👋Hello , I am Tao Han ✨. ![](https://camo.githubusercontent.com/19a8ebc9ad98b8baeadeffbc247d60bcf53903108eec158d233e59c2269d7535/68747470733a2f2f76697369746f722d62616467652e676c697463682e6d652f62616467653f706167655f69643d74616e68616f31303230302e686f6d6570616765)
- 🔭 I’m currently a PhD student at HKUST and an intern at Shanghai AI Lab.
Name: tao han
Type: User
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
Awesome Crowd Counting
Awesome Crowd Localization
Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
A collection of AWESOME things about domian adaptation
A large compression model for weather and climate data, which compresses a 200+ TB ERA5 dataset into a new 0.7TB CRA5 dataset.
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
The main goal of FengWu-GHR is to enable LWM inference with minimal setup and state-of-the-art performance on a wide variety of hardware - locally and in the cloud.
profile
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
OpenMMLab Detection Toolbox and Benchmark
PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."
PyTorch Implementation of Fully Convolutional Networks.
PyTorch Implementations for DeeplabV3 and PSPNet
Model summary in PyTorch similar to `model.summary()` in Keras
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023
Predict stock with LSTM supporting pytorch, keras and tensorflow
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
TaoHan's HomePage
PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)
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.