About: Andrea Vedaldi

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

Ph.D. University of California, Los Angeles 2008

Attributes	Values
rdf:type	Item
description	forskare (sv) 연구원 (ko) 研究者 (ja) araştırmacı (tr) wetenschapper (nl) дослідник (uk) эрдэмтэн (mn) изилдөөчү (ky) 研究者 (zh) հետազոտող (hy) Ph.D. University of California, Los Angeles 2008 (en)
rdfs:label	Andrea Vedaldi (en) Andrea Vedaldi (es) Andrea Vedaldi (ga) Andrea Vedaldi (nl) Andrea Vedaldi (sl) Andrea Vedaldi (ast)
skos:prefLabel	Andrea Vedaldi (en) Andrea Vedaldi (es) Andrea Vedaldi (ga) Andrea Vedaldi (nl) Andrea Vedaldi (sl) Andrea Vedaldi (ast)
name	Andrea Vedaldi (en) Andrea Vedaldi (es) Andrea Vedaldi (ga) Andrea Vedaldi (nl) Andrea Vedaldi (sl) Andrea Vedaldi (ast)
Scopus author ID	wds:Q52161741-ECDDE126-C552-40E2-B70C-342A82D92204
Scopus author ID	14036614600
given name	wds:Q52161741-c5812e96-4755-ee3c-d505-2baf5db8aa7f
given name	Andrea
instance of	wds:Q52161741-A4194038-0DAD-43C0-BA5F-962416F78E92
instance of	Homo sapiens
doctoral advisor	wds:Q52161741-BD7B8806-BF01-44B6-BA69-A7B883478D22
doctoral student	wds:Q52161741-3c4601bc-43cc-ebf3-4428-e87d2995f502 wds:Q52161741-799C5F3E-1B45-4755-8FDE-FC843FF601BD
Google Knowledge Graph ID	wds:Q52161741-7ce06895-4f31-5f8e-910b-2ec62538cce5
MR Author ID	wds:Q52161741-42AB510E-BD92-46B0-B1FB-367D84596A82
Mathematics Genealogy Project ID	wds:Q52161741-345BDD70-A1AE-4A67-90F5-441CBCB058B7
Google Knowledge Graph ID	http://g.co/kg/g/11g0lgwbzl
doctoral advisor	Stefano Soatto
doctoral student	Mircea Cimpoi Max Jaderberg
Google Knowledge Graph ID	/g/11g0lgwbzl
MR Author ID	1143885
Mathematics Genealogy Project ID	128980
Google Scholar author ID	wds:Q52161741-5138ac38-4f40-ddab-e500-a919357a303a
Google Scholar author ID	bRT7t28AAAAJ
occupation	wds:Q52161741-A619AFF2-293A-4431-963B-A139A627F2C7
employer	wds:Q52161741-DB3E01A7-DCDC-41D3-A3C8-67642BCD863F
sex or gender	wds:Q52161741-c3f757d1-2f85-4198-9b6c-da05cba5726f
VIAF ID	wds:Q52161741-0DFB929C-967C-47B2-A6E9-CD93AB610AD4
GND ID	wds:Q52161741-a0165445-8950-43b4-aa90-609aefa5f0ea
DBLP author ID	wds:Q52161741-3A8B725C-8862-4D7D-ADC8-037CD2751668
IdRef ID	wds:Q52161741-742041A4-7802-4926-9CD4-08F999605BFD
educated at	wds:Q52161741-5b952a79-4465-625b-6cd7-06567f4443fe wds:Q52161741-E8089778-10AC-4C25-BF24-C1BBE15E2F4A wds:Q52161741-c39fb98e-41f0-7837-fc83-96ec1aa1a0f3
family name	wds:Q52161741-26045F78-E673-42D5-A69C-79BAE3B537CD
National Library of Israel J9U ID	wds:Q52161741-377FD470-BEA6-4A30-80C4-2C0D0A11DB00
official website	wds:Q52161741-950BBB91-B5BF-4EDA-AD0B-CC9487C2B9E4
VIAF ID	http://viaf.org/viaf/31146574836538150660
GND ID	https://d-nb.info/gnd/1202458920
DBLP author ID	https://dblp.org/pid/99/2825.rdf
IdRef ID	http://www.idref.fr/193079526/id
occupation	researcher
employer	University of Oxford
sex or gender	male
VIAF ID	31146574836538150660
GND ID	1202458920
DBLP author ID	99/2825
IdRef ID	193079526
educated at	University of California, Los Angeles University of Padua
family name	Vedaldi
National Library of Israel J9U ID	987012502890405171
official website	http://www.robots.ox.ac.uk/~vedaldi
ORCID iD	wds:Q52161741-C7BE6B2C-AD84-426F-84FC-60CD84C4FB52
ORCID iD	https://orcid.org/0000-0003-1374-2858
ORCID iD	0000-0003-1374-2858
ResearcherID	wds:Q52161741-749C0E60-825A-464B-98AD-53A1D74C9861
Publons author ID	wds:Q52161741-8398c9bb-d7c7-4833-919f-20b019329354
ResearcherID	B-9071-2015
Publons author ID	2435775
is owl:sameAs of	Andrea Vedaldi
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q52161741
is author of	Objects in Context Deep Filter Banks for Texture Recognition, Description, and Segmentation Efficient additive kernels via explicit feature maps Efficient additive kernels via explicit feature maps A Compact and Discriminative Face Track Descriptor Describing Textures in the Wild Fisher Vector Faces in the Wild Multiple kernels for object detection Understanding deep image representations by inverting them A coarse-to-fine approach for fast deformable object detection Deep Features for Text Spotting

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