Devi Parikh


Ontology type: schema:Person     


Person Info

NAME

Devi

SURNAME

Parikh

Publications in SciGraph latest 50 shown

  • 2019-04 Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2018-10-07 Visual Coreference Resolution in Visual Dialog Using Neural Module Networks in COMPUTER VISION – ECCV 2018
  • 2018-10-06 Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance in COMPUTER VISION – ECCV 2018
  • 2018-10-06 Graph R-CNN for Scene Graph Generation in COMPUTER VISION – ECCV 2018
  • 2017-05 VQA: Visual Question Answering in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2017 Introduction to Visual Attributes in VISUAL ATTRIBUTES
  • 2016 Deep Learning the City: Quantifying Urban Perception at a Global Scale in COMPUTER VISION – ECCV 2016
  • 2016 Leveraging Visual Question Answering for Image-Caption Ranking in COMPUTER VISION – ECCV 2016
  • 2015-11 WhittleSearch: Interactive Image Search with Relative Attribute Feedback in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2014 Towards Transparent Systems: Semantic Characterization of Failure Modes in COMPUTER VISION – ECCV 2014
  • 2014 Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations in COMPUTER VISION – ECCV 2014
  • 2014 Zero-Shot Learning via Visual Abstraction in COMPUTER VISION – ECCV 2014
  • 2012 Attributes for Classifier Feedback in COMPUTER VISION – ECCV 2012
  • 2011-07 Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2011 Interactive Co-segmentation of Objects in Image Collections in NONE
  • 2009-12 Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions in EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
  • 2008 Determining Patch Saliency Using Low-Level Context in COMPUTER VISION – ECCV 2008
  • 2007 Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER in COMPUTER VISION – ACCV 2007
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.213917.f", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.287491.1", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.262671.6", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.438526.e", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.147455.6", 
            "type": "Organization"
          }
        ], 
        "familyName": "Parikh", 
        "givenName": "Devi", 
        "id": "sg:person.01310632454.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310632454.16"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:16", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1076.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.01310632454.16'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01310632454.16'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01310632454.16'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01310632454.16'


     

    This table displays all metadata directly associated to this object as RDF triples.

    24 TRIPLES      10 PREDICATES      15 URIs      7 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:person.01310632454.16 schema:affiliation Nf9b4261677d44e98977a9717ccc9b024
    2 https://www.grid.ac/institutes/grid.147455.6
    3 https://www.grid.ac/institutes/grid.262671.6
    4 https://www.grid.ac/institutes/grid.287491.1
    5 https://www.grid.ac/institutes/grid.438526.e
    6 schema:familyName Parikh
    7 schema:givenName Devi
    8 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310632454.16
    9 schema:sdDatePublished 2019-03-07T13:16
    10 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    11 schema:sdPublisher N5ade1e80f9ac4e7888689f4080e365b6
    12 sgo:license sg:explorer/license/
    13 sgo:sdDataset persons
    14 rdf:type schema:Person
    15 N5ade1e80f9ac4e7888689f4080e365b6 schema:name Springer Nature - SN SciGraph project
    16 rdf:type schema:Organization
    17 Nf9b4261677d44e98977a9717ccc9b024 schema:affiliation https://www.grid.ac/institutes/grid.213917.f
    18 sgo:isCurrent true
    19 rdf:type schema:OrganizationRole
    20 https://www.grid.ac/institutes/grid.147455.6 schema:Organization
    21 https://www.grid.ac/institutes/grid.213917.f schema:Organization
    22 https://www.grid.ac/institutes/grid.262671.6 schema:Organization
    23 https://www.grid.ac/institutes/grid.287491.1 schema:Organization
    24 https://www.grid.ac/institutes/grid.438526.e schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...