PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Sunando Sengupta

Click here to see user's record.

Number of EPrints submitted by this user: 55

Human Focused Action Localization in Video
Alexander Klaser, Marcin Marszalek, Cordelia Schmid and Andrew Zisserman
In: International Workshop on Sign, Gesture, Activity, September 11 2010, Greece.

High Five: Recognising Human Interactions in TV Shows
A Patron-Perez, Marcin Marszalek, Andrew Zisserman and I Reid
In: BMVC 2010, 31 Aug - 3rd Sep 2010, Aberystwyth.

Descriptor Learning for Efficient Retrieval
James Philbin, M Isarad, J Sivic and Andrew Zisserman
In: European Conference on Computer Vision, 2010, 5-11 September 2010, Greece.

Generalized RBF Feature Maps for Efficient Detection
V Sreekanth, Andrea Vedaldi, Andrew Zisserman and C Jawahar
In: Proceedings of the British Machine Vision Conference (BMVC), 31 Aug - 3 September 2010, Aberystwyth.

Clustered pose and nonlinear appearance models for human pose estimation
S Johnson and Mark Everingham
In: BMVC 2010, 31 Aug - 3rd Sep 2010, Aberystwyth.

Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction
Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin and Philip Torr
In: BMVC 2010, 31Aug-3rd Sep 2010, Aberystwyth.

StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
Jonathan Warrell, Simon Prince and Philip Torr
In: BMVC 2010, 31 Aug - 3 Sep 2010, Aberystwyth.

Simultaneous Object Detection and Ranking with Weak Supervision
Matthew Blaschko, Andrea Vedaldi and Andrew Zisserman
In: NIPS 2010, 6 Dec - 9 Dec 2010, Vancouver.

Fusion Moves for Markov Random Field Optimization
Victor Lempitsky, Carsten Rother, Stefan Roth and Andrew Blake
IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 32, Number 8, pp. 1392-1405, 2010.

Learning To Count Objects in Images
Victor Lempitsky and Andrew Zisserman
In: NIPS 2010, 6 Dec - 9 Dec 2010, Vancouver.

Improved Moves for Truncated Convex Models
Pawan Kumar, Olga Veksler and Philip Torr
Journal of Machine Learning Research Volume 12, pp. 31-67, 2011.

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction
Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin and Philip Torr
International Journal of Computer Vision, BMVC special award issue, 2011 2010.

Inference Methods for CRFs with Co-occurrence Statistics
Lubor Ladicky, Chris Russell, Pushmeet Kohli and Philip Torr
International Journal of Computer Vision, ECCV special award issue, 2011 2011.

Branch and Bound Strategies for Non-maximal Suppression in Object Detection
Matthew Blaschko
In: EMMCVPR 2011, 25-27 July 2011, Saint Petersburg.

Proposal Generation for Object Detection using Cascaded Ranking SVMs
Ziming Zhang, Jonathan Warrell and Philip Torr
In: CVPR 2011, 21-23 June 2011, Colorado, USA.

Smooth Object Retrieval using a Bag of Boundaries
R Arandjelovi and Andrew Zisserman
In: ICCV 2011, 6-13 November 2011, Barcelona.

Tabula Rasa: Model Transfer for Object Category Detection
Yusuf Aytar and Andrew Zisserman
In: ICCV 2011, 6-13 November 2011, Barcelona.

BiCoS: A Bi-level Co-Segmentation Method for Image Classification
Y Chai, Victor Lempitsky and Andrew Zisserman
In: ICCV 2011, 6-13 November 2011, Barcelona.

The devil is in the details: an evaluation of recent feature encoding methods
Ken Chatfield, Victor Lempitsky, Andrea Vedaldi and Andrew Zisserman
In: BMVC 2011, 29 August - 2 September 2011, Dundee.

Learning to Count Cells: applications to lens-free imaging of large fields
G Flaccavento, Victor Lempitsky, I Pope, P.R. Barber, Andrew Zisserman, J.A. Noble and B Vojnovic
In: MIAAB 2011, September 2, 2011, Heidelberg.

Semi-supervised Kernel Canonical Correlation Analysis with Application to Human fMRI
Matthew Blaschko, Jacquelyn Shelton, Andreas Bartels, Christoph Lampert and Arthur Gretton
PRL 2011.

Hand detection using multiple proposals
Arpit Mittal, Andrew Zisserman and Philip Torr
In: BMVC 2011, 29 August - 2 September 2011, Dundee.

The Truth About Cats and Dogs
O Parkhi, Andrea Vedaldi, C.V. Jawahar and Andrew Zisserman
In: ICCV 2011, 6-13 November 2011, Barcelona.

A coarse-to-fine approach for fast deformable object detection
M Pedersoli, Andrea Vedaldi and Jordi Gonzalez
In: CVPR 2011, June 21-23, 2011, Colorado Springs.

Learning a Category Independent Object Detection Cascade
E Rahtu, J Kannala and Matthew Blaschko
In: ICCV 2011, 6-13 November 2011, Barcelona.

Harvesting Image Databases from the Web
Florian Schroff, Antonio Criminisi and Andrew Zisserman
IEEE PAMI Volume 33, Number 4, pp. 754-766, 2011.

Learning Equivariant Structured Output SVM Regressors
Andrea Vedaldi, Matthew Blaschko and Andrew Zisserman
In: ICCV 2011, 6-13 November 2011, Barcelona.

“Here’s looking at you, kid.” Detecting people looking at each other in videos
M. Marin-Jimenez, Andrew Zisserman and Vittorio Ferrari
In: BMVC 2011, 29 August - 2 September 2011, Dundee.

Linear Support Vector Machines
Lubor Ladicky and Philip Torr
In: ICML 2011, 28 June- 2 July 2011, Washington.

Struck: Structured Output Tracking with Kernels
Sam Hare, Amir Saffari and Philip Torr
In: ICCV 2011, 6-13 November 2011, Barcelona.

Locally Multiple-Instance Learning with Structured Bag Models
Jonathan Warrell and Philip Torr
In: EMMCVPR 2011, 25-27 July 2011, Saint Petersburg.

Human Instance Segmentation from Video using Detector-based Conditional Random Fields
Vibhav Vineet, Jonathan Warrell, Lubor Ladicky and Philip Torr
In: BMVC 2011, 29 August - 2 September 2011, Dundee.

The Light-Path Less Traveled
S Ramalingham, Sofien Bouaziz, Peter Sturm and Philip Torr
In: CVPR 2011, June 21-23, 2011, Colorado Springs.

Proposal Generation for Object Detection using Cascaded Ranking SVMs
Ziming Zhang, Jonathan Warrell and Philip Torr
In: CVPR 2011, June 21-23, 2011, Colorado Springs.

Humanising GrabCut: Learning to segment humans using the Kinect
Varun Gulshan, Victor Lempitsky and Andrew Zisserman
In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, ICCV 2011, 6-13 November 2011, Barcelona.

Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr and Amir Saffari
In: NIPS 2011, December 12-15, 2011, Granada, Spain.

A Pylon Model for Semantic Segmentation
Victor Lempitsky, Andrea Vedaldi and Andrew Zisserman
In: NIPS 2011, December 12-15, 2011, Granada, Spain.

Three things everyone should know to improve object retrieval
Relja Arandjelovi´c and Andrew Zisserman
In: CVPR 2012, 18-20 June 2012., Rhode Island.

Sparse Kernel Approximations for Efficient Classification and Detection
Andrea Vedaldi and Andrew Zisserman
In: CVPR 2012, 18-20 June 2012., Rhode Island.

Efficient Discriminative Learning of Parametric Nearest Neighbor Classifiers
Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel Crook and Philip Torr
In: CVPR 2012, 18-20 June 2012., Rhode Island.

A Tiered Move-making Algorithm for General Pairwise MRF’s
Vibhav Vineet, Jonathan Warrell and Philip Torr
In: CVPR 2012, 18-20 June 2012., Rhode Island.

Efficient Online Structured Output Learning for Keypoint-Based Object Tracking
Sam Hare, Amir Saffari and Philip Torr
In: CVPR 2012, 18-20 June 2012., Rhode Island.

Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
Grégory Rogez, Jonathan Rihan, Carlos Orrite-Uruñuela and Philip Torr
International Journal of Computer Vision Volume 99, Number 1, pp. 25-52, 2012. ISSN 0920-5691

Efficient Discriminative Learning of Parametric Nearest Neighbor Classifiers
Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel Crook and Philip Torr
In: CVPR 2012, 18-20 June 2012., Rhode Island.

Taxonomic Multi-class Prediction and Person Layout using Efficient Structured Ranking
Arpit Mittal, Matthew Blaschko, Andrew Zisserman and Philip Torr
In: ECCV 2012, 7-13 October 2012, Italy.

Latent SVMs for Human Detection with a Locally Affine Deformation Field
Lubor Ladicky, Philip Torr and Andrew Zisserman
In: BMVC 2012, 3-7 September 2012, Surrey.

Enhancing Exemplar SVMs using Part Level Transfer Regularization
Yusuf Aytar and Andrew Zisserman
In: BMVC 2012, 3-7 September 2012, Sussex.

Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference
Vibhav Vineet, Jonathan Warrell, Paul Sturgess and Philip Torr
In: BMVC 2012, 3-7 September 2012, Surrey, UK.

Learning discriminative space-time actions from weakly labelled videos
Michael Sapienza, Fabio Cuzzolin and Philip Torr
In: BMVC 2012, 3-7 September 2012, Surrey, UK.

Descriptor Learning Using Convex Optimisation
K Simonyan, Andrea Vedaldi and Andrew Zisserman
In: ECCV 2012, 7-13 October 2012, Italy.

Scalable Cascade Inference for Semantic Image Segmentation
Paul Sturgess, Lubor Ladicky, Nigel Crook and Philip Torr
In: BMVC 2012, 7-13 October 2012, Italy.

Filter-based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces
Vibhav Vineet, Jonathan Warrell and Philip Torr
In: ECCV 2012, 7-13 October 2012, Italy.

Learning to Detect Cells Using Non-overlapping Extremal Regions
Carlos Arteta, Victor Lempitsky, J. Alison Noble and Andrew Zisserman
In: MICCAI 2012, 1-5 October 2012, Nice, France.

2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
Marcin Eichner, Manuel Marin Jimenez, Andrew Zisserman and Vittorio Ferrari
International Journal of Computer Vision Volume 99, pp. 190-214, 2012.

Structured learning of human interactions in TV shows
Alonso Patron, Marcin Marszalek, Ian Reid and Andrew Zisserman
PAMI Volume 34, Number 12, pp. 2441-2453, 2012.