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Name: Ming
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Name: Ming
Type: User
[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City(CVPR 2020 AI City Challenge Track 3)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
CVPR 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
Official Implementation of 'Fast AutoAugment' in PyTorch.
SOTA ReID Methods and Toolbox
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Style transfer, deep learning, feature transform
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
This is a implementation of the 3D FLAME model in PyTorch
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
Collection of common code that's shared among different research projects in FAIR computer vision team.
[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Code for "GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting"
Implementation of Graph Convolutional Networks in TensorFlow
Build Graph Nets in Tensorflow
Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326
Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
Hyperbolic Embeddings
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Image augmentation for machine learning experiments.
Code for unsupervised learning of object landmarks as proposed in "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.
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.