atapour
Assistant Professor, Durham University, UK. Computer Vision, Image Processing, Natural Language Processing, Machine Learning, etc.
Durham UniversityDurham, United Kingdom
Pinned Repositories
depth-hole-prediction
This repository contains code for training and testing a model used to predict where holes would appear in a depth image based on an RGB image input.
depthComp
A real-time depth filling approach based on prior image segmentation (http://www.atapour.co.uk/papers/BMVC2017.pdf).
dl-pytorch
Examples and code demonstrations for the Deep Learning module at Durham University
invisible-me
This repo contains a set of simple excercises in colour filtering from a live video image. The demo will lead to the implementation of a simple "cloak of invisibility".
ip-python-opencv
Examples and code demonstrations for the Image Processing module at Durham University
keras-dl-examples
Examples and demonstration written in Python and Keras used in the "Deep Learning" lecture series at Newcastle University (CSC8637).
monocularDepth-Inference
Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://atapour.co.uk/papers/atapour18monocular.pdf).
rank-over-class
Source code for the training pipeline of the text ranking model used in the paper entitled "Rank over Class: The Untapped Potential of Ranking in Natural Language Processing" (https://arxiv.org/abs/2009.05160).
ransomware-classification
Training and testing pipeline for ransomware classification based on screenshots of the splash screens or ransom notes (https://arxiv.org/pdf/1908.06750.pdf).
temporal-depth-segmentation
Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
atapour's Repositories
atapour/monocularDepth-Inference
Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://atapour.co.uk/papers/atapour18monocular.pdf).
atapour/depthComp
A real-time depth filling approach based on prior image segmentation (http://www.atapour.co.uk/papers/BMVC2017.pdf).
atapour/ip-python-opencv
Examples and code demonstrations for the Image Processing module at Durham University
atapour/temporal-depth-segmentation
Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
atapour/rank-over-class
Source code for the training pipeline of the text ranking model used in the paper entitled "Rank over Class: The Untapped Potential of Ranking in Natural Language Processing" (https://arxiv.org/abs/2009.05160).
atapour/ransomware-classification
Training and testing pipeline for ransomware classification based on screenshots of the splash screens or ransom notes (https://arxiv.org/pdf/1908.06750.pdf).
atapour/dl-pytorch
Examples and code demonstrations for the Deep Learning module at Durham University
atapour/depth-hole-prediction
This repository contains code for training and testing a model used to predict where holes would appear in a depth image based on an RGB image input.
atapour/keras-dl-examples
Examples and demonstration written in Python and Keras used in the "Deep Learning" lecture series at Newcastle University (CSC8637).
atapour/invisible-me
This repo contains a set of simple excercises in colour filtering from a live video image. The demo will lead to the implementation of a simple "cloak of invisibility".
atapour/DGNN-Demos
Deep Generative Neural Networks - Demos
atapour/PyTorch_Demo
Simple PyTorch code demonstration.
atapour/chroma-keying
a set of simple excercises in colour filtering from a live video image (inc. invisibility cloaking)
atapour/code-demonstrations
Miscellaneous code demonstrations
atapour/Durham-Summer-School
Material for Introduction to Image Processing and Computer Vision