Marc A L Pollefeys


Ontology type: schema:Person     


Person Info

NAME

Marc A L

SURNAME

Pollefeys

Publications in SciGraph latest 50 shown

  • 2021-10-13 Plane Sweeping in COMPUTER VISION
  • 2021-09-21 A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation in MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2021
  • 2021-04-21 Towards markerless surgical tool and hand pose estimation in INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
  • 2020-12-03 Convolutional Occupancy Networks in COMPUTER VISION – ECCV 2020
  • 2020-11-13 Handcrafted Outlier Detection Revisited in COMPUTER VISION – ECCV 2020
  • 2020-11-03 Online Invariance Selection for Local Feature Descriptors in COMPUTER VISION – ECCV 2020
  • 2020-11-03 Privacy Preserving Structure-from-Motion in COMPUTER VISION – ECCV 2020
  • 2020-11-03 Multi-view Optimization of Local Feature Geometry in COMPUTER VISION – ECCV 2020
  • 2020-10-29 Calibration-Free Structure-from-Motion with Calibrated Radial Trifocal Tensors in COMPUTER VISION – ECCV 2020
  • 2020-10-10 Infrastructure-Based Multi-camera Calibration Using Radial Projections in COMPUTER VISION – ECCV 2020
  • 2020-09-29 Probabilistic 3D Surface Reconstruction from Sparse MRI Information in MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2020
  • 2019-10-25 Learning 3D Semantic Reconstruction on Octrees in PATTERN RECOGNITION
  • 2019-09-14 Slanted Stixels: A Way to Represent Steep Streets in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2019-02-14 KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting in PATTERN RECOGNITION
  • 2019-01-23 The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion in COMPUTER VISION – ECCV 2018 WORKSHOPS
  • 2018-11-23 Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors in SHAPE IN MEDICAL IMAGING
  • 2018-10-09 Semantic Match Consistency for Long-Term Visual Localization in COMPUTER VISION – ECCV 2018
  • 2018-10-06 Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching in COMPUTER VISION – ECCV 2018
  • 2018-10-06 VSO: Visual Semantic Odometry in COMPUTER VISION – ECCV 2018
  • 2018-10-06 Learning Priors for Semantic 3D Reconstruction in COMPUTER VISION – ECCV 2018
  • 2018-10-05 A Dataset of Flash and Ambient Illumination Pairs from the Crowd in COMPUTER VISION – ECCV 2018
  • 2018-03-15 An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation in STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. ACDC AND MMWHS CHALLENGES
  • 2017-11-03 Mapping on the Fly: Real-Time 3D Dense Reconstruction, Digital Surface Map and Incremental Orthomosaic Generation for Unmanned Aerial Vehicles in FIELD AND SERVICE ROBOTICS
  • 2017-05-19 Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection in IMAGE ANALYSIS
  • 2017-03-10 A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval in COMPUTER VISION – ACCV 2016
  • 2016-09-17 Pixelwise View Selection for Unstructured Multi-View Stereo in COMPUTER VISION – ECCV 2016
  • 2016-09-17 Semantic 3D Reconstruction of Heads in COMPUTER VISION – ECCV 2016
  • 2016-09-17 A Symmetry Prior for Convex Variational 3D Reconstruction in COMPUTER VISION – ECCV 2016
  • 2016-09-17 Indoor-Outdoor 3D Reconstruction Alignment in COMPUTER VISION – ECCV 2016
  • 2016-09-16 Minimal Solvers for Generalized Pose and Scale Estimation from Two Rays and One Point in COMPUTER VISION – ECCV 2016
  • 2016-08-27 Semantically Guided Depth Upsampling in PATTERN RECOGNITION
  • 2016-07-06 Image-Based Large-Scale Geo-localization in Mountainous Regions in LARGE-SCALE VISUAL GEO-LOCALIZATION
  • 2016-04-23 Minimal Solutions for Pose Estimation of a Multi-Camera System in ROBOTICS RESEARCH
  • 2016-03-18 Capturing Hands in Action Using Discriminative Salient Points and Physics Simulation in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2015-12-28 Guest Editorial: Large Scale Visual Media Geo-Localization in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2015-07-19 Self-calibration and visual SLAM with a multi-camera system on a micro aerial vehicle in AUTONOMOUS ROBOTS
  • 2015-06-12 Image Based Geo-localization in the Alps in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2015-04-17 Never Get Lost Again: Vision Based Navigation Using StreetView Images in COMPUTER VISION -- ACCV 2014
  • 2015-04-16 Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup in COMPUTER VISION -- ACCV 2014
  • 2014-05-27 Efficient Learning of Linear Predictors for Template Tracking in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2014 Plane Sweeping in COMPUTER VISION
  • 2014 Foreground Consistent Human Pose Estimation Using Branch and Bound in COMPUTER VISION – ECCV 2014
  • 2014 Discriminatively Trained Dense Surface Normal Estimation in COMPUTER VISION – ECCV 2014
  • 2014 Globally Optimal Inlier Set Maximization with Unknown Rotation and Focal Length in COMPUTER VISION – ECCV 2014
  • 2014 On Sampling Focal Length Values to Solve the Absolute Pose Problem in COMPUTER VISION – ECCV 2014
  • 2014 Multi-body Depth-Map Fusion with Non-intersection Constraints in COMPUTER VISION – ECCV 2014
  • 2013 Globally Optimal Consensus Set Maximization through Rotation Search in COMPUTER VISION – ACCV 2012
  • 2013 Unknown Radial Distortion Centers in Multiple View Geometry Problems in COMPUTER VISION – ACCV 2012
  • 2012-11-13 Multilinear Factorizations for Multi-Camera Rigid Structure from Motion Problems in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2012-02-23 PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision in AUTONOMOUS ROBOTS
  • 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": "http://www.grid.ac/institutes/grid.5801.c", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.410711.2", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.5596.f", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.10698.36", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.419815.0", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.510702.1", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.266859.6", 
            "type": "Organization"
          }
        ], 
        "familyName": "Pollefeys", 
        "givenName": "Marc A L", 
        "id": "sg:person.013372156770.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013372156770.67"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2021-11-01T19:32", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/person/person_738.jsonl", 
        "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.013372156770.67'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.013372156770.67'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.013372156770.67'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.013372156770.67'


     

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

    28 TRIPLES      10 PREDICATES      17 URIs      7 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:person.013372156770.67 schema:affiliation N20ff173f28144418a98aa954ce7ec8d8
    2 grid-institutes:grid.10698.36
    3 grid-institutes:grid.266859.6
    4 grid-institutes:grid.410711.2
    5 grid-institutes:grid.419815.0
    6 grid-institutes:grid.510702.1
    7 grid-institutes:grid.5596.f
    8 schema:familyName Pollefeys
    9 schema:givenName Marc A L
    10 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013372156770.67
    11 schema:sdDatePublished 2021-11-01T19:32
    12 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    13 schema:sdPublisher Nb08bf976bdde4062a5806f5f3e16fc98
    14 sgo:license sg:explorer/license/
    15 sgo:sdDataset persons
    16 rdf:type schema:Person
    17 N20ff173f28144418a98aa954ce7ec8d8 schema:affiliation grid-institutes:grid.5801.c
    18 sgo:isCurrent true
    19 rdf:type schema:OrganizationRole
    20 Nb08bf976bdde4062a5806f5f3e16fc98 schema:name Springer Nature - SN SciGraph project
    21 rdf:type schema:Organization
    22 grid-institutes:grid.10698.36 schema:Organization
    23 grid-institutes:grid.266859.6 schema:Organization
    24 grid-institutes:grid.410711.2 schema:Organization
    25 grid-institutes:grid.419815.0 schema:Organization
    26 grid-institutes:grid.510702.1 schema:Organization
    27 grid-institutes:grid.5596.f schema:Organization
    28 grid-institutes:grid.5801.c schema:Organization
     




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


    ...