# Amnon Shashua

Ontology type: schema:Person

NAME

Amnon

SURNAME

Shashua

### Publications in SciGraph latest 50 shown

• 2010 The Semi-explicit Shape Model for Multi-object Detection and Classification in COMPUTER VISION – ECCV 2010
• 2007-01-01 The Golem Group / UCLA Autonomous Ground Vehicle in the DARPA Grand Challenge in THE 2005 DARPA GRAND CHALLENGE
• 2006 Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization in COMPUTER VISION – ECCV 2006
• 2005-01-01 Dynamic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\mathcal{P}^n$$\end{document} to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$\mathcal{P}^n$$\end{document} Alignment in HANDBOOK OF GEOMETRIC COMPUTING
• 2004-02 Multiple View Geometry of General Algebraic Curves in INTERNATIONAL JOURNAL OF COMPUTER VISION
• 2004 Kernel Feature Selection with Side Data Using a Spectral Approach in COMPUTER VISION - ECCV 2004
• 2002-09 Guest Editorial in INTERNATIONAL JOURNAL OF COMPUTER VISION
• 2002-06 On Projection Matrices and their Applications in Computer Vision in INTERNATIONAL JOURNAL OF COMPUTER VISION
• 2002-04-29 Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces in COMPUTER VISION — ECCV 2002
• 2002-04-29 Revisiting Single-View Shape Tensors: Theory and Applications in COMPUTER VISION — ECCV 2002
• 2000 On the Structure and Properties of the Quadrifocal Tensor in COMPUTER VISION - ECCV 2000
• 2000 3D Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen from a Moving Camera in COMPUTER VISION - ECCV 2000
• 2000 On the Reprojection of 3D and 2D Scenes without Explicit Model Selection in COMPUTER VISION - ECCV 2000
• 2000 On Calibration and Reconstruction from Planar Curves in COMPUTER VISION - ECCV 2000
• 2000 Homography Tensors: On Algebraic Entities That Represent Three Views of Static or Moving Planar Points in COMPUTER VISION - ECCV 2000
• 1999-04 On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant in NEURAL PROCESSING LETTERS
• 1998-11-30 Tensor Embedding of the Fundamental Matrix in 3D STRUCTURE FROM MULTIPLE IMAGES OF LARGE-SCALE ENVIRONMENTS
• 1998 On degeneracy of linear reconstruction from three views: Linear line complex and applications in COMPUTER VISION — ECCV’98
• 1998 Threading Fundamental matrices in COMPUTER VISION — ECCV'98
• 1997-06 The Quadric Reference Surface: Theory and Applications in INTERNATIONAL JOURNAL OF COMPUTER VISION
• 1997-01 On Photometric Issues in 3D Visual Recognition from a Single 2D Image in INTERNATIONAL JOURNAL OF COMPUTER VISION
• 1997 Trilinear tensor: The fundamental construct of multiple-view geometry and its applications in ALGEBRAIC FRAMES FOR THE PERCEPTION-ACTION CYCLE
• 1996 Multiple-view geometry and photometry in RECENT DEVELOPMENTS IN COMPUTER VISION
• 1996 The rank 4 constraint in multiple (≥3) view geometry in COMPUTER VISION — ECCV '96
• 1996 Duality of multi-point and multi-frame geometry: Fundamental shape matrices and tensors in COMPUTER VISION — ECCV '96
• 1994 The quadric reference surface: Applications in registering views of complex 3D objects in COMPUTER VISION — ECCV '94
• 1994 Trilinearity in visual recognition by alignment in COMPUTER VISION — ECCV '94
• 1994 On geometric and algebraic aspects of 3D affine and projective structures from perspective 2D views in APPLICATIONS OF INVARIANCE IN COMPUTER VISION

### Identifiers

JSON-LD is the canonical representation for SciGraph data.

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

[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"affiliation": [
{
"affiliation": {
"id": "http://www.grid.ac/institutes/grid.9619.7",
"type": "Organization"
},
"isCurrent": true,
"type": "OrganizationRole"
},
{
"id": "http://www.grid.ac/institutes/grid.6451.6",
"type": "Organization"
},
{
"id": "http://www.grid.ac/institutes/grid.168010.e",
"type": "Organization"
},
{
"id": "http://www.grid.ac/institutes/grid.116068.8",
"type": "Organization"
}
],
"familyName": "Shashua",
"givenName": "Amnon",
"id": "sg:person.011111040313.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011111040313.12"
],
"sdDataset": "persons",
"sdDatePublished": "2022-11-24T21:37",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/person/person_829.jsonl",
"type": "Person"
}
]

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.011111040313.12'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.011111040313.12'

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.011111040313.12'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.011111040313.12'