Name: Sara Fattouh
Type: User
Company: Nokia
Bio: Machine learning engineer, experienced in producing AI-related applications using deep learning techniques (e.g. Natural Languages Processing, Computer Vision).
Location: Budapest, Hungary
Sara Fattouh's Projects
A robust approach to Iterated Closest Point (ICP) point cloud registration.
Step by step to build android apps with Android Studio. Code files for YouTube tutorial
Edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.
Prediction of hotelsโ scores using classification models.
Cat eyes and nose keypoint detector model using Heatmap Regression in tf.keras.
Motion tracking of feature points and dense optical flow.
Deep multi-modal multi-level fusion framework that classifies previously unseen commercial products into their type codes based on visual and textual features (image and text modalities fusion)
Mask R-CNN based instance segmentation model using Detectron2 on Simpsons Dataset
Automatic image thresholding to separate pixels into two classes, foreground and background.
Finding disparity image of a stereo pair by performing matching process using Dynamic Programming and Naive approaches.
Estimation of disparity image from 2 callibrated cameras.
Simulation of an IOT system that keeps track of and guides autonomous vehicles operating within a city.
Apply a bilateral filter to upsample a depth image, guided by an RGB image.