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🧑🎓 I’m a PhD Student@HKUST-ROAS Thrust.
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🔭 I’m currently working on Diffusion Modes.
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📄 Know about me from My Homepage.
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📧 Contact me: [email protected].
Name: Owen718
Type: User
Company: HKUST
Bio: CV Researcher|愿以有涯随无涯
🧑🎓 I’m a PhD Student@HKUST-ROAS Thrust.
🔭 I’m currently working on Diffusion Modes.
📄 Know about me from My Homepage.
📧 Contact me: [email protected].
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Attempting to make the Deep Learning Book easier to understand.
A collection of implementations of deep domain adaptation algorithms
深度学习、强化学习、模仿学习与机器人
Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)
Deforming kernels to adapt towards object deformation. In ICLR 2020.
An implement of paper Learning Deformable Kernels for Image and Video Denoising in PyTorch
ICASSP 2023 | DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Deep Joint Depth Estimation and Color Correction from Monocular Underwater Images based on Unsupervised Adaptation Networks
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, outputs, weights) and to query networks for inputs fulfilling a logical formula.
A toolkit for making real world machine learning and data analysis applications in C++
Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
Depthwise Over-parameterized Convolutional Layer
[ECCV 2020] DRG: Dual Relation Graph for Human-Object Interaction Detection
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
ECCV'22 Oral | Perceiving and Modeling Density for Single Image Dehazing.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
My best practice of training large dataset using PyTorch.
Embedded project set
This is Python implementation for a underwater image enhancement paper "Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map"
An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"
The implement of <fast visibility restoration from a single color or gray level image>.
FastDVDnet: A Very Fast Deep Video Denoising algorithm
BMVC'23 | FiveA+Network: You Only Need 9K Parameters for Underwater Image Enhancement
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.