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Academic Kickstart: The Template for Academic Website Builder

Academic makes it easy to create a beautiful website for free using Markdown, Jupyter, or RStudio. Customize anything on your site with widgets, themes, and language packs. Check out the latest demo of what you'll get in less than 10 minutes, or view the showcase.

Academic Kickstart provides a minimal template to kickstart your new website.

Screenshot

Install

You can choose from one of the following four methods to install:

Then personalize your new site.

Ecosystem

  • Academic Admin: An admin tool to import publications from BibTeX or import assets for an offline site
  • Academic Scripts: Scripts to help migrate content to new versions of Academic

License

Copyright 2017-present George Cushen.

Released under the MIT license.

Analytics

zuojianhao's Projects

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

cdnet icon cdnet

The tutorials, datasets and source codes of the crosswalk detection (zebra crossing detection) network, which is robust in real scenes and real-time in Jetson nano. cross. detect. pedestrian.

centerface.pytorch icon centerface.pytorch

unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection

coda icon coda

Implementation for CODA

countseg icon countseg

Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019

crowd_counting_from_scratch icon crowd_counting_from_scratch

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision.

crowdcount-cascaded-mtl icon crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

dcnv2 icon dcnv2

Deformable Convolutional Networks v2 with Pytorch

deepcount icon deepcount

Deep Density-aware Count Regressor: a state-of-the-art method for crowd counting

gscnn icon gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

impersonator icon impersonator

PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

instant-ngp icon instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

lane-detector icon lane-detector

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

lanenet-lane-detection icon lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lightnet icon lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

pcc-net icon pcc-net

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

pointcloud icon pointcloud

็‚นไบ‘็š„ๅœฐ้ขๅˆ†ๅ‰ฒ๏ผŒไปฅๅŠ้ž็‚นไบ‘ๆ•ฐๆฎ็š„่š็ฑป๏ผŒๅนถไธ”่ฟ›่กŒๅฏ่ง†ๅŒ–

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