Beijing

Researcher.YuanYuhui

Elite
@PkuRainBow

Keep Calm

HDC.caffe. Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

98

Hard-Aware-Deeply-Cascaed-Embedding. source code for the paper "Hard-Aware-Deeply-Cascaed-Embedding"

32

leetcode_locked_problems. C++

4

PIFuHD. This repository contains the code for the paper "PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization"

3

panoptic-deeplab-1. This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

2

ISD-SSD. Python

2

baike_scrapy. implement a spider to crawl baidu baike based on scrapy ..

2

DPSH_IJCAI_2016. The toy experient based on the DPSH paper by LiWuJun from NJU

2

slot_attention. Python

1

WCT2. Software that can perform photorealistic style transfer without the need of any post-processing steps.

1

Transformers-Tutorials. This repository contains demos I made with the Transformers library by HuggingFace.

1

dynconv. Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

1

flux. Official inference repo for FLUX.1 models

1

TCNN. triplet network pipeline

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detectron2. Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

1

DANet. Dual Attention Network for Scene Segmentation

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LeetCode-Solutions. :octocat: (Weekly Update) Python / C++ 11 Solutions of All 1070 LeetCode Problems

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FCOS. FCOS: Fully Convolutional One-Stage Object Detection

1

semantic-segmentation-pytorch. Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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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.

1

Switchable-Normalization. Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

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algorithm_code.

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