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researcher

Nizar Massouh

2 papers hereh-index 117 citations2 works total

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

author position
  • sole author1
  • first author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedLearning Deep Visual Object Models From Noisy Web Data: How to Make it Work

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2018

Training Convolutional Networks with Web Images

Nizar Massouh

In this thesis we investigate the effect of using web images to build a large scale database to be used along a deep learning method for a classification task. We replicate the Ima…

cs.CV2017★ 9 cited

Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work

Nizar Massouh, Francesca Babiloni, Tatiana Tommasi +3

Deep networks thrive when trained on large scale data collections. This has given ImageNet a central role in the development of deep architectures for visual object classification.…

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