wutianyiRosun

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https://scholar.google.com/citations?user=FHdkcWsAAAAJ&hl=en

Rosun's repositories

WCT2

Software that can perform photorealistic style transfer without the need of any post-processing steps.

Language:PythonMIT200

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Language:PythonBSD-3-Clause100

awesome-computer-vision

A curated list of awesome computer vision resources

100

lihang-code

《统计学习方法》的代码实现

Language:Jupyter Notebook100

AdaptiveMaskedProxies

Adaptive Masked Proxies for Few Shot Semantic Segmentation

Language:Jupyter Notebook010

awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

010

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

010

CCNet

CCNet: Criss-Cross Attention for Semantic Segmentation

Language:PythonMIT000

cgnl-network.pytorch

Compact Generalized Non-local Network (NIPS 2018)

Language:PythonMIT010

cvpr2019

cvpr2019 papers

020

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Language:CudaMIT010

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

Language:PythonMIT000

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

Language:PythonMIT000

gcn

Implementation of Graph Convolutional Networks in TensorFlow

Language:PythonMIT010

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Language:PythonMIT010

lighttrack

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

Language:PythonMIT020

MANet_for_Video_Object_Detection

Fully Motion-Aware Network for Video Object Detection

Apache-2.0000

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Language:PythonMIT000

ML_GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

Language:Python010

monodepth

Unsupervised single image depth prediction with CNNs

Language:PythonNOASSERTION000

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Language:PythonBSD-3-Clause000

PTSNet

Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation

Language:Python010

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

Language:PythonMIT000

Pytorch-UNet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

Language:PythonGPL-3.0010

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Language:PythonMIT010

Revisiting_Single_Depth_Estimation

official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"

Language:Python010

rvos

RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)

Language:PythonNOASSERTION000

semseg

Semantic Segmentation in Pytorch

Language:PythonMIT000

torchstat

Model analyzer in PyTorch

Language:PythonMIT000

VASNet

PyTorch implementation of the ACCV 2018-AIU2018 paper Video Summarization with Attention

Language:PythonMIT010