M. Everingham
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- Publications
- Influence
The Pascal Visual Object Classes (VOC) Challenge
- M. Everingham, L. Gool, C. K. Williams, J. Winn, Andrew Zisserman
- Computer Science
- International Journal of Computer Vision
- 1 June 2010
The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object category recognition and detection, providing the vision and machine learning communities with a standard dataset of… Expand
The Pascal Visual Object Classes Challenge: A Retrospective
- M. Everingham, S. Eslami, L. Gool, C. K. Williams, J. Winn, Andrew Zisserman
- Computer Science
- International Journal of Computer Vision
- 2014
The Pascal Visual Object Classes (VOC) challenge consists of two components: (i) a publicly available dataset of images together with ground truth annotation and standardised evaluation software; and… Expand
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
- Sam Johnson, M. Everingham
- Computer Science
- BMVC
- 2010
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and imaging conditions.… Expand
The PASCAL visual object classes challenge 2006 (VOC2006) results
- M. Everingham, Andrew Zisserman, C. K. Williams, L. Gool
- Computer Science
- 2006
This report presents the results of the 2006 PASCAL Visual Object Classes Challenge (VOC2006). Details of the challenge, data, and evaluation are presented. Participants in the challenge submitted… Expand
- 1,572
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Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video
- M. Everingham, Josef Sivic, Andrew Zisserman
- Computer Science
- BMVC
- 2006
We investigate the problem of automatically labelling appearances of characters in TV or film material. This is tremendously challenging due to the huge variation in imaged appearance of each… Expand
Learning effective human pose estimation from inaccurate annotation
- Sam Johnson, M. Everingham
- Computer Science
- CVPR
- 20 June 2011
The task of 2-D articulated human pose estimation in natural images is extremely challenging due to the high level of variation in human appearance. These variations arise from different clothing,… Expand
Taking the bite out of automated naming of characters in TV video
- M. Everingham, Josef Sivic, Andrew Zisserman
- Computer Science
- Image Vis. Comput.
- 1 April 2009
We investigate the problem of automatically labelling appearances of characters in TV or film material with their names. This is tremendously challenging due to the huge variation in imaged… Expand
The 2005 PASCAL Visual Object Classes Challenge
- M. Everingham, Andrew Zisserman, +31 authors J. Zhang
- Computer Science
- MLCW
- 11 April 2005
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not… Expand
The pascal visual object classes challenge 2006 results
- M. Everingham, Andrew Zisserman, C. K. Williams, L. Gool
- Computer Science
- eccv
- 2006
This invention discloses new compounds of the formula WHEREIN R1 is selected from the group consisting of hydrogen and alkyl; X is halogen; R2 is selected from the group consisting of alkyl, alkenyl… Expand
- 178
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Learning Models for Object Recognition from Natural Language Descriptions
- Josiah Wang, K. Markert, M. Everingham
- Computer Science
- BMVC
- 2009
We investigate the task of learning models for visual object recognition from natural language descriptions alone. The approach contributes to the recognition of fine-grain object categories, such as… Expand