Book Review: Nonholonomic Motion Planning by Zexiang Li and J. F. Canny published by Kluwer Academic Publishers, 1993. - Bill Triggs (Int. J. Robotics Res., 1993)

Model-based sonar localisation for mobile robots. - Bill Triggs (Robotics Auton. Syst., 1994)

Matching Constraints and the Joint Image. - Bill Triggs (ICCV, 1995)

Automatic Camera Placement for Robot Vision Tasks. - Bill Triggs; Christian Laugier (ICRA, 1995)

Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing. - Christian Bard; Christian Laugier; Christine Milesi-Bellier; Jocelyne Troccaz; Bill Triggs; Gianni Viardo Vercelli (Int. J. Robotics Res., 1995)

Factorization Methods for Projective Structure and Motion. - Bill Triggs (CVPR, 1996)

A Factorization Based Algorithm for Multi-Image Projective Structure and Motion. - Peter F. Sturm; Bill Triggs (ECCV (2), 1996)

Autocalibration and the absolute quadric. - Bill Triggs (CVPR, 1997)

Linear projective reconstruction from matching tensors. - Bill Triggs (Image Vis. Comput., 1997)

Autocalibration from Planar Scenes. - Bill Triggs (ECCV (1), 1998)

Optimal Estimation of Matching Constraints. - Bill Triggs (SMILE, 1998)

Critical Motions in Euclidean Structure from Motion. - Fredrik Kahl; Bill Triggs (CVPR, 1999)

Camera Pose and Calibration from 4 or 5 Known 3D Points. - Bill Triggs (ICCV, 1999)

Differential Matching Constraints. - Bill Triggs (ICCV, 1999)

Bundle Adjustment - A Modern Synthesis. - Bill Triggs; Philip F. McLauchlan; Richard I. Hartley; Andrew W. Fitzgibbon (Workshop on Vision Algorithms, 1999)

Plane+Parallax, Tensors and Factorization. - Bill Triggs (ECCV (1), 2000)

Panel Session on Computations and Algorithms. - Bill Triggs; David Nistér; Ken-ichi Kanatani; Jean Ponce; Zhengyou Zhang (SMILE, 2000)

Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary. - Fredrik Kahl; Bill Triggs; Kalle Åström (J. Math. Imaging Vis., 2000)

Covariance Scaled Sampling for Monocular 3D Body Tracking. - Cristian Sminchisescu; Bill Triggs (CVPR (1), 2001)

Joint Feature Distributions for Image Correspondence. - Bill Triggs (ICCV, 2001)

Empirical Filter Estimation for Subpixel Interpolation and Matching. - Bill Triggs (ICCV, 2001)

Learning to Parse Pictures of People. - Rémi Ronfard; Cordelia Schmid; Bill Triggs (ECCV (4), 2002)

Building Roadmaps of Local Minima of Visual Models. - Cristian Sminchisescu; Bill Triggs (ECCV (1), 2002)

Hyperdynamics Importance Sampling. - Cristian Sminchisescu; Bill Triggs (ECCV (1), 2002)

Kinematic Jump Processes For Monocular 3D Human Tracking. - Cristian Sminchisescu; Bill Triggs (CVPR (1), 2003)

Estimating Articulated Human Motion With Covariance Scaled Sampling. - Cristian Sminchisescu; Bill Triggs (Int. J. Robotics Res., 2003)

3D Human Pose from Silhouettes by Relevance Vector Regression. - Ankur Agarwal; Bill Triggs (CVPR (2), 2004)

Tracking Articulated Motion Using a Mixture of Autoregressive Models. - Ankur Agarwal; Bill Triggs (ECCV (3), 2004)

Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes. - Bill Triggs (ECCV (4), 2004)

Learning to track 3D human motion from silhouettes. - Ankur Agarwal; Bill Triggs (ICML, 2004)

Monocular Human Motion Capture with a Mixture of Regressors. - Ankur Agarwal; Bill Triggs (CVPR Workshops, 2005)

Hierarchical Part-Based Visual Object Categorization. - Guillaume Bouchard; Bill Triggs (CVPR (1), 2005)

Histograms of Oriented Gradients for Human Detection. - Navneet Dalal; Bill Triggs (CVPR (1), 2005)

On the Absolute Quadratic Complex and Its Application to Autocalibration. - Jean Ponce; Kenton McHenry; Théodore Papadopoulo; Monique Teillaud; Bill Triggs (CVPR (1), 2005)

Creating Efficient Codebooks for Visual Recognition. - Frédéric Jurie; Bill Triggs (ICCV, 2005)

The 2005 PASCAL Visual Object Classes Challenge. - Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dorkó; Stefan Duffner; Jan Eichhorn; et al. (MLCW, 2005)

Building Roadmaps of Minima and Transitions in Visual Models. - Cristian Sminchisescu; Bill Triggs (Int. J. Comput. Vis., 2005)

Editorial: Selection of Marr Prize Papers at ICCV'03. - Bill Triggs (Int. J. Comput. Vis., 2005)

A Local Basis Representation for Estimating Human Pose from Cluttered Images. - Ankur Agarwal; Bill Triggs (ACCV (1), 2006)

Hyperfeatures - Multilevel Local Coding for Visual Recognition. - Ankur Agarwal; Bill Triggs (ECCV (1), 2006)

Human Detection Using Oriented Histograms of Flow and Appearance. - Navneet Dalal; Bill Triggs; Cordelia Schmid (ECCV (2), 2006)

Sampling Strategies for Bag-of-Features Image Classification. - Eric Nowak; Frédéric Jurie; Bill Triggs (ECCV (4), 2006)

Fast Discriminative Visual Codebooks using Randomized Clustering Forests. - Frank Moosmann; Bill Triggs; Frédéric Jurie (NIPS, 2006)

Fast mixing hyperdynamic sampling. - Cristian Sminchisescu; Bill Triggs (Image Vis. Comput., 2006)

Some Results on Minimal Euclidean Reconstruction from Four Points. - Long Quan; Bill Triggs; Bernard Mourrain (J. Math. Imaging Vis., 2006)

Recovering 3D Human Pose from Monocular Images. - Ankur Agarwal; Bill Triggs (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Boundary conditions for Young-van Vliet recursive filtering. - Bill Triggs; Michaël Sdika (IEEE Trans. Signal Process., 2006)

Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition. - Xiaoyang Tan; Bill Triggs (AMFG, 2007)

Region Classification with Markov Field Aspect Models. - Jakob Verbeek; Bill Triggs (CVPR, 2007)

Scene Segmentation with CRFs Learned from Partially Labeled Images. - Jakob Verbeek; Bill Triggs (NIPS, 2007)

Margin-based discriminant dimensionality reduction for visual recognition. - Hakan Cevikalp; Bill Triggs; Frédéric Jurie; Robi Polikar (CVPR, 2008)

Nearest hyperdisk methods for high-dimensional classification. - Hakan Cevikalp; Bill Triggs; Robi Polikar (ICML, 2008)

Multilevel Image Coding with Hyperfeatures. - Ankur Agarwal; Bill Triggs (Int. J. Comput. Vis., 2008)

Large margin classifiers based on convex class models. - Hakan Cevikalp; Bill Triggs (ICCV Workshops, 2009)

Multiscale Keypoint Analysis based on Complex Wavelets. - Pashmina Bendale; Bill Triggs; Nick G. Kingsbury (BMVC, 2010)

Feature Sets and Dimensionality Reduction for Visual Object Detection. - Sibt ul Hussain; Bill Triggs (BMVC, 2010)

Epipolar Constraints for Multiscale Matching. - Bill Triggs; Pashmina Bendale (BMVC, 2010)

Face recognition based on image sets. - Hakan Cevikalp; Bill Triggs (CVPR, 2010)

Fast semantic scene segmentation with conditional random field. - Wen Yang 001; Dengxin Dai; Bill Triggs; Gui-Song Xia; Chu He (ICIP, 2010)

Editorial: Special Issue on Probabilistic Models for Image Understanding. - Bill Triggs; Christopher K. I. Williams (Int. J. Comput. Vis., 2010)

Large margin classifiers based on affine hulls. - Hakan Cevikalp; Bill Triggs; Hasan Serhan Yavuz; Yalçin Küçük; Mahide Küçük; Atalay Barkana (Neurocomputing, 2010)

Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. - Xiaoyang Tan; Bill Triggs (IEEE Trans. Image Process., 2010)

Manifold Based Local Classifiers: Linear and Nonlinear Approaches. - Hakan Cevikalp; Diane Larlus; Marian Neamtu; Bill Triggs; Frédéric Jurie (J. Signal Process. Syst., 2010)

Special Issue on Probabilistic Models for Image Understanding, Part II. - Bill Triggs; Christopher K. I. Williams (Int. J. Comput. Vis., 2011)

Efficient object detection using cascades of nearest convex model classifiers. - Hakan Cevikalp; Bill Triggs (CVPR, 2012)

Visual Recognition Using Local Quantized Patterns. - Sibt ul Hussain; Bill Triggs (ECCV (2), 2012)

SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models. - Wen Yang 001; Dengxin Dai; Bill Triggs; Gui-Song Xia (IEEE Trans. Image Process., 2012)

Face and landmark detection by using cascade of classifiers. - Hakan Cevikalp; Bill Triggs; Vojtech Franc (FG, 2013)

Hyperdisk based large margin classifier. - Hakan Cevikalp; Bill Triggs (Pattern Recognit., 2013)

Polyhedral Conic Classifiers for Visual Object Detection and Classification. - Hakan Cevikalp; Bill Triggs (CVPR, 2017)

Visual Object Detection Using Cascades of Binary and One-Class Classifiers. - Hakan Cevikalp; Bill Triggs (Int. J. Comput. Vis., 2017)

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint. - Pierre-Antoine Ganaye; Michaël Sdika; Bill Triggs; Hugues Benoit-Cattin (Medical Image Anal., 2019)

Face Recognition Based on Videos by Using Convex Hulls. - Hakan Cevikalp; Hasan Serhan Yavuz; Bill Triggs (IEEE Trans. Circuits Syst. Video Technol., 2020)