M
Mark Everingham
Researcher at University of Oxford
Publications - 15
Citations - 4355
Mark Everingham is an academic researcher from University of Oxford. The author has contributed to research in topics: Facial recognition system & Face detection. The author has an hindex of 13, co-authored 15 publications receiving 3985 citations.
Papers
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The PASCAL visual object classes challenge 2006 (VOC2006) results
TL;DR: This report presents the results of the 2006 PASCAL Visual Object Classes Challenge (VOC2006).
Proceedings ArticleDOI
"Hello! My name is... Buffy" - Automatic Naming of Characters in TV Video
TL;DR: It is demonstrated that high precision can be achieved by combining multiple sources of information, both visual and textual, by automatic generation of time stamped character annotation by aligning subtitles and transcripts.
Book ChapterDOI
The 2005 PASCAL visual object classes challenge
Mark Everingham,Andrew Zisserman,Christopher Williams,Luc Van Gool,Moray Allan,Christopher M. Bishop,Olivier Chapelle,Navneet Dalal,Thomas Deselaers,Gyuri Dorkó,Stefan Duffner,J Eichhorn,Jason Farquhar,Mario Fritz,Christophe Garcia,Tom Griffiths,Frédéric Jurie,Daniel Keysers,Markus Koskela,Jorma Laaksonen,Diane Larlus,Bastian Leibe,Hongying Meng,Hermann Ney,Bernt Schiele,Cordelia Schmid,Edgar Seemann,John Shawe-Taylor,Amos Storkey,Sandor Szedmak,Bill Triggs,Ilkay Ulusoy,Ville Viitaniemi,Jianguo Zhang +33 more
TL;DR: The PASCAL Visual Object Classes Challenge (PASCALVOC) as mentioned in this paper was held from February to March 2005 to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects).
Book ChapterDOI
Dataset issues in object recognition
Jean Ponce,Jean Ponce,Tamara L. Berg,Mark Everingham,David Forsyth,Martial Hebert,Svetlana Lazebnik,Marcin Marszalek,Cordelia Schmid,Bryan Russell,Antonio Torralba,Christopher Williams,Jianguo Zhang,Andrew Zisserman +13 more
TL;DR: Current datasets are lacking in several respects, and this paper discusses some of the lessons learned from existing efforts, as well as innovative ways to obtain very large and diverse annotated datasets.
Book ChapterDOI
Person spotting: video shot retrieval for face sets
TL;DR: Progress is described in harnessing multiple exemplars of each person in a form that can easily be associated automatically using straightforward visual tracking in order to retrieve humans automatically in videos, given a query face in a shot.