Kangcheng Liu Jimmy (KangchengLiu)

KangchengLiu

Geek Repo

Company:Caltech, ETH Zurich, CUHK

Location:US

Home Page:https://kangchengliu.github.io/

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Kangcheng Liu Jimmy's starred repositories

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:3139Issues:44Issues:276

Surface-Defect-Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

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OWOD

(CVPR 2021 Oral) Open World Object Detection

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DEye

Keep an Eye on Defects Inspection.

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Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

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Deep-Learning-Approach-for-Surface-Defect-Detection

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

ov2slam

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

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TraDeS

Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)

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Tiny-Defect-Detection-for-PCB

This is a repository about PCB defect detection.

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Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

Surface-Inspection-defect-detection-dataset

This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection,etc

self_supervised

Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:317Issues:6Issues:33

differnet

This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

rp-vio

[IROS-21] RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)

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SegDecNet

Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"

VoV3D

Efficient 3D Backbone Network for Temporal Modeling

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referit3d

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

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Industrial-Defect-Inspection-segmentation

Automatic Defect Inspection with End-to-End Deep Learning

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smart-defect-inspection

Simple python script for industrial defect inspection( counting the number of pills during manufacturing)

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Zero-Shot-Hashing

Transductive Zero-Shot Hashing For Multi-Label Image Retrieval

Metal-Surface-Defect-Inspection

Metal Surface Defect Inspection through Deep Convolution Neural Network

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Steel-Surface-Defect-Detection

An Automatic real-time Optical Inspection System for classifying and detecting defects in steel surfaces.

CV-cap-liner-inspection

Computer Vision project for the inspection of defects in plastic cap liners

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cnn

spalling detection with cnn

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plasticdefects

Plastic Defects Inspection

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Multistage-Routing-in-Communication-Networks

Worked along with Prof Dr.Shalabh Bhatnagar to introduce a ‘Discrete Event Simulation Approach’ mechanism | Worked as a Project Trainee on a project on Routing in Communication Networks | Designed algorithm to generate discrete and continuous random variables | Implemented the M/M/c Queuing Theory with varying probabilities | Worked on Spall’s SPSA (Simultaneous perturbation stochastic approximation) algorithm. It is used to optimize systems with multiple unknown parameters using stochastic approximation.

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