Mohamed R. Ibrahim

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Image Recognition

Public Transport

Top Venues

Comput. Environ. Urban Syst.

ISPRS Int. J. Geo Inf.

Publications

Mohamed R. Ibrahim, Terry Lyons
FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease. CoRR (2023)
Mohamed R. Ibrahim, Terry Lyons
ImageSig: A signature transform for ultra-lightweight image recognition. CoRR (2022)
Mohamed R. Ibrahim, Terry Lyons
ImageSig: A signature transform for ultra-lightweight image recognition. CVPR Workshops (2022)
Mohamed R. Ibrahim, James Haworth, Nicola Christie
Re-designing cities with conditional adversarial networks. CoRR (2021)
Nilufer Sari Aslam, Di Zhu, Tao Cheng, Mohamed R. Ibrahim, Yang Zhang
Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London. Ann. GIS 27 (1) (2021)
Nilufer Sari Aslam, Mohamed R. Ibrahim, Tao Cheng, Huanfa Chen, Yang Zhang
ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs. Geo spatial Inf. Sci. 24 (4) (2021)
Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning. CoRR (2021)
Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning. Comput. Environ. Urban Syst. 76 (2019)
Mohamed R. Ibrahim, James Haworth, Tao Cheng
WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning. ISPRS Int. J. Geo Inf. 8 (12) (2019)
Mohamed R. Ibrahim, James Haworth, Tao Cheng
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning. CoRR (2019)
Mohamed R. Ibrahim, Helena Titheridge, Tao Cheng, James Haworth
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning. CoRR (2018)
Mohamed R. Ibrahim, James Haworth, Tao Cheng
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision. CoRR (2018)