PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Karteek Alahari

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Number of EPrints submitted by this user: 44

Reduce, Reuse & Recycle: Efficiently Solving Multi-Label MRFs
Karteek Alahari, Pushmeet Kohli and Philip Torr
In: CVPR, Alaska, USA(2008).

Exact Inference in Multi-label CRFs with Higher Order Cliques
Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari and Philip Torr
In: CVPR, Alaska, USA(2008).

Learning sign language by watching TV (using weakly aligned subtitles)
Patrick Buehler, Mark Everingham and Andrew Zisserman
In: CVPR, 20-25 Jun 2009, Miami, USA.

Taking the bite out of automatic naming of characters in TV video
Mark Everingham, Josef Sivic and Andrew Zisserman
Image and Vision Computing Volume 27, Number 5, pp. 545-559, 2009.

``Who are you?'' -- Learning person specific classifiers from video
Josef Sivic, Mark Everingham and Andrew Zisserman
In: CVPR, 20-25 Jun 2009, Miami, USA.

Ambiguity Modeling in Latent Spaces
Carl Henrik Ek, Jon Rihan, Philip Torr, Gregory Rogez and Neil Lawrence
In: Joint Workshop on Machine Learning and Multimodal Interaction, 8-10 Sep 2008, Utrecht, The Netherlands.

Efficient Discriminative Learning of Parts-based Models
M. Pawan Kumar, Philip Torr and Andrew Zisserman
In: IEEE International Conference on Computer Vision (ICCV), 27 Sep - 4 Oct 2009, Kyoto, Japan.

Multiple Kernels for Object Detection
Andrea Vedaldi, Varun Gulshan, Manik Varma and Andrew Zisserman
In: IEEE International Conference on Computer Vision (ICCV), 27 Sep - 4 Oct 2009, Kyoto, Japan.

Associative Hierarchical CRFs for Object Class Image Segmentation
Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr
In: IEEE International Conference on Computer Vision (ICCV), 27 Sep - 4 Oct 2009, Kyoto, Japan.

Combining Appearance and Structure from Motion Features for Road Scene Understanding
Paul Sturgess, Karteek Alahari, Lubor Ladicky and Philip Torr
In: British Machine Vision Conference (BMVC), 7 - 10 Sep 2009, London, UK.

Robust Higher Order Potentials for Enforcing Label Consistency
Pushmeet Kohli, Lubor Ladicky and Philip Torr
International Journal of Computer Vision (IJCV) Volume 82, Number 3, pp. 302-324, 2009.

Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
Pushmeet Kohli, Jon Rihan, Matthieu Bray and Philip Torr
International Journal of Computer Vision (IJCV) Volume 79, Number 3, pp. 285-298, 2008.

P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions
Pushmeet Kohli, M. Pawan Kumar and Philip Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 31, Number 9, pp. 1645-1656, 2009. ISSN 0162-8828

Dynamic Graph Cuts for Efficient Inference in Markov Random Fields
Pushmeet Kohli and Philip Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 29, Number 12, pp. 2079-2088, 2007. ISSN 0162-8828

Structured output regression for detection with partial truncation
Andrea Vedaldi and Andrew Zisserman
In: Advances in Neural Information Processing Systems, December 7-10, 2009, Vancouver, Canada.

Object Localization with Global and Local Context Kernels
Matthew Blaschko and Christoph Lampert
In: British Machine Vision Conference (BMVC), 7 - 10 Sep 2009, London, UK.

Augmenting Feature-driven fMRI Analyses: Semi-supervised Learning and Resting State Activity
Matthew Blaschko, Jacquelyn Shelton and Andreas Bartels
In: British Machine Vision Conference (BMVC), December 7-10, 2009, London, UK.

Structured Prediction by Joint Kernel Support Estimation
Christoph Lampert and Matthew Blaschko
Machine Learning Volume 77, Number 2-3, pp. 249-269, 2009. ISSN 1573-0565

Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
Christoph Lampert, Matthew Blaschko and Thomas Hofmann
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 31, Number 12, pp. 2129-2142, 2009.

Unsupervised Object Discovery: A Comparison
Tinne Tuytelaars, Christoph Lampert, Matthew Blaschko and Wray Buntine
International Journal of Computer Vision (IJCV) 2009. ISSN 0920-5691 (Print) 1573-1405 (Online)

A Statistical Approach to Material Classification Using Image Patch Exemplars
Manik Varma and Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 31, Number 11, pp. 2032-2047, 2009. ISSN 0162-8828

Delving deeper into the whorl of flower segmentation
Maria-Elena Nilsback and Andrew Zisserman
Image and Vision Computing 2009.

Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs
Karteek Alahari, Pushmeet Kohli and Philip Torr
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 32, Number 10, pp. 1846-1857, 2010. ISSN 0162-8828

Global Stereo Reconstruction under Second-Order Smoothness Priors
Oliver Woodford, Philip Torr, Ian Reid and Andrew Fitzgibbon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 31, Number 12, pp. 2115-2128, 2009. ISSN 0162-8828

Randomized trees for human pose detection
Gregory Rogez, Jonathan Rihan, Srikumar Ramalingam, Carlos Orrite and Philip Torr
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 24 - 26 June 2008, Anchorage, Alaska, USA.

Efficiently Solving Convex Relaxations for MAP Estimation
M. Pawan Kumar and Philip Torr
In: International Conference on Machine Learning (ICML), 5-9 July 2008, Helsinki, Finland.

On Partial Optimality in Multi-label MRFs
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov and Philip Torr
In: International Conference on Machine Learning (ICML), 5-9 July 2008, Helsinki, Finland.

Measuring Uncertainty in Graph Cut Solutions
Pushmeet Kohli and Philip Torr
Computer Vision and Image Understanding (CVIU) Volume 112, Number 1, pp. 30-38, 2008. ISSN 1077-3142

Object Class Segmentation using Random Forests
Florian Schroff, Antonio Criminisi and Andrew Zisserman
In: British Machine Vision Conference (BMVC), 1-4 Sep 2008, Leeds, UK.

Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
Andreas Opelt, Axel Pinz and Andrew Zisserman
International Journal of Computer Vision (IJCV) Volume 80, Number 1, pp. 16-44, 2008. ISSN 0920-5691 (Print) 1573-1405 (Online)

Automated flower classification over a large number of classes
Maria-Elena Nilsback and Andrew Zisserman
In: Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 16-19 Dec 2008, Bhubaneswar, India.

Subtitle-free Movie to Script Alignment
Pramod Sankar K, C. V. Jawahar and Andrew Zisserman
In: British Machine Vision Conference (BMVC), 07-10 Sep 2009, London, UK.

On the Detection of Multiple Object Instances using Hough Transforms
Olga Barinova, Victor Lempitsky and Pushmeet Kohli
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA, USA.

Employing signed TV broadcasts for automated learning of British Sign Language
Patrick Buehler, Mark Everingham and Andrew Zisserman
In: Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies, 22-23 May 2010, Valletta, Malta.

The Pascal Visual Object Classes (VOC) Challenge
Mark Everingham, Luc Van Gool, Christopher Williams, John Winn and Andrew Zisserman
International Journal of Computer Vision (IJCV) Volume 88, Number 2, pp. 303-338, 2010. ISSN 0920-5691 (Print) 1573-1405 (Online)

Geodesic Star Convexity for Interactive Image Segmentation
Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake and Andrew Zisserman
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA, USA.

OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
M. Pawan Kumar, Philip Torr and Andrew Zisserman
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Volume 32, Number 3, pp. 530-545, 2010. ISSN 0162-8828

Efficient Additive Kernels via Explicit Feature Maps
Andrea Vedaldi and Andrew Zisserman
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA, USA.

Non-uniform Deblurring for Shaken Images
Oliver Whyte, Josef Sivic, Andrew Zisserman and Jean Ponce
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA, USA.

Discrete minimum ratio curves and surfaces
Fred Nicolls and Philip Torr
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA, USA.

Efficient Piecewise Learning for Conditional Random Fields
Karteek Alahari, Chris Russell and Philip Torr
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 13-18 June 2010, San Francisco, CA, USA.

What, Where & How Many? Combining Object Detectors and CRFs
Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell and Philip Torr
In: European Conference on Computer Vision (ECCV), 5-11 Sep 2010, Crete, Greece.

Graph Cut based Inference with Co-occurrence Statistics
Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr
In: European Conference on Computer Vision (ECCV), 5-11 Sep 2010, Crete, Greece.

Exact and Approximate Inference in Associative Hierarchical Random Fields using Graph-Cuts
Chris Russell, Lubor Ladicky, Pushmeet Kohli and Philip Torr
In: Conference on Uncertainty in Artificial Intelligence (UAI), 8-11 Jul 2010, Catalina Island, California, USA.