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N. Sebe

88 papers hereh-index 10341.1k citations625 works total

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

author position
  • middle author40
  • last author46

Across the 86 of 88 papers where every author was matched, so the position is known.

fields
  • cs.CV78
  • cs.LG3
  • cs.NE2
  • stat.ML2
  • cs.CY1
  • cs.GR1
same name
  • N. Sebe — 141 papers, h 35
  • N. Sebe — 5 papers, h 4
  • N. Sebe — 4 papers, h 11
  • N. Sebe — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedLearning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

103 citations · 502 across the 43 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017

Depression Severity Estimation from Multiple Modalities

Evgeny Stepanov, Stephane Lathuiliere, Shammur Absar Chowdhury +4

Depression is a major debilitating disorder which can affect people from all ages. With a continuous increase in the number of annual cases of depression, there is a need to develo…

cs.CV2017

Abnormal Event Detection in Videos using Generative Adversarial Nets

Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto +3

In this paper we address the abnormality detection problem in crowded scenes. We propose to use Generative Adversarial Nets (GANs), which are trained using normal frames and corres…

cs.CV2017★ 82 cited

What your Facebook Profile Picture Reveals about your Personality

Cristina Segalin, Fabio Celli, Luca Polonio +5

People spend considerable effort managing the impressions they give others. Social psychologists have shown that people manage these impressions differently depending upon their pe…

cs.CV2017★ 3 cited

Viraliency: Pooling Local Virality

Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu +2

In our overly-connected world, the automatic recognition of virality - the quality of an image or video to be rapidly and widely spread in social networks - is of crucial importanc…

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