2008 |
29 | EE | Rupert Brooks,
D. Louis Collins,
Xavier Morandi,
Tal Arbel:
Deformable Ultrasound Registration without Reconstruction.
MICCAI (2) 2008: 1023-1031 |
28 | EE | Rupert Brooks,
Tal Arbel,
Doina Precup:
Anytime similarity measures for faster alignment.
Computer Vision and Image Understanding 110(3): 378-389 (2008) |
27 | EE | Catherine Laporte,
Tal Arbel:
Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound.
IEEE Trans. Med. Imaging 27(7): 984-994 (2008) |
2007 |
26 | EE | Matthew Toews,
Tal Arbel:
Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling.
AMFG 2007: 154-167 |
25 | EE | Rupert Brooks,
Tal Arbel:
The importance of scale when selecting pixels for image registration.
CRV 2007: 235-242 |
24 | EE | Matthew Toews,
Tal Arbel:
Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames.
ICCV 2007: 1-8 |
23 | EE | Rupert Brooks,
Tal Arbel,
Doina Precup:
Fast Image Alignment Using Anytime Algorithms.
IJCAI 2007: 2078-2083 |
22 | EE | Catherine Laporte,
James J. Clark,
Tal Arbel:
A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model.
ISBI 2007: 880-883 |
21 | EE | Catherine Laporte,
Tal Arbel:
Probabilistic Speckle Decorrelation for 3D Ultrasound.
MICCAI (1) 2007: 925-932 |
20 | EE | Matthew Toews,
Tal Arbel:
A Statistical Parts-Based Model of Anatomical Variability.
IEEE Trans. Med. Imaging 26(4): 497-508 (2007) |
2006 |
19 | EE | Matthew Toews,
Tal Arbel:
Detection Over Viewpoint via the Object Class Invariant.
ICPR (1) 2006: 765-768 |
18 | EE | Rupert Brooks,
Tal Arbel:
Generalizing inverse compositional image alignment.
ICPR (2) 2006: 1200-1203 |
17 | EE | Frank Riggi,
Matthew Toews,
Tal Arbel:
Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters.
ICPR (2) 2006: 21-24 |
16 | EE | Rola Harmouche,
D. Louis Collins,
Douglas L. Arnold,
Simon J. Francis,
Tal Arbel:
Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information.
ICPR (3) 2006: 984-987 |
15 | EE | Matthew Toews,
D. Louis Collins,
Tal Arbel:
A Statistical Parts-Based Appearance Model of Inter-subject Variability.
MICCAI (1) 2006: 232-240 |
14 | EE | Catherine Laporte,
Tal Arbel:
Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition.
International Journal of Computer Vision 68(3): 267-287 (2006) |
2005 |
13 | EE | Matthew Toews,
D. Louis Collins,
Tal Arbel:
Maximum a Posteriori Local Histogram Estimation for Image Registration.
MICCAI (2) 2005: 163-170 |
2004 |
12 | EE | Catherine Laporte,
Rupert Brooks,
Tal Arbel:
A Fast Discriminant Approach to Active Object Recognition and Pose Estimation.
ICPR (3) 2004: 91-94 |
2003 |
11 | EE | Matthew Toews,
Tal Arbel:
Entropy-of-likelihood Feature Selection for Image Correspondence.
ICCV 2003: 1041-1047 |
2002 |
10 | EE | Sandra Skaff,
Tal Arbel,
James J. Clark:
Active Bayesian Color Constancy with Non-Uniform Sensors.
ICPR (2) 2002: 681-684 |
9 | EE | Tal Arbel,
Frank P. Ferrie:
Interactive visual dialog.
Image Vision Comput. 20(9-10): 639-646 (2002) |
2001 |
8 | EE | Tal Arbel,
Xavier Morandi,
Roch M. Comeau,
D. Louis Collins:
Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations.
MICCAI 2001: 913-922 |
7 | EE | Tal Arbel,
Frank P. Ferrie:
Entropy-based gaze planning.
Image Vision Comput. 19(11): 779-786 (2001) |
6 | | Tal Arbel,
Frank P. Ferrie:
On the Sequential Accumulation of Evidence.
International Journal of Computer Vision 43(3): 205-230 (2001) |
2000 |
5 | EE | Tal Arbel,
Frank P. Ferrie:
Interactive Visual Dialog.
BMVC 2000 |
4 | EE | Tal Arbel,
Frank P. Ferrie,
Marcel Mitran:
Recognizing Objects From Curvilinear Motion.
BMVC 2000 |
1999 |
3 | EE | Tal Arbel,
Frank P. Ferrie:
Viewpoint Selection by Navigation through Entropy Maps.
ICCV 1999: 248-254 |
1996 |
2 | | Tal Arbel,
Frank P. Ferrie:
Informative Views and Sequential Recognition.
ECCV (1) 1996: 469-481 |
1 | EE | Tal Arbel,
Peter Whaite,
Frank P. Ferrie:
Parametric shape recognition using a probabilistic inverse theory.
Pattern Recognition Letters 17(5): 491-501 (1996) |