language:Jupyter Notebook832111

• facebookresearch/swav

  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

  Language:Python2k283

• blg604-proje/blg604-proje

  Deep Reinforcement Learning (BLG604E) Project Files for Students

  Language:Python42

• jixiaozhong/RealSR

  Real-World Super-Resolution via Kernel Estimation and Noise Injection

  Language:Python763103

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.9k7.5k

• adamian98/pulse

  PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

  Language:Python8k1.5k

• yamand16/ear2face

  9

• aome510/Mask-Classifier

  Detecting/classifying masked faces in real-time

  Language:Python3514

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.4k2.9k

• saeed-anwar/SRsurvey

  A Deep Journey into Super-resolution: A Survey, ACM Computing Surveys

  707

• assafshocher/BlindSR_dataset_generator

  Downscale a set of images by randomly created kernels and save them

  Language:Jupyter Notebook7614