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Image captioning with spatial attention using keras with tensorflow backend
IPMI2019 paper - Melanoma Recognition via Visual Attention
Keras implementation of Global Context Attention blocks
Attention mechanism for processing sequential data that considers the context for each timestamp.
Contains an implementation of the attention mechanism and a keras text classifier wrapper.
attention block for keras Functional Model with only tensorflow backend
Video Summarization
A matlab program that preforms key-frame extraction
Key frames extraction in traffic videos using K-Means
Part of CSE 252C
LSTM-Attention
Attention-based bidirectional LSTM for Classification Task (ICASSP 2018)
A new model of action recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Actions recognition in sport videos (football, basketball dancing ect)
A fine tuning of Mask R-CNN that moves the net to the recognition of subjects that playing sports action
Codes for paper "Mask Scoring R-CNN".
Action Recognition with Motion Map 3D Network
We present a technique of video stabilization to remove out external disturbances caused by shaky hands, turbulence etc. Our technique involves in used Matlab video processing toolkit to process the video. We can then break up the video into frames. By doing so we can move on to process the frames and extract key robust feature trajectory points for each frame. Once we have the key feature points for each frame, we take these feature points from two frames and calculate a high dimensional distance vectors for these points by applying a feature matching technique. Based on a certain threshold we choose the distance vectors with the lowest values. We proceed to apply RANSAC algorithm to find the most appropriate distance vectors without skewing our results by not including the outliers. By using this data we can apply the geometric transformations on our frames to obtain a more stabilized video. We present many examples demonstrating the effectiveness of our approach to stabilize the video as efficiently as possible.
Implementation of "Encoraging LSTMs to Anticipate Actions Very Early", ICCV 2017
Multimodal action recognition using autoencoders
Object detection and classification
Python bindings to optical flow algorithms.
Implementation Code for OFF
Optical Flow Guided Feature for Action Recognition-Pytorch
Pseudo-3D Residual Networks
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
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.