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2020 – today
- 2020
[j23]Hakan Cevikalp
, Hasan Serhan Yavuz, Bill Triggs:
Face Recognition Based on Videos by Using Convex Hulls. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4481-4495 (2020)
2010 – 2019
- 2019
- [j22]Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin:
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint. Medical Image Anal. 58 (2019) - 2017
- [j21]Hakan Cevikalp, Bill Triggs:
Visual Object Detection Using Cascades of Binary and One-Class Classifiers. Int. J. Comput. Vis. 123(3): 334-349 (2017) - [c52]Hakan Cevikalp, Bill Triggs:
Polyhedral Conic Classifiers for Visual Object Detection and Classification. CVPR 2017: 4114-4122 - 2013
- [j20]Hakan Cevikalp, Bill Triggs:
Hyperdisk based large margin classifier. Pattern Recognit. 46(6): 1523-1531 (2013) - [c51]Hakan Cevikalp, Bill Triggs, Vojtech Franc:
Face and landmark detection by using cascade of classifiers. FG 2013: 1-7 - 2012
- [j19]Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia:
SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models. IEEE Trans. Image Process. 21(9): 4232-4243 (2012) - [c50]Hakan Cevikalp, Bill Triggs:
Efficient object detection using cascades of nearest convex model classifiers. CVPR 2012: 3138-3145 - [c49]Sibt ul Hussain, Bill Triggs:
Visual Recognition Using Local Quantized Patterns. ECCV (2) 2012: 716-729 - [e2]Bill Triggs, Kavita Bala, Sharat Chandran:
The Eighth Indian Conference on Vision, Graphics and Image Processing, ICVGIP '12, Mumbai, India, December 16-19, 2012. ACM 2012, ISBN 978-1-4503-1660-6 [contents] - 2011
- [j18]Bill Triggs, Christopher K. I. Williams:
Special Issue on Probabilistic Models for Image Understanding, Part II. Int. J. Comput. Vis. 95(3): 313-314 (2011) - 2010
- [j17]Bill Triggs, Christopher K. I. Williams:
Editorial: Special Issue on Probabilistic Models for Image Understanding. Int. J. Comput. Vis. 88(2): 145-146 (2010) - [j16]Hakan Cevikalp, Bill Triggs, Hasan Serhan Yavuz, Yalçin Küçük, Mahide Küçük, Atalay Barkana:
Large margin classifiers based on affine hulls. Neurocomputing 73(16-18): 3160-3168 (2010) - [j15]Xiaoyang Tan, Bill Triggs:
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. IEEE Trans. Image Process. 19(6): 1635-1650 (2010) - [j14]Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill Triggs, Frédéric Jurie:
Manifold Based Local Classifiers: Linear and Nonlinear Approaches. J. Signal Process. Syst. 61(1): 61-73 (2010) - [c48]Pashmina Bendale, Bill Triggs, Nick G. Kingsbury:
Multiscale Keypoint Analysis based on Complex Wavelets. BMVC 2010: 1-10 - [c47]Sibt ul Hussain, Bill Triggs:
Feature Sets and Dimensionality Reduction for Visual Object Detection. BMVC 2010: 1-10 - [c46]Bill Triggs, Pashmina Bendale:
Epipolar Constraints for Multiscale Matching. BMVC 2010: 1-10 - [c45]Hakan Cevikalp, Bill Triggs:
Face recognition based on image sets. CVPR 2010: 2567-2573 - [c44]Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, Chu He:
Fast semantic scene segmentation with conditional random field. ICIP 2010: 229-232
2000 – 2009
- 2009
- [c43]Hakan Cevikalp, Bill Triggs:
Large margin classifiers based on convex class models. ICCV Workshops 2009: 101-108 - 2008
- [j13]Ankur Agarwal, Bill Triggs:
Multilevel Image Coding with Hyperfeatures. Int. J. Comput. Vis. 78(1): 15-27 (2008) - [c42]Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar:
Margin-based discriminant dimensionality reduction for visual recognition. CVPR 2008 - [c41]Hakan Cevikalp, Bill Triggs, Robi Polikar:
Nearest hyperdisk methods for high-dimensional classification. ICML 2008: 120-127 - 2007
- [c40]Xiaoyang Tan, Bill Triggs:
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. AMFG 2007: 168-182 - [c39]Xiaoyang Tan, Bill Triggs:
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition. AMFG 2007: 235-249 - [c38]Jakob Verbeek, Bill Triggs:
Region Classification with Markov Field Aspect Models. CVPR 2007 - [c37]Jakob Verbeek, Bill Triggs:
Scene Segmentation with CRFs Learned from Partially Labeled Images. NIPS 2007: 1553-1560 - 2006
- [j12]Cristian Sminchisescu, Bill Triggs:
Fast mixing hyperdynamic sampling. Image Vis. Comput. 24(3): 279-289 (2006) - [j11]Long Quan, Bill Triggs, Bernard Mourrain:
Some Results on Minimal Euclidean Reconstruction from Four Points. J. Math. Imaging Vis. 24(3): 341-348 (2006) - [j10]Ankur Agarwal, Bill Triggs:
Recovering 3D Human Pose from Monocular Images. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 44-58 (2006) - [j9]Bill Triggs, Michaël Sdika:
Boundary conditions for Young-van Vliet recursive filtering. IEEE Trans. Signal Process. 54(6-1): 2365-2367 (2006) - [c36]Ankur Agarwal, Bill Triggs:
A Local Basis Representation for Estimating Human Pose from Cluttered Images. ACCV (1) 2006: 50-59 - [c35]Ankur Agarwal, Bill Triggs:
Hyperfeatures - Multilevel Local Coding for Visual Recognition. ECCV (1) 2006: 30-43 - [c34]Navneet Dalal, Bill Triggs, Cordelia Schmid:
Human Detection Using Oriented Histograms of Flow and Appearance. ECCV (2) 2006: 428-441 - [c33]Eric Nowak, Frédéric Jurie, Bill Triggs:
Sampling Strategies for Bag-of-Features Image Classification. ECCV (4) 2006: 490-503 - [c32]Frank Moosmann, Bill Triggs, Frédéric Jurie:
Fast Discriminative Visual Codebooks using Randomized Clustering Forests. NIPS 2006: 985-992 - 2005
- [j8]Cristian Sminchisescu, Bill Triggs:
Building Roadmaps of Minima and Transitions in Visual Models. Int. J. Comput. Vis. 61(1): 81-101 (2005) - [j7]Bill Triggs:
Editorial: Selection of Marr Prize Papers at ICCV'03. Int. J. Comput. Vis. 63(2): 111-111 (2005) - [c31]Ankur Agarwal, Bill Triggs:
Monocular Human Motion Capture with a Mixture of Regressors. CVPR Workshops 2005: 72 - [c30]Guillaume Bouchard, Bill Triggs:
Hierarchical Part-Based Visual Object Categorization. CVPR (1) 2005: 710-715 - [c29]Jean Ponce, Kenton McHenry, Théodore Papadopoulo, Monique Teillaud, Bill Triggs:
On the Absolute Quadratic Complex and Its Application to Autocalibration. CVPR (1) 2005: 780-787 - [c28]Navneet Dalal, Bill Triggs:
Histograms of Oriented Gradients for Human Detection. CVPR (1) 2005: 886-893 - [c27]Frédéric Jurie, Bill Triggs:
Creating Efficient Codebooks for Visual Recognition. ICCV 2005: 604-610 - [c26]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, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - 2004
- [c25]Ankur Agarwal, Bill Triggs:
3D Human Pose from Silhouettes by Relevance Vector Regression. CVPR (2) 2004: 882-888 - [c24]Ankur Agarwal, Bill Triggs:
Tracking Articulated Motion Using a Mixture of Autoregressive Models. ECCV (3) 2004: 54-65 - [c23]Bill Triggs:
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes. ECCV (4) 2004: 100-113 - [c22]Ankur Agarwal, Bill Triggs:
Learning to track 3D human motion from silhouettes. ICML 2004 - 2003
- [j6]Cristian Sminchisescu, Bill Triggs:
Estimating Articulated Human Motion With Covariance Scaled Sampling. Int. J. Robotics Res. 22(6): 371-392 (2003) - [c21]Cristian Sminchisescu, Bill Triggs:
Kinematic Jump Processes For Monocular 3D Human Tracking. CVPR (1) 2003: 69-76 - 2002
- [c20]Cristian Sminchisescu, Bill Triggs:
Building Roadmaps of Local Minima of Visual Models. ECCV (1) 2002: 566-582 - [c19]Rémi Ronfard, Cordelia Schmid, Bill Triggs:
Learning to Parse Pictures of People. ECCV (4) 2002: 700-714 - [c18]Cristian Sminchisescu, Bill Triggs:
Hyperdynamics Importance Sampling. ECCV (1) 2002: 769-783 - 2001
- [c17]Cristian Sminchisescu, Bill Triggs:
Covariance Scaled Sampling for Monocular 3D Body Tracking. CVPR (1) 2001: 447-454 - [c16]Bill Triggs:
Joint Feature Distributions for Image Correspondence. ICCV 2001: 201-208 - [c15]Bill Triggs:
Empirical Filter Estimation for Subpixel Interpolation and Matching. ICCV 2001: 550-557 - 2000
- [j5]Fredrik Kahl, Bill Triggs, Kalle Åström:
Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary. J. Math. Imaging Vis. 13(2): 131-146 (2000) - [c14]Bill Triggs:
Plane+Parallax, Tensors and Factorization. ECCV (1) 2000: 522-538 - [c13]Bill Triggs, David Nistér, Ken-ichi Kanatani, Jean Ponce, Zhengyou Zhang:
Panel Session on Computations and Algorithms. SMILE 2000: 86-93 - [e1]Bill Triggs, Andrew Zisserman, Richard Szeliski:
Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms, held during ICCV '99, Corfu, Greece, September 21-22, 1999, Proceedings. Lecture Notes in Computer Science 1883, Springer 2000, ISBN 3-540-67973-1 [contents]
1990 – 1999
- 1999
- [c12]Fredrik Kahl, Bill Triggs:
Critical Motions in Euclidean Structure from Motion. CVPR 1999: 2366-2372 - [c11]Bill Triggs:
Camera Pose and Calibration from 4 or 5 Known 3D Points. ICCV 1999: 278-284 - [c10]Bill Triggs:
Differential Matching Constraints. ICCV 1999: 370-376 - [c9]Bill Triggs, Philip F. McLauchlan, Richard I. Hartley, Andrew W. Fitzgibbon:
Bundle Adjustment - A Modern Synthesis. Workshop on Vision Algorithms 1999: 298-372 - 1998
- [c8]Bill Triggs:
Autocalibration from Planar Scenes. ECCV (1) 1998: 89-105 - [c7]Bill Triggs:
Optimal Estimation of Matching Constraints. SMILE 1998: 63-77 - 1997
- [j4]Bill Triggs:
Linear projective reconstruction from matching tensors. Image Vis. Comput. 15(8): 617-625 (1997) - [c6]Bill Triggs:
Autocalibration and the absolute quadric. CVPR 1997: 609-614 - 1996
- [c5]Bill Triggs:
Linear Projective Reconstruction from Matching Tensors. BMVC 1996: 1-10 - [c4]Bill Triggs:
Factorization Methods for Projective Structure and Motion. CVPR 1996: 845-851 - [c3]Peter F. Sturm, Bill Triggs:
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion. ECCV (2) 1996: 709-720 - 1995
- [j3]Christian Bard, Christian Laugier, Christine Milesi-Bellier, Jocelyne Troccaz, Bill Triggs, Gianni Viardo Vercelli:
Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing. Int. J. Robotics Res. 14(5): 445-464 (1995) - [c2]Bill Triggs:
Matching Constraints and the Joint Image. ICCV 1995: 338-343 - [c1]Bill Triggs, Christian Laugier:
Automatic Camera Placement for Robot Vision Tasks. ICRA 1995: 1732-1737 - 1994
- [j2]Bill Triggs:
Model-based sonar localisation for mobile robots. Robotics Auton. Syst. 12(3-4): 173-186 (1994) - 1993
- [j1]Bill Triggs:
Book Review: Nonholonomic Motion Planning by Zexiang Li and J. F. Canny published by Kluwer Academic Publishers, 1993. Int. J. Robotics Res. 12(5): 503-504 (1993)
Coauthor Index
aka: Hakan Cevikalp
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