World Model · podcast knowledge graph

Learning Representations for Visual Search with Naila Murray - TWiML Talk #190

2018-10-12 · 42 min · episode 190 · 13 entities

Asserted relationships

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    Learning Representations for Visual Search with Naila Murray - TWiML Talk #190
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    evidence rules-v4
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    evidence rules-v4
    Feed category: Tech News
  • → hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

Entities found in this episode

concepts 5

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    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
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    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News

companys 4

  • mentioned TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
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    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Naila Murray person
    0.72
    evidence rules-v4
    Learning Representations for Visual Search with Naila Murray - TWiML Talk #190
  • mentioned Sam Charrington person
    0.70
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
In this episode of our Deep Learning Indaba series, we’re joined by Naila Murray, Senior Research Scientist and Group Lead in the computer vision group at Naver Labs Europe. Naila presented at the Indaba on computer vision. In this discussion, we explore her work on visual attention, including why visual attention is important and the trajectory of work in the field over time. We also discuss her paper  “Generalized Max Pooling,” and much more! For the complete show notes, visit twimlai.com/tal