Everingham, Mark - Vision Group, School of Computing, University of Leeds

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Everingham, Mark - Vision Group, School of Computing, University of Leeds

"Who are you?" Learning person specific classifiers from video Josef Sivic1
Automated Visual Identification of Characters in Situation Comedies Mark Everingham and Andrew Zisserman
"Hello! My name is... Buffy" Automatic Naming of Characters in TV Video
Automated Person Identification in Video Mark Everingham and Andrew Zisserman
Regression and Classification Approaches to Eye Localization in Face Images
Taking the bite out of automated naming of characters in TV video Mark Everingham *,1
Implicit Color Segmentation Features for Pedestrian and Object Detection Patrick Ott and Mark Everingham
Shared Parts for Deformable Part-based Models Patrick Ott and Mark Everingham
JOHNSON, EVERINGHAM: CLUSTERED MODELS FOR HUMAN POSE ESTIMATION 1 Clustered Pose and Nonlinear Appearance
Employing signed TV broadcasts for automated learning of British Sign Language
Int J Comput Vis DOI 10.1007/s11263-009-0275-4
Combining Discriminative Appearance and Segmentation Cues for Articulated Human Pose Estimation
Wearable Mobility Aid for Low Vision Using Scene Classification in a Markov Random Field Model
Evaluating Image Segmentation Algorithms using the Pareto Front
Algorithm Evaluation by Probabilistic Fitness/Cost Analysis, and Application to Image Segmentation
Automatic Recognition of Fingerspelled Words in British Sign Language Stephan Liwicki and Mark Everingham
The 2005 PASCAL Visual Object Classes Mark Everingham1
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009 Learning sign language by watching TV (using weakly aligned subtitles)
Identifying Individuals in Video by Combining `Generative' and Discriminative Head Models
SUPERVISED SEGMENTATION AND TRACKING OF NONRIGID OBJECTS USING A "MIXTURE OF HISTOGRAMS" MODEL
Head-mounted mobility aid for low vision using scene classification techniques M R Everingham1
Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts
Automated Detection and Identification of Persons in Video
WANG et al.: LEARNING OBJECT RECOGNITION FROM DESCRIPTIONS 1 Learning Models for Object Recognition
Learning Effective Human Pose Estimation from Inaccurate Annotation Sam Johnson and Mark Everingham
Evaluating image segmentation algorithms using monotonic hulls in fitness/cost space
Person spotting: video shot retrieval for face sets Josef Sivic, Mark Everingham, and Andrew Zisserman
Int J Comput Vis DOI 10.1007/s11263-011-0480-9
Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect