liujianzhao6328057

liujianzhao6328057's Stars

• modelscope/3D-Speaker

  A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

  Language:Python1.5k126

• haocaiMUN/Sharpness-Assessment

  Language:MATLAB9

• BIT-DA/EADA

  [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

  Language:Python8312

• CDPA-SCA/Cross-Device-Profiled-Attack

  Language:Jupyter Notebook75

• manricheon/IQT

  16

• bigdata-inha/Split-and-Bridge

  (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network

  Language:Python246

• microsoft/Bringing-Old-Photos-Back-to-Life

  Bringing Old Photo Back to Life (CVPR 2020 oral)

  Language:Python15.3k2k

• weizhou-geek/Recent-Image-Quality-Related-Papers

  A list of image quality related papers published in top conferences and journals

  1158

• weizhou-geek/VGCN-PyTorch

  PyTorch Implementation of TCSVT 2020 "Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks"

  Language:Python238

• k-han/AutoNovel

  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

  Language:Python22520

• AntreasAntoniou/FewShotContinualLearning

  The original code for the paper "Benchmarks for Continual Few-Shot Learning".

  Language:Python345

• AntreasAntoniou/Learning_to_Learn_via_Self-Critique

  The original code for the paper "Learning to Learn via Self-Critique".

  Language:Python468

• linjx-ustc1106/TuiGAN-PyTorch

  PyTorch Implementation of ECCV 2020 Spotlight "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images"

  Language:Python18615

• huaxiuyao/ARML

  ARML for ICLR 2020

  Language:Python425

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k881

• ServiceNow/osaka

  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.

  Language:Python10411

• uvm-neurobotics-lab/ANML

  A Neuromodulated Meta-Learning algorithm

  Language:Python11520

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k398

• zllrunning/face-parsing.PyTorch

  Using modified BiSeNet for face parsing in PyTorch

  Language:Python2.4k464

• scaleway/frontalization

  Pytorch deep learning face frontalization model

  Language:Python21850

• wuhuikai/DeepGuidedFilter

  Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

  Language:Python844147

• VainF/CommonFeatureLearning

  (IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

  Language:Python105

• One-sixth/ms_ssim_pytorch

  A fast ssim & ms-ssim implement code with pytorch jit.

  Language:Python5618

• z-bingo/kernel-prediction-networks-PyTorch

  Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch

  Language:Python17641

• liujianzhao6328057/kernel-prediction-networks-PyTorch

  Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch

  Language:Python1

• mwaskom/seaborn-data

  Data repository for seaborn examples

  Language:Python1.6k3k

• yn-sun/ea-cnn

  This is the code for the paper of "Completely automated CNN architecture design based on blocks"

  Language:Python2719

• sg-nm/Operation-wise-attention-network

  Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)

  Language:Python9516

• hejingwenhejingwen/AdaFM

  CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

  Language:Python18421

• JunhoJeon/unsupervised-color-enhance

  Unsupervised image color enhancement using implementation of CycleGAN-tensorflow

  Language:Python81