B. Triggs

发表

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).

Scene Segmentation via Low-dimensional Semantic Representation and Conditional Random Field

B. Triggs, Wen Yang, Dengxin Dai, 2009 .

3D human pose from silhouettes by relevance vector regression

B. Triggs, A. Agarwal, 2004, CVPR 2004.

Creating efficient codebooks for visual recognition

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

The 2005 PASCAL Visual Object Classes Challenge

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

Learning to Parse Pictures of People

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

Sampling Strategies for Bag-of-Features Image Classification

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

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).

The Geometry of Projective Reconstruction I: Matching Constraints and the Joint Image

B. Triggs, 1995 .

Fast Discriminative Visual Codebooks using Randomized Clustering Forests

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

Tracking Articulated Motion with Piecewise Learned Dynamical Models

B. Triggs, A. Agarwal, 2004 .

Scene segmentation with Conditional Random Fields learned from partially labeled images

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

Region Classification with Markov Field Aspect Models

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

Bundle Adjustment - A Modern Synthesis

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

A New Approach to Geometric Fitting

B. Triggs, 1996 .

Software - Histogram of oriented gradient object detection

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2006 .

Feature Sets and Dimensionality Reduction for Visual Object Detection

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

Hyperfeatures - Multilevel Local Coding for Visual Recognition

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

The Tradeoff Between Generative and Discriminative Classifiers

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

Camera Pose Revisited -- New Linear Algorithms

B. Triggs, Long Quan, Marc-André Ameller, 2000 .

Differential matching constraints

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

Matching constraints and the joint image

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

A Fully Projective Error Model for Visual Reconstruction

B. Triggs, 1995 .

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.

Plane+Parallax, Tensors and Factorization

Bill Triggs, B. Triggs, 2000, ECCV.

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..

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

Xiaoyang Tan, Bill Triggs, B. Triggs, 2007, IEEE Transactions 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.

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..

Joint feature distributions for image correspondence

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

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

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

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.

Covariance scaled sampling for monocular 3D body tracking

Cristian Sminchisescu, Bill Triggs, B. Triggs, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking

B. Triggs, C. Sminchisescu, 2000 .

Learning to track 3D human motion from silhouettes

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

Face recognition based on image sets

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

Vision Algorithms: Theory and Practice

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

Autocalibration and the absolute quadric

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

Projective Geometry for Image Analysis

B. Triggs, R. Mohr, 1996 .

Building Roadmaps of Minima and Transitions in Visual Models

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

Multilevel Image Coding with Hyperfeatures

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

Linear Projective Reconstruction from Matching Tensors

Bill Triggs, B. Triggs, 1996, BMVC.

A progressive scheme for stereo matching. Discussion

Andrew Zisserman, Zhengyou Zhang, Bill Triggs, 2001 .

Learning and Recognition in Vision

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

Learning to Recover 3D Human Pose from Silhouettes

B. Triggs, A. Agarwal, 2004 .

Factorization methods for projective structure and motion

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

A Local Basis Representation for Estimating Human Pose from Cluttered Images

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

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

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

Some Results on Minimal Euclidean Reconstruction from Four Points

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

Fast mixing hyperdynamic sampling

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

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

Bill Triggs, B. Triggs, 2004, 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 .

Author ' s personal copy Large margin classifiers based on affine hulls

B. Triggs, Hakan Cevikalp, A. Barkana, 2010 .

Nearest hyperdisk methods for high-dimensional classification

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

SAR Image Labeling with Hierarchical Markov Aspect Models

B. Triggs, Wen Yang, Dengxin Dai, 2009 .

Semantic Labeling of SAR Images with Hierarchical Markov Aspect Models

B. Triggs, Wen Yang, Dengxin Dai, 2009 .

Learning Methods for Recovering 3D Human Pose from Monocular Images

B. Triggs, A. Agarwal, 2004 .

Some Notes on Factorization Methods for Projective Structure and Motion Bill Triggs

B. Triggs, 1998 .

Optimal Filters for Subpixel Interpolation and Matching

B. Triggs, 2007 .

Hyperdynamic Sampling Hyperdynamic Sampling

B. Triggs, C. Sminchisescu, 2011 .

New Results - Recognition

Cordelia Schmid, Fred Rothganger, Ankur Agarwal, 2004 .

New Results - Image description

Cordelia Schmid, Andrew Zisserman, Frédéric Jurie, 2004 .

Software - Human detection software

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2004 .

Software - Histogram of Oriented Gradient Object Detection Toolkit

Cordelia Schmid, Bill Triggs, Navneet Dalal, 2005 .

Software - Object recognition demonstrator

Cordelia Schmid, Roger Mohr, Bill Triggs, 2004 .

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

Cordelia Schmid, Matthijs Douze, Roger Mohr, 2005 .

New Results - Statistical modeling and machine learning for image analysis

Cordelia Schmid, Hakan Cevikalp, Matthieu Guillaumin, 2007 .

Software - Visual Localization Demonstrator

Cordelia Schmid, Matthijs Douze, Bill Triggs, 2005 .

New Results - Image descriptors and correspondence

Matti Pietikäinen, Cordelia Schmid, Christophe Damerval, 2006 .

A New Approach to Geometric Fitting Bill Triggs

B. Triggs, 1997 .

Panel session on computations and algorithms. Discussion

Daniel Cremers, Jean Ponce, Zhengyou Zhang, 2001 .

Region Classification with Markov Field Aspect Models

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

Pattern Analysis , Statistical Modelling and Computational Learning ( PASCAL ) ∗

J. Shawe-Taylor, B. Triggs, 2022 .

Workshop on Detection and Tracking in Challenging Environments (DTCE)

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

Estimating Articulated Human Motion with Covariance Scaled Sampling

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

Hyperdynamics Importance Sampling

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

Hyperdynamic Sampling 1

B. Triggs, C. Sminchisescu, 2022 .

Model-based sonar localisation for mobile robots

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

Sonar Localisation for Mobile Robots: A Model-Based Approach

S. Cameron, B. Triggs, B. Triggs, 1992, IEEE International Workshop on Emerging Technologies and Factory Automation,.

Scene Segmentation with CRFs Learned from Partially Labeled Images

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

Quantum Quasi-Monte Carlo Technique for Many-Body Perturbative Expansions.

B. Triggs, Marjan Maček, X. Waintal, 2020, Physical review letters.

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

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

Human Detection Using Oriented Histograms of Flow and Appearance

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

Hyperdisk based large margin classifier

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

Multiscale Keypoint Analysis based on Complex Wavelets

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

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.

Autocalibration from Planar Scenes

Bill Triggs, B. Triggs, 1998, ECCV.

Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing

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

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.

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).

Margin-based discriminant dimensionality reduction for visual recognition

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

Human Detection in Thermal Images Using Low-level Features

B. Triggs, S. Ito, K. Yokoi, 2015 .

Tracking Articulated Motion Using a Mixture of Autoregressive Models

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

Linear projective reconstruction from matching tensors

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

Visual Recognition Using Local Quantized Patterns

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

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

Building Roadmaps of Local Minima of Visual Models

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

Bundle Adjustment - A Modern Synthesis

A. Fitzgibbon, R. Hartley, B. Triggs, 1999, Workshop on Vision Algorithms.

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing

K. Bala, B. Triggs, S. Chandran, 2012 .

Automatic camera placement for robot vision tasks

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

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).

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

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

Semantic Labeling of SAR Images with Hierarchical

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

Histograms of oriented gradients for human detection

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

The Pascal Visual Object Classes Challenge 2006 ( VOC 2006 ) Results

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2006 .

Author Manuscript, Published in "ieee Conference on Computer Vision and Pattern Recognition, San Francisco : United States Face Recognition Based on Image Sets

B. Triggs, Hakan Cevikalp, 2022 .

Panel Session on Computations and Algorithms

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

A New Approach to Geometric Fitting Bill Triggs

B. Triggs, 1997 .

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

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

Fast semantic scene segmentation with conditional random field

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

Scene Segmentation via Low-dimensional Semantic Representation and Conditional Random Field

B. Triggs, Wen Yang, Dengxin Dai, 2009 .

Histograms of oriented gradients for human detection

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

The 2005 PASCAL Visual Object Classes Challenge

Christopher K. I. Williams, Jason D. R. Farquhar, Charles M. Bishop, 2005, MLCW.

Multilevel Image Coding with Hyperfeatures

B. Triggs, A. Agarwal, 2008, International Journal of 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.

Epipolar Constraints for Multiscale Matching

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

Hierarchical part-based visual object categorization

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

Motion Planning for Nonholonomic Vehicles: An Introduction

B. Triggs, 2010 .

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

Bill Triggs, Fredrik Kahl, Kalle Åström, 2000, Journal of Mathematical Imaging and Vision.

Boundary conditions for Young-van Vliet recursive filtering

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

Boundary Conditions for Young-van Vliet

Bill Triggs, B. Triggs, 2006 .