Mohamed Zahran's Projects
This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.
π₯Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Template repository for a Python 3-based (data) science project with GPU acceleration using the TensorFlow ecosystem.
A simple toolkit to easily apply image classification networks to your data.
Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"
Term 1, Project 3 - Udacity Self Driving Car Nanodegree
Matrix Class Implementation Project from the Udacity Intro to Self-Driving Cars Nanodegree.
Keras implementation of the VGG16-CAM model
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.