Name: Keivan Bahmani
Type: User
Company: GBG USA, Clarkson University
Bio: Working on Machine learning, Biometrics, and Identity.
Location: San Francisco, CA
Blog: https://scholar.google.com/citations?user=owX7mmsAAAAJ&hl=en
Keivan Bahmani's Projects
A technical report on convolution arithmetic in the context of deep learning
Distributed Evolutionary Algorithms in Python
Notes and experiments to understand deep learning concepts
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Gesture Recognition Using Neural Networks with Google's Project Soli Sensor
DeepVis Toolbox
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
tensorflow + python3实现,目标是实现DeepID2+
DeepID-implementation is an implementation of paper "Deep Learning Face Representation from Predicting 10,000 Classes"
Practise of DeepID for Face Classification
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
docker image for the NFIQ2 (NIST Fingerprint Image Quality) binary developped by the NIST.
A Python library for the Docker Engine API
Implementing a 2D Ear Biometrics system that uses Deep Learning for classification.
Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition
The stable biometric nature of the ear has led to an interest in ear recognition. The advantages of fixed shape and complex but stable appearance of makes it a potentially reliable biometric. We proposed the use of CHAINLETS using Deep Contour-based edge detection as a novel ear descriptor. CHAINLETS supports patches of Histogram of Chain Code to describe an ear and support accurate biometric ear matching. These descriptors significantly outperform existing feature sets for human ear recognition. Our study of the existing edge boundary and Chain Code based descriptors played a significant part in determining the direction of ear edges, especially when applied on patches of an ear. We performed an extensive evaluation using highquality local contrast normalization in overlapping descriptor blocks and the similarity distances for matching on new Unconstrained Ear Recognition Challenge dataset from the University of Ljubljana, Slovenia. The experimental results show that the novel CHAINLETS approach achieves higher recognition performance than the state-of-the-art algorithms.
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Keras implementation of Efficient Neural Architecture Search
Earth observation processing framework for machine learning in Python
:fire: 2D and 3D Face alignment library build using pytorch
Original Caffe Version for LightCNN-9. Highly recommend to use Pytorch Version (https://github.com/AlfredXiangWu/LightCNN)
Face recognition using Tensorflow
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
Functional ANOVA
A tool using OpenCV to annotate images for image classification, optical character reading, ...
A faster pytorch implementation of faster r-cnn
Development and implementation of the feature selector