Bill Triggs

发表

Editorial: Special Issue on Probabilistic Models for Image Understanding

Bill Triggs, Christopher K. I. Williams, 2010, International Journal of Computer Vision.

Book Review : Nonholonomic Motion Planning by Zexiang Li and J. F. Canny published by Kluwer Academic Publishers, 1993

Bill Triggs, 1993, Int. J. Robotics Res..

Panel session on computations and algorithms. Discussion

Daniel Cremers, Jean Ponce, Zhengyou Zhang, 2001 .

Large margin classifiers based on convex class models

Hakan Cevikalp, Bill Triggs, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Monocular Human Motion Capture with a Mixture of Regressors

Ankur Agarwal, Bill Triggs, B. Triggs, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

A progressive scheme for stereo matching. Discussion

Andrew Zisserman, Zhengyou Zhang, Bill Triggs, 2001 .

Bundle Adjustment - A Modern Synthesis

Andrew W. Fitzgibbon, Bill Triggs, Richard I. Hartley, 1999, Workshop on Vision Algorithms.

Estimating Articulated Human Motion with Covariance Scaled Sampling

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2003, Int. J. Robotics Res..

On the absolute quadratic complex and its application to autocalibration

Jean Ponce, Théodore Papadopoulo, Monique Teillaud, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Building Roadmaps of Minima and Transitions in Visual Models

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2004, International Journal of Computer Vision.

Camera pose and calibration from 4 or 5 known 3D points

Bill Triggs, B. Triggs, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Human Detection Using Oriented Histograms of Flow and Appearance

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2006, ECCV.

A calibrated 3D dataset for automatic evaluation of keypoint detectors and descriptors

Bill Triggs, Nick Kingsbury, Pashmina Bendale, 2010 .

Differential matching constraints

Bill Triggs, B. Triggs, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Visual Object Detection Using Cascades of Binary and One-Class Classifiers

Hakan Cevikalp, Bill Triggs, B. Triggs, 2017, International Journal of Computer Vision.

Workshop on Detection and Tracking in Challenging Environments (DTCE)

Bohyung Han, Jason J. Corso, Bill Triggs, 2013 .

Scene Segmentation with Low-Dimensional Semantic Representations and Conditional Random Fields

Gui-Song Xia, Dengxin Dai, Wen Yang, 2010 .

Special Issue on Probabilistic Models for Image Understanding, Part II

Bill Triggs, Christopher K. I. Williams, 2011, International Journal of Computer Vision.

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint

Hugues Benoit-Cattin, Bill Triggs, Michaël Sdika, 2019, Medical Image Anal..

Software - Histogram of oriented gradient object detection

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2006 .

Generalized voxel coloring. Commentary

Thomas Malzbender, Bill Triggs, Yvan G. Leclerc, 2000 .

Integrating Diverse Knowledge: New Ideas in Knowledge Processing

G. Honderd, K. Khodabandehloo, Bill Triggs, 1991 .

Optimal Estimation of Matching Constraints

Bill Triggs, 1998, SMILE.

Critical motions in euclidean structure from motion

Bill Triggs, Fredrik Kahl, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Proceedings of the International Workshop on Vision Algorithms: Theory and Practice

Richard Szeliski, Andrew Zisserman, Bill Triggs, 1999 .

New Results - Statistical modeling and machine learning for image analysis

Cordelia Schmid, Hakan Cevikalp, Matthieu Guillaumin, 2007 .

Autocalibration from Planar Scenes

Bill Triggs, B. Triggs, 1998, ECCV.

Software - Robust image correspondence and rapid recovery of specific objects and scene elements in image databases

Cordelia Schmid, Matthijs Douze, Roger Mohr, 2005 .

Polyhedral Conic Classifiers for Visual Object Detection and Classification

Hakan Cevikalp, Bill Triggs, B. Triggs, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Empirical filter estimation for subpixel interpolation and matching

Bill Triggs, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

Xiaoyang Tan, Bill Triggs, B. Triggs, 2007, IEEE Transactions on Image Processing.

The Tradeoff Between Generative and Discriminative Classifiers

Guillaume Bouchard, Bill Triggs, B. Triggs, 2004 .

Nearest hyperdisk methods for high-dimensional classification

Hakan Cevikalp, Robi Polikar, Bill Triggs, 2008, ICML '08.

Multilevel Image Coding with Hyperfeatures

Bill Triggs, Ankur Agarwal, B. Triggs, 2008, International Journal of Computer Vision.

Bootstrapping errors-in-variables models. Commentary

Peter Meer, Bill Triggs, Bogdan Matei, 2000 .

Scene Segmentation with CRFs Learned from Partially Labeled Images

Bill Triggs, Jakob J. Verbeek, B. Triggs, 2007, NIPS.

Fast Discriminative Visual Codebooks using Randomized Clustering Forests

Frédéric Jurie, Bill Triggs, Frank Moosmann, 2006, NIPS.

Face and landmark detection by using cascade of classifiers

Hakan Cevikalp, Bill Triggs, Vojtech Franc, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Face recognition based on image sets

Hakan Cevikalp, Bill Triggs, B. Triggs, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Software - Object recognition demonstrator

Cordelia Schmid, Roger Mohr, Bill Triggs, 2004 .

Learning and Recognition in Vision

Cordelia Schmid, Christophe Damerval, Joost van de Weijer, 2006 .

Learning to Parse Pictures of People

Cordelia Schmid, Rémi Ronfard, Bill Triggs, 2002, ECCV.

A Hierarchical Part-Based Model for Visual Object Categorization

Guillaume Bouchard, Bill Triggs, 2005, CVPR 2005.

The 2005 PASCAL Visual Object Classes Challenge

Cordelia Schmid, Jorma Laaksonen, Luc Van Gool, 2005, MLCW.

Manifold Based Local Classifiers: Linear and Nonlinear Approaches

Hakan Cevikalp, Frédéric Jurie, Bill Triggs, 2010, J. Signal Process. Syst..

A Unification of Autocalibration Methods

Long Quan, Bill Triggs, 2000 .

Software - Histogram of Oriented Gradient Object Detection Toolkit

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2005 .

Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing

Christian Laugier, Gianni Vercelli, Bill Triggs, 1995, Int. J. Robotics Res..

Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

Xiaoyang Tan, Bill Triggs, B. Triggs, 2007, AMFG.

Editorial: Selection of Marr Prize Papers at ICCV’03

Bill Triggs, 2005, International Journal of Computer Vision.

Kinematic jump processes for monocular 3D human tracking

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

New Results - Recognition

Cordelia Schmid, Fred Rothganger, Ankur Agarwal, 2004 .

Sampling Strategies for Bag-of-Features Image Classification

Frédéric Jurie, Bill Triggs, Eric Nowak, 2006, ECCV.

Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, September 21-22, 1999 : proceedings

Richard Szeliski, Andrew Zisserman, Bill Triggs, 2000 .

Semantic Labeling of SAR Images with Hierarchical

Gui-Song Xia, Dengxin Dai, Wen Yang, 2009 .

Managing a Large network of excellence: Case Study of the PASCAL Network

John Shawe-Taylor, Steve R. Gunn, Nicolò Cesa-Bianchi, 2007 .

Model-based sonar localisation for mobile robots

Bill Triggs, B. Triggs, 1994, Robotics Auton. Syst..

A sampling algorithm for tracking multiple objects. Commentary

Rakesh Kumar, Hai Tao, Bill Triggs, 2000 .

The Oxford Robot World Model

Stephen Cameron, Bill Triggs, 1991 .

Joint feature distributions for image correspondence

Bill Triggs, B. Triggs, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

New Results - Image descriptors and correspondence

Matti Pietikäinen, Cordelia Schmid, Christophe Damerval, 2006 .

Efficient object detection using cascades of nearest convex model classifiers

Hakan Cevikalp, Bill Triggs, B. Triggs, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Linear Projective Reconstruction from Matching Tensors

Bill Triggs, B. Triggs, 1996, BMVC.

New Results - Image description

Cordelia Schmid, Andrew Zisserman, Frédéric Jurie, 2004 .

Software - Human detection software

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2004 .

Margin-based discriminant dimensionality reduction for visual recognition

Hakan Cevikalp, Robi Polikar, Frédéric Jurie, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Panel Session on Computations and Algorithms

Jean Ponce, Zhengyou Zhang, Kenichi Kanatani, 2000, SMILE.

Learning to track 3D human motion from silhouettes

Ankur Agarwal, Bill Triggs, B. Triggs, 2004, ICML.

Building Roadmaps of Local Minima of Visual Models

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2002, ECCV.

Routines for Relative Pose of Two Calibrated Cameras from 5 Points

Bill Triggs, 2000 .

A Factorization Based Algorithm for Multi-Image Projective Structure and Motion

Peter F. Sturm, Bill Triggs, B. Triggs, 1996, ECCV.

Automatic camera placement for robot vision tasks

Christian Laugier, Bill Triggs, B. Triggs, 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

Fast mixing hyperdynamic sampling

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2006, Image Vis. Comput..

A Local Basis Representation for Estimating Human Pose from Cluttered Images

Ankur Agarwal, Bill Triggs, B. Triggs, 2006, ACCV.

Histograms of oriented gradients for human detection

Bill Triggs, Navneet Dalal, N. Dalal, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Epipolar Constraints for Multiscale Matching

Bill Triggs, Pashmina Bendale, B. Triggs, 2010, BMVC.

Autocalibration and the absolute quadric

Bill Triggs, B. Triggs, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Boundary conditions for Young-van Vliet recursive filtering

Bill Triggs, Michaël Sdika, 2006, IEEE Transactions on Signal Processing.

Eyes from eyes. Discussion

Luc Van Gool, Robert Pless, Yiannis Aloimonos, 2001 .

Some Results on Minimal Euclidean Reconstruction from Four Points

Long Quan, Bernard Mourrain, Bill Triggs, 2006, Journal of Mathematical Imaging and Vision.

Rendering with non-uniform approximate concentric mosaics. Discussion

Richard Szeliski, Paul Debevec, Heung-Yeung Shum, 2001 .

Feature Sets and Dimensionality Reduction for Visual Object Detection

Bill Triggs, Sibt ul Hussain, B. Triggs, 2010, BMVC.

Automatic Task Planning for Robot Vision

Bill Triggs, Christian Laugier, 1996 .

Monocular tracking of the human arm in 3D

Cristian Sminchisescu, Bill Triggs, B. Triggs, 1995, Proceedings of IEEE International Conference on Computer Vision.

Large margin classifiers based on affine hulls

Hakan Cevikalp, Hasan Serhan Yavuz, Bill Triggs, 2010, Neurocomputing.

Factorization methods for projective structure and motion

Bill Triggs, B. Triggs, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Multiscale Keypoint Analysis based on Complex Wavelets

Nick G. Kingsbury, Bill Triggs, Pashmina Bendale, 2010, BMVC.

Discussion for session on bundle adjustment

Kenichi Kanatani, Heung-Yeung Shum, Bill Triggs, 2000 .

Linear projective reconstruction from matching tensors

Bill Triggs, B. Triggs, 1997, Image Vis. Comput..

Region Classification with Markov Field Aspect Models

Bill Triggs, Jakob J. Verbeek, B. Triggs, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models

Gui-Song Xia, Dengxin Dai, Wen Yang, 2012, IEEE Transactions on Image Processing.

3D human pose from silhouettes by relevance vector regression

Ankur Agarwal, Bill Triggs, B. Triggs, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Hyperfeatures - Multilevel Local Coding for Visual Recognition

Ankur Agarwal, Bill Triggs, B. Triggs, 2006, ECCV.

Matching constraints and the joint image

Bill Triggs, B. Triggs, 1995, Proceedings of IEEE International Conference on Computer Vision.

Software - Visual Localization Demonstrator

Cordelia Schmid, Matthijs Douze, Bill Triggs, 2005 .

Tracking Articulated Motion Using a Mixture of Autoregressive Models

Ankur Agarwal, Bill Triggs, B. Triggs, 2004, ECCV.

Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes

Bill Triggs, B. Triggs, 2004, ECCV.

Hyperdisk based large margin classifier

Hakan Cevikalp, Bill Triggs, B. Triggs, 2013, Pattern Recognit..

Hierarchical part-based visual object categorization

Guillaume Bouchard, Bill Triggs, B. Triggs, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Hyperdynamics Importance Sampling

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2002, ECCV.

Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition

Xiaoyang Tan, Bill Triggs, B. Triggs, 2007, AMFG.

Visual Recognition Using Local Quantized Patterns

Bill Triggs, Sibt ul Hussain, B. Triggs, 2012, ECCV.

Vision Algorithms: Theory and Practice

Richard Szeliski, Andrew Zisserman, Bill Triggs, 2002, Lecture Notes in Computer Science.

Fast semantic scene segmentation with conditional random field

Gui-Song Xia, Dengxin Dai, Wen Yang, 2010, 2010 IEEE International Conference on Image Processing.

Recovering 3D human pose from monocular images

Ankur Agarwal, Bill Triggs, B. Triggs, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Creating efficient codebooks for visual recognition

Frédéric Jurie, Bill Triggs, B. Triggs, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary

Bill Triggs, Fredrik Kahl, Kalle Åström, 2004, Journal of Mathematical Imaging and Vision.

Plane+Parallax, Tensors and Factorization

Bill Triggs, B. Triggs, 2000, ECCV.

Face Recognition Based on Videos by Using Convex Hulls

Hakan Cevikalp, Hasan Serhan Yavuz, Bill Triggs, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Boundary Conditions for Young-van Vliet

Bill Triggs, 2006 .

Uncertainty modeling for optimal structure from motion. Commentary

Takeo Kanade, Richard Szeliski, Kenichi Kanatani, 2000 .

Uniqueness of Minimal Euclidean Reconstruction from 4 Points

Long Quan, Bernard Mourrain, Bill Triggs, 2001 .