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Name: Dr Yifan Liu
Type: User
Company: the University of Adelaide
Bio: https://orcid.org/0000-0002-2746-8186 @aim-uofa
Location: Adelaide
Name: Dr Yifan Liu
Type: User
Company: the University of Adelaide
Bio: https://orcid.org/0000-0002-2746-8186 @aim-uofa
Location: Adelaide
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a useful application in digital entertainment. In this paper, we investigate the sketch-to-image synthesis problem by using conditional generative adversarial networks (cGAN). We propose a model called auto-painter which can automatically generate compatible colors given a sketch. Wasserstein distance is used in training cGAN to overcome model collapse and enable the model converged much better. The new model is not only capable of painting hand-draw sketch with compatible colors, but also allowing users to indicate preferred colors. Experimental results on different sketch datasets show that the auto-painter performs better than other existing image-to-image methods.
The code of building a web demo for Auto_painter
The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"
Unofficial implementation of CARAFE: Content-Aware ReAssembly of FEatures. Pure pytorch imp
MS COCO API - http://mscoco.org/
reading note
Keras implementation of the conditional GAN.
Generate your lover with your photo
Channel-wise Distillation for Semantic Segmentation
Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
Tensorflow (Python API) implementation of Deep Photo Style Transfer
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
DenseASPP for Semantic Segmentation in Street Scenes
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
Deep Learning GPU Training System
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
dvn for semantic segmentation
This repository contains the source code of our work on designing efficient CNNs for computer vision
We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.
Pytorch code for semantic segmentation using ERFNet
A light-weight, power efficient, and general purpose convolutional neural network
Enforcing temporal consistency in real-time per-frame semantic video segmentation
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Fully Convolutional HarDNet for Segmentation in Pytorch
FCOS: Fully Convolutional One-Stage Object Detection
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.