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Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
Weakly-supervised Action Localization
3D ResNets for Action Recognition (CVPR 2018)
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
The official repository of our paper "ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization".
Action Recognition with Cross-correlation fusion network and Discriminative Filter Network
Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"
An optimizer that trains as fast as Adam and as good as SGD.
The project website for "Auto-Encoding Transformations."
My implementation of the vehicle anomaly detection from https://github.com/ShuaiBai623/AI-City-Anomaly-Detection
[CVPR2020] Adversarial Latent Autoencoders
Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
Appearance-Motion Memory Consistency Network for Video Anomaly Detection
Correspondence Networks with Adaptive Neighbourhood Consensus
Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
Anomaly detection from surveillence videos using Deep Multiple Instance Learning
Real-World Anomaly Detection in Surveillance Videos
This system will identify the violation in traffic rules at traffic junctions using the cctv footage obtained at different traffic junctions using multilevel hdp and guassian process with active learning
Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.
The Combined Anomalous Object Segmentation (CAOS) Benchmark
This repository is for Weakly Supervised Video Anomaly Detection via Center-Guided Discriminative Learning(ICME 2020). The original paper can be found (https://ieeexplore.ieee.org/document/9102722)
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Real-time anomaly detection system for highway traffic data
Implementation of Real-World Anomaly Detection CVPR_2018 paper
Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018
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.