MobilEye N.V., Ltd., Inc., co-founded with Ziv Aviram, 1999.
Publications: 2009
T. Hazan and A. Shashua.
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference. TR 2009-5, Leibniz Center for Research, School of Computer Science and Eng., The Hebrew University of Jerusalem, March, 2009. Arxiv 0903.3127 posted March 18, revised April 30, 2009.
Publications: 2008
T. Hazan and A. Shashua. Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. The 24th Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki, July 2008. Best student paper runner up.
T. Hazan, A. Man and A. Shashua. A Parallel Decomposition Solver for SVM: Distributed Dual Ascend using Fenchel Duality. Conf. on Computer Vision and Pattern Recognition (CVPR), June 2008, Anchorage, Alaska.
R. Zass and A. Shashua. Probabilistic Graph and Hypergraph Matching. Conf. on Computer Vision and Pattern Recognition (CVPR), June 2008, Anchorage, Alaska.
Publications: 2007
S. Polak and A. Shashua. Latent Model Clustering and Applications to Visual Recognition. International Conference on Computer
Vision (ICCV) Rio, Brazil, Oct., 2007
.
T. Hazan, R. Hardoon and A. Shashua. pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm. International Conference on Computer
Vision (ICCV) Rio, Brazil, Oct., 2007
.
T. Hazan and A. Shashua.
An Efficient Algorithm for Maximum Tsallis Entropy using Fenchel-duality . Technical Report 2007-110, Leibniz Center for Research,
School of Computer Science and Eng., The Hebrew University of Jerusalem,
June, 2007.
T. Hazan and A. Shashua.
Analysis of L2-loss for Probabilistically valid Factorizations under General Additive Noise. Technical Report 2007-13, Leibniz Center for Research,
School of Computer Science and Eng., The Hebrew University of Jerusalem,
April, 2007.
Publications: 2006
R. Zass and A. Shashua.
Doubly Stochastic Normalization for Spectral Clustering. Neural Information and Processing Systems (NIPS), Dec. 2006.
R. Zass and A. Shashua.
Nonnegative Sparse PCA. Neural Information and Processing Systems (NIPS), Dec. 2006.
R. Mason, J. Radford, D. Kumar, R. Walters, B. Fulkerson, E. Jones, D. Caldwell, J. Meltzer, Y. Alon, A. Shashua, H. Hattori, N. Takeda, E. Frazzoli, and S. Soatto.
The Golem Group / UCLA Autonomous Ground Vehicle in the DARPA Grand Challenge. Journal of Field Robotics 23(8), 527-553, 2006.
Y. Alon, A. Ferencz and A. Shashua.
Off-road Path Following using Region Classification and Geometric Projection Constraints. Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, NY.
A. Shashua, R. Zass and T. Hazan.
Multi-way Clustering Using Super-symmetric Non-negative Tensor Factorization. Proc. of the European Conference on Computer
Vision (ECCV), May 2006, Graz, Austria.
Publications: 2005
L. Wolf and A. Shashua. Feature Selection for Unsupervised and Supervised
Inference: the Emergence of Sparsity in a
Weight-based Approach. Journal of Machine Learning Research (JMLR), 6(11):1885-1887, 2005.
R. Zass and A. Shashua. A Unifying Approach to Hard and Probabilistic Clustering. International Conference on Computer
Vision (ICCV) Beijing, China, Oct., 2005
.
T. Hazan, S. Polak and A. Shashua. Sparse Image Coding using a 3D Non-negative Tensor Factorization. International Conference on Computer
Vision (ICCV) Beijing, China, Oct., 2005
.
A. Shashua and T. Hazan.
Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision. International Conference on Machine Learning (ICML), Aug. 2005.
L. Wolf, A. Shashua and S. Mukhergee.
Gene Selection via a Spectral Approach. post CVPR IEEE Workshop on Computer Vision Methods for Bioinformatics (CVMB), 2005.
Publications: 2004
A. Shashua and T. Hazan.
Algebraic Set Kernels with Application to Inference Over Local Image Representations. Neural Information and Processing Systems (NIPS), Dec. 2004. (final version).
A. Shashua and L. Wolf.
Dynamic P^n to P^n Alignment. To appear in Handbook of Computational Geometry for Pattern Recognition, Computer Vision, Neurocomputing and Robotics. Eduardo Bayro-Corrochano (eds.), Springer-Verlag, 2004.
A. Shashua, Y. Gdalyahu and G. Hayon.
Pedestrian Detection for Driving Assistance Systems: Single-frame Classification and System Level Performance. Proc. of the IEEE Intelligent Vehicles Symposium (IV2004), June 2004, Parma, Italy.
A. Shashua and L. Wolf.
Kernel Feature Selection with Side Data using a Spectral Approach. Proc. of the European Conference on Computer
Vision (ECCV), May 2004, Prague, Czech Republic.
J. Kaminski and A. Shashua. Multiple View Geometry of General Algebraic Curves. International Journal on Computer
Vision (IJCV), 56(3), pp. 195-219, 2004.
Publications: 2003
Lior Wolf and A. Shashua.
Learning over Sets using Kernel Principal Angles. Journal of Machine Learning Research (JMLR), 4(10):913-931, 2003.
L. Wolf, A. Shashua and S. Mukherjee.
Selecting relevant genes with a spectral approach. Submitted,
Sep., 2004.
Lior Wolf and A. Shashua. Feature Selection for Unsupervised and Supervised
Inference: the Emergence of Sparsity in a
Weighted-based Approach. International Conference on Computer
Vision (ICCV) 2003.
An extended version in JMLR
Lior Wolf and A. Shashua.
Kernel Principal Angles for Classification Machines
with Applications to Image Sequence Interpretation. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), June 2003,
Madison, Wisconsin
.
G.P. Stein, O. Mano and A. Shashua. Vision-based ACC with a Single Camera: Bounds on Range and
Range Rate Accuracy.
IEEE Intelligent Vehicles Symposium (IV2003),June 2003, Columbus, OH.
Publications: 2002 (Sabbatical at Stanford)
A. Shashua, R. Meshulam, L. Wolf, A. Levin and G. Kalai.
On Representation Theory in Computer Vision Problems. Technical Report 2002-44, Leibniz Center for Research,
School of Computer Science and Eng., The Hebrew University of Jerusalem,
July, 2002.
A. Shashua and A. Levin.
Ranking with Large Margin Principle: Two Approaches.
Neural Information and Processing Systems (NIPS), Dec. 2002.
Lior Wolf and A. Shashua. On
Projection Matrices P^k -> P^2,
k=3,...,6, and their Applications in Computer Vision. International Journal on Computer
Vision (IJCV) 48(1), 2002.
Honorable Mention for the 2001 Marr Prize.
A. Levin and A. Shashua.
Principal Component Analysis Over Continuous Subspaces and
Intersection of Half-spaces. Proc. of the European Conference on Computer
Vision (ECCV), May 2002, Copenhagen, Denmark.
A. Levin and A. Shashua.
Revisiting Single-view Shape Tensors: Theory and Applications.
Proc. of the European Conference on Computer
Vision (ECCV), May 2002, Copenhagen, Denmark.
A. Shashua, A. Levin and S. Avidan.
Manifold Pursuit: A New Approach to Appearance
Based Recognition.
International Conference on Pattern Recognition (ICPR), August 2002, Quebec, Canada.
Publications: 2001
A. Shashua and A. Levin.
Linear Image Coding for Regression and
Classification using the Tensor-rank Principle. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), Dec. 2001,
Hawaii.
.
Lior Wolf and A. Shashua.
Two-body Segmentation from Two Perspective Views. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), Dec. 2001,
Hawaii.
.
A. Levin, Lior Wolf and A. Shashua.
Time-varying Shape Tensors for Scenes with Multiply Moving
Points. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), Dec. 2001,
Hawaii.
.
Lior Wolf and A. Shashua. On
Projection Matrices P^k -> P^2,
k=3,...,6, and their Applications in Computer Vision. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001
.
The complete version to appear in IJCV
Honorable Mention for the 2001 Marr Prize.
Lior Wolf and A. Shashua. Affine 3-D Reconstruction from Two Projective Images of
Independently Translating Planes. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001
.
A. Shashua and A. Levin Multi-frame Infinitesimal Motion Model for the Reconstruction
of (Dynamic) Scenes with Multiple Linearly Moving Objects. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001
.
A. Zomet, Lior Wolf and A. Shashua. Omni-rig: Linear Self-recalibration of a Rig with Varying
Internal and External Parameters. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001
.
J. Y. Kaminski, M. Fryers, A.
Shashua and M. Teicher. Multiple View Geometry of
Non-planar Algebraic Curves. International Conference on Computer
Vision (ICCV) Vancouver, Canada, July, 2001
.
S. Avidan and A. Shashua. Threading
Fundamental Matrices.IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol.
23(1), pp. 73--77, 2001
.
A. Shashua and T. Riklin Raviv.The
Quotient Image: Class Based Re-rendering and Recognition With Varying Illuminations.
IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol.
23(2), pp. 129--139, 2001
.
Publications: 2000
S. Avidan and A. Shashua. Trajectory
Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence. IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol.
22(4), pp. 348--357, 2000
.
A. Shashua and Lior Wolf. Homography
Tensors: On Algebraic Entities That Represent Three Views of Static or
Moving Planar Points. Proc. of the European Conference on Computer
Vision (ECCV), June 2000, Dublin, Ireland. best paper award
winner.
A. Shashua and Lior Wolf. On
the Structure and Properties of the Quadrifocal Tensor. Proc. of
the European Conference on Computer Vision (ECCV), June 2000, Dublin,
Ireland.
A. Shashua and S. Avidan. On
the Reprojection of 3D and 2D Scenes Without Explicit Model Selection.
Proc. of the European Conference on Computer Vision (ECCV), June 2000,
Dublin, Ireland.
D. Segal and A. Shashua. 3D
Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen
from a Moving Camera. Proc. of the European Conference on Computer
Vision (ECCV), June 2000, Dublin, Ireland.
J. Kaminski and A. Shashua. On
the Calibration and Reconstruction from Planar Curves. Proc. of
the European Conference on Computer Vision (ECCV), June 2000, Dublin,
Ireland.
Y. Wexler and A. Shashua. On
the Synthesis of Dynamic Scenes from Reference Views. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), June 2000,
South Carolina.
Lior Wolf, A. Shashua and Y. Wexler. Join
Tensors: on 3D-to-3D alignment of Dynamic Sets. Proc. of the Int.
Conf. on Pattern Recog. (ICPR), Sep. 2000, Barcelona, Spain
G.P. Stein, O. Mano and A. Shashua.A Robust Method for Computing Vehicle Ego-motion.
IEEE Intelligent Vehicles Symposium (IV2000),Oct. 2000, Dearborn, MI.
G.P. Stein and A. Shashua.
Model-based
Brightness Constraints: on Direct Estimation of Structure and
Motion. IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI) Vol.
22(9), pp. 992--1015, 2000.
Publications: 1999
A. Shashua, S. Avidan and M. Werman.Trajectory
Triangulation over Conic Sections.
International Conference on Computer
Vision (ICCV) Sep., 1999
S. Avidan and A. Shashua. Trajectory Triangulation
of Lines: Reconstruction of a 3D point Moving
along a Line from a Monocular Image Sequence. IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), June, 1999.
T. Riklin Raviv and A. Shashua.The
Quotient Image: Class Based Re-rendering and Recognition With Varying Illuminations.
IEEE
Conf. on Computer Vision and Pattern Recognition (CVPR), June, 1999.
Y. Wexler and A. Shashua. Q-warping:
Direct Computation of Quadratic Reference Surfaces. IEEE Conf. on
Computer Vision and Pattern Recognition (CVPR), June, 1999.
(full journal version in)
A. Shashua. On the Equivalence Between
the Support Vector Machine for Classification and Sparsified Fisher's Linear
Discriminant
. Neural Processing Letters, 9(2): 129--139, 1999.
G. P. Stein and A. Shashua. On Degeneracy
of Linear Reconstruction from Three Views: Linear Line Complex and Applications.IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol.
21(3), pp. 244--251, 1999.
A. Shashua.
Multiple-view
Geometry and Photometry. "Recent Progress in Computer Vision", Springer-Verlag,
LNCS series - Invited papers of ACCV'95, Singapore Dec. 1995.
A. Shashua.
Multiple-view
Geometry and Photometry. "Recent Progress in Computer Vision", Springer-Verlag,
LNCS series - Invited papers of ACCV'95, Singapore Dec. 1995.
Publications:
1988-94
A. Shashua. Trilinear Functions For Visual Recognition. Proc.
of the European Conference on Computer Vision (ECCV), pp. 479-484,
May 1994, Stockholm, Sweden.
A. Shashua and S. Toelg. The Quadric Reference Surface: Applications
in Registering Views of Complex 3D Objects.Proc. of the European
Conference on Computer Vision (ECCV), pp. 407-416, May 1994, Stockholm,
Sweden.
A. Shashua and N. Navab. Relative Affine Structure: Theory and Application
for 3D Reconstruction From Perspective Views. IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), pp. 483-489, June 1994,
Seattle, Washington.
A. Shashua. Projective Depth: A Geometric Invariant For 3D Reconstruction
>From Two Perspective/Orthographic Views and For Visual Recognition. International
Conference on Computer Vision (ICCV), pp. 583-590, May 1993, Berlin,
Germany.
A. Shashua and S. Ullman.
Grouping
Contours by Iterated Pairing Network. In Lippmann,R.P., Moody,J.E.
and Touretzky,D.S. (eds.) Advances in Neural Information Processing Systems
3, pp. 335--341, Morgan Kaufmann Publishers, CA, 1991 (Proc. of NIPS'90).
A. Shashua.
Illumination
and View Position in 3D Visual Recognition. In J.E. Moody, S.J.
Hanson and R.P. Lippmann (eds.) Advances in Neural Information Processing
Systems 4, pp. 404--411, Morgan Kaufmann Publishers, CA 1992 (Proc. of
NIPS'91).
A. Shashua and S. Ullman. Structural
Saliency: the Detection of Globally Salient Structures Using a Locally
Connected Network.In Proc. of the International Conference on Computer
Vision (ICCV), Dec. 1988, Tarpon Springs, Florida.
Biography
Publications: 2009
