Mohamed R. Ibrahim

According to our database, Mohamed R. Ibrahim authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease.

Mohamed R. Ibrahim, Terry J. Lyons

CoRR, 2023

2022

ImageSig: A signature transform for ultra-lightweight image recognition.

Mohamed R. Ibrahim, Terry J. Lyons

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs.

Nilufer Sari Aslam, Mohamed R. Ibrahim, Tao Cheng, Huanfa Chen, Yang Zhang

Geo spatial Inf. Sci., 2021

Re-designing cities with conditional adversarial networks.

Mohamed R. Ibrahim, James Haworth, Nicola Christie

CoRR, 2021

CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning.

Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng

CoRR, 2021

Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London.

Nilufer Sari Aslam, Di Zhu, Tao Cheng, Mohamed R. Ibrahim, Yang Zhang

Ann. GIS, 2021

2019

predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning.

Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth

Comput. Environ. Urban Syst., 2019

WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning.

Mohamed R. Ibrahim, James Haworth, Tao Cheng

ISPRS Int. J. Geo Inf., 2019

2018

URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision.

Mohamed R. Ibrahim, James Haworth, Tao Cheng

CoRR, 2018