s-hisenberg Goto Github PK
Name: Shiheng Yu
Type: User
Company: Breezy
Shiheng Yu's Projects
2018-ccf-bdci-alibaba-3dpoint-cloud-segmentation
2018 CCF大数据与计算智能大赛自动驾驶三维点云分割复赛第四方案
ai_curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
awesome-point-cloud-analysis-2020
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
convolutional_occupancy_networks
[ECCV'20] Convolutional Occupancy Networks
det3d
A general 3D object detection codebse.
faster-r-cnn-with-model-pretrained-on-visual-genome
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
gpnn
Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.
interactiveimagesegmentation
An interactive image segmentation tool for image segmentation labeling, which use GrabCut and implemented in OpenCV 3 and Python.
leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
react-visual-editor
组件可视化拖拽，页面搭建，源码生成工具,自由拖拽嵌套，可实现任何真实开发中的复杂页面，所见即所得，可完美还原UI设计，多平台展示支持，项目于2020.2.22开源，喜欢的点颗星支持鼓励一下！visual drag and drop, free nesting, real-time preview of components, real-time tracking, WYSIWYG, perfect UI design restoration, source code Generated
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
slowfast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
vidvrd-helper
To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper
wiki
Wiki.js | A modern, lightweight and powerful wiki app built on Node.js
zsgnet-pytorch
Official implementation of ICCV19 oral paper Zero-Shot grounding of Objects from Natural Language Queries (https://arxiv.org/abs/1908.07129)
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