Mohamed R. Ibrahim

Orcid: 0000-0001-7733-7777

According to our database1, Mohamed R. Ibrahim authored at least 12 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Transforming CCTV cameras into N<sub>2</sub> sensors at city scale for adaptive policymaking.
CoRR, January, 2025

2024
TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning.
CoRR, 2024

Generating floorplans for various building functionalities via latent diffusion model.
CoRR, 2024

2023
FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease.
CoRR, 2023

2022
ImageSig: A signature transform for ultra-lightweight image recognition.
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.
Geo spatial Inf. Sci., 2021

Re-designing cities with conditional adversarial networks.
CoRR, 2021

CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning.
CoRR, 2021

Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London.
Ann. GIS, 2021

2019
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning.
Comput. Environ. Urban Syst., 2019

WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning.
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.
CoRR, 2018


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