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Mohamed Nafzi

3 papers hereh-index 18 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedVehicle Shape and Color Classification Using Convolutional Neural Network

6 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020

Methods of the Vehicle Re-identification

Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers

Most of researchers use the vehicle re-identification based on classification. This always requires an update with the new vehicle models in the market. In this paper, two types of…

cs.CV2020★ 1 cited

Data Augmentation and Clustering for Vehicle Make/Model Classification

Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers

Vehicle shape information is very important in Intelligent Traffic Systems (ITS). In this paper we present a way to exploit a training data set of vehicles released in different ye…

cs.CV2019★ 6 cited

Vehicle Shape and Color Classification Using Convolutional Neural Network

Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers

This paper presents a module of vehicle reidentification based on make/model and color classification. It could be used by the Automated Vehicular Surveillance (AVS) or by the fast…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.