PASCAL Researchers

A sparse object category model for efficient learning and complete recognition Robert Fergus, Pietro Perona and Andrew Zisserman Book Section (2006)

A boundary-fragment-model for object detection Andreas Opelt, A. Pinz and Andrew Zisserman Conference or Workshop Item (May 2006)

A comparison of affine region detectors K. Mikolajzyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, Luc Van Gool and Luc Van Gool Article Item not available online. (2005)

A sparse object category model for efficient learning and exhaustive recognition Robert Fergus, Pietro Perona and Andrew Zisserman Conference or Workshop Item (2005)

A Statistical Approach to Material Classification Using Image Patch Exemplars Manik Varma and Andrew Zisserman Article (November 2009)

A visual vocabulary for flower classification M-E. Nilsback and Andrew Zisserman Conference or Workshop Item (June 2006)

An exemplar model for learning object classes O. Chum and Andrew Zisserman Conference or Workshop Item (2007)

An invariant large margin nearest neighbour classifier Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (October 2007)

An object category specific MRF for segmentation Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Book Section (2006)

Automated flower classification over a large number of classes Maria-Elena Nilsback and Andrew Zisserman Conference or Workshop Item (December 2008)

Bayesian Image Super-Resolution, Continued Lyndsey Pickup, David Capel, Stephen Roberts and Andrew Zisserman Conference or Workshop Item (December 2006)

Dataset issues in object recognition Jean Ponce, T. Berg, Mark Everingham, D. Forsyth, Martial Hebert, S. Lazebnik, Marcin Marszalek, Cordelia Schmid, B. Russell, A. Torralba, Christopher Williams, Jianguo Zhang and Andrew Zisserman Book Section (2006)

Delving deeper into the whorl of flower segmentation Maria-Elena Nilsback and Andrew Zisserman Article (12 October 2009)

Discovering object categories in image collections Josef Sivic, Bryan Russell, Alexei Efros, Andrew Zisserman and William Freeman Conference or Workshop Item (October 2005)

Efficient Additive Kernels via Explicit Feature Maps Andrea Vedaldi and Andrew Zisserman Conference or Workshop Item (June 2010)

Efficient Discriminative Learning of Parts-based Models M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (September 2009)

Employing signed TV broadcasts for automated learning of British Sign Language Patrick Buehler, Mark Everingham and Andrew Zisserman Conference or Workshop Item (May 2010)

Extending Pictorial Structures for Object Recognition M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (September 2004)

Fusing shape and appearance information for object category detection Andreas Opelt, Axel Pinz and Andrew Zisserman Conference or Workshop Item (September 2006)

Generic Visual Categorization Using Weak Geometry Gabriela Csurka, Chris Dance, Florent Perronnin and Jutta Willamowski Book Section Item not available online. (2006)

Geodesic Star Convexity for Interactive Image Segmentation Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake and Andrew Zisserman Conference or Workshop Item (June 2010)

Geometric LDA: A Generative Model for Particular Object Discovery James Philbin, Josef Sivic and Andrew Zisserman Conference or Workshop Item (2008)

Harvesting image databases from the web Florian Schroff, A. Criminisi and Andrew Zisserman Conference or Workshop Item (October 2007)

Hello! My name is... Buffy -- automatic naming of characters in TV video Mark Everingham, Josef Sivic and Andrew Zisserman Conference or Workshop Item (September 2006)

Identifying individuals in video by combining generative and discriminative head models Mark Everingham and Andrew Zisserman Conference or Workshop Item (October 2005)

Image classification using random forests and ferns A. Bosch, Andrew Zisserman and X. Munoz Conference or Workshop Item (October 2007)

Incremental learning of object detectors using a visual shape alphabet A. Opelt, A. Pinz and Andrew Zisserman Conference or Workshop Item (June 2006)

Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection Andreas Opelt, Axel Pinz and Andrew Zisserman Article (October 2008)

Learning class-specific edges for object detection and segmentation Mukta Prasad, Andrew Zisserman, Andrew Fitzgibbon, Mudigonda Pawan Kumar and Philip Torr Conference or Workshop Item (December 2006)

Learning layered motion segmentations of video Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (2005)

Learning Layered Motion Segmentations of Video Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Article (2008)

Learning Layered Pictorial Structures from Video M. Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (December 2004)

Learning object categories from Google's image search Robert Fergus, Li Fei-Fei, Pietro Perona and Andrew Zisserman Conference or Workshop Item (October 2005)

Learning sign language by watching TV (using weakly aligned subtitles) Patrick Buehler, Mark Everingham and Andrew Zisserman Conference or Workshop Item (June 2009)

Learning visual attributes Vittorio Ferrari and Andrew Zisserman Conference or Workshop Item (2008)

Multiple Kernels for Object Detection Andrea Vedaldi, Varun Gulshan, Manik Varma and Andrew Zisserman Conference or Workshop Item (September 2009)

Non-uniform Deblurring for Shaken Images Oliver Whyte, Josef Sivic, Andrew Zisserman and Jean Ponce Conference or Workshop Item (June 2010)

Obj Cut Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item Item not available online. (June 2005)

OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues M. Pawan Kumar, Philip Torr and Andrew Zisserman Article (March 2010)

Object Class Segmentation using Random Forests Florian Schroff, Antonio Criminisi and Andrew Zisserman Conference or Workshop Item (September 2008)

Optimizing and Learning for Super-resolution Lyndsey Pickup, Stephen Roberts and Andrew Zisserman Conference or Workshop Item (September 2006)

Person spotting: video shot retrieval for face sets Josef Sivic, Mark Everingham and Andrew Zisserman Conference or Workshop Item (2005)

Regression and classification approaches to eye localization in face images Mark Everingham and Andrew Zisserman Conference or Workshop Item (April 2006)

Representing shape with a spatial pyramid kernel A. Bosch, Andrew Zisserman and X. Munoz Conference or Workshop Item (2007)

Sampling methods for unsupervised learning Robert Fergus, Andrew Zisserman and Pietro Perona Conference or Workshop Item (December 2004)

Scene Classification Using a Hybrid Generative/Discriminative Approach Anna Bosch, Andrew Zisserman and X. Munoz Article (2008)

Scene classification via pLSA A. Bosch, Andrew Zisserman and X. Munoz Conference or Workshop Item (May 2006)

Single-histogram class models for image segmentation Florian Schroff, Antonio Criminisi and Andrew Zisserman Conference or Workshop Item (December 2006)

Solving markov random fields using second order cone programming relaxations Mudigonda Pawan Kumar, Philip Torr and Andrew Zisserman Conference or Workshop Item (June 2006)

Structured output regression for detection with partial truncation Andrea Vedaldi and Andrew Zisserman Conference or Workshop Item (2009)

Subtitle-free Movie to Script Alignment Pramod Sankar K, C. V. Jawahar and Andrew Zisserman Conference or Workshop Item (September 2009)

Taking the bite out of automatic naming of characters in TV video Mark Everingham, Josef Sivic and Andrew Zisserman Article (April 2009)

The 2005 PASCAL Visual Object Classes Challenge Mark Everingham, Andrew Zisserman, Christopher Williams, Luc Van Gool, Moray Allan, Chris Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyorgy Dorko, Stefan Duffner, Jan Eichhorn, Jason Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic 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, William Triggs, Ilkay Ulusoy, Ville Viitaniemi and Jianguo Zhang Book Section (2006)

The PASCAL Visual Object Classes (VOC) challenge Mark Everingham, Luc Van Gool, Christopher Williams, John Winn and Andrew Zisserman Article (September 2009)

The Pascal Visual Object Classes (VOC) Challenge Mark Everingham, Luc Van Gool, Christopher Williams, John Winn and Andrew Zisserman Article (June 2010)

The PASCAL Visual Object Classes Challenge 2006 (VOC 2006) Results Mark Everingham, Andrew Zisserman, Christopher Williams and Luc Van Gool Other (11 September 2006)

Trainable visual models for object class recognition Andrew Zisserman Conference or Workshop Item (May 2004)

Unsupervised Discovery of Visual Object Class Hierarchies Josef Sivic, B. Russell, Andrew Zisserman, W. T. Freeman and A. A. Efros Conference or Workshop Item (2008)

Using multiple segmentations to discover objects and their extent in image collections B. Russell, A. Efros, Josef Sivic, W. Freeman and Andrew Zisserman Conference or Workshop Item (June 2006)

``Who are you?'' -- Learning person specific classifiers from video Josef Sivic, Mark Everingham and Andrew Zisserman Conference or Workshop Item (June 2009)

PASCAL Network