Amnon Shashua

发表

Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs

Tamir Hazan, Jian Peng, Amnon Shashua, 2012, UAI.

Guest Editorial

Kiriakos N. Kutulakos, Amnon Shashua, 2004, International Journal of Computer Vision.

The Golem Group / UCLA Autonomous Ground Vehicle in the DARPA Grand Challenge

Emilio Frazzoli, Stefano Soatto, Amnon Shashua, 2007 .

Threading Fundamental Matrices

Amnon Shashua, Shai Avidan, 1998, ECCV.

A robust method for computing vehicle ego-motion

Amnon Shashua, G. P. Stein, Ofer Mano, 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations

Amnon Shashua, Tammy Riklin-Raviv, A. Shashua, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence

Amnon Shashua, Shai Avidan, A. Shashua, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge

Emilio Frazzoli, Stefano Soatto, Amnon Shashua, 2006, J. Field Robotics.

Notes on Hierarchical Splines, DCLNs and i-theory

Tomaso Poggio, Lorenzo Rosasco, Amnon Shashua, 2015 .

Model-based brightness constraints: on direct estimation of structure and motion

Amnon Shashua, Gideon P. Stein, A. Shashua, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Sparse image coding using a 3D non-negative tensor factorization

Tamir Hazan, Amnon Shashua, Simon Polak, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Threading Fundamental Matrices

Amnon Shashua, Shai Avidan, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Illumination and View Position in 3D Visual Recognition

Amnon Shashua, A. Shashua, 1991, NIPS.

Affine 3-D reconstruction from two projective images of independently translating planes

Lior Wolf, Amnon Shashua, Lior Wolf, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Trajectory triangulation over conic section

Michael Werman, Amnon Shashua, Shai Avidan, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters

Lior Wolf, Amnon Shashua, Assaf Zomet, 2001, ICCV.

Omni-rig: linear self-recalibration of a rig with varying internal and external parameters

Lior Wolf, Amnon Shashua, Assaf Zomet, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Non-Rigid Parallax for 3D Linear Motion

Amnon Shashua, Shai Avidan, 1998, CVPR 1998.

Multiple view geometry of non-planar algebraic curves

Amnon Shashua, Jeremy Yermiyahou Kaminski, Mina Teicher, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Deep SimNets

Amnon Shashua, Nadav Cohen, Or Sharir, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Benefits of Depth for Long-Term Memory of Recurrent Networks pdf

Amnon Shashua, Or Sharir, Yoav Levine, 2017, ICLR.

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving pdf

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2016, ArXiv.

On the Reprojection of 3D and 2D Scenes Without Explicit Model Selection

Amnon Shashua, Shai Avidan, 2000, ECCV.

Linear image coding for regression and classification using the tensor-rank principle

Amnon Shashua, Anat Levin, A. Shashua, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Tensorial Transfer: Representation of N > 3 Views of 3D scenes

Amnon Shashua, Shai Avidan, 1996 .

Introduction to Machine Learning

Amnon Shashua, A. Shashua, 2019, Series in Machine Perception and Artificial Intelligence.

Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization

Tamir Hazan, Amnon Shashua, Ron Zass, 2006, ECCV.

Probabilistic graph and hypergraph matching

Amnon Shashua, Ron Zass, A. Shashua, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Revisiting Single-View Shape Tensors: Theory and Applications

Amnon Shashua, Anat Levin, 2002, ECCV.

On the synthesis of dynamic scenes from reference views

Amnon Shashua, Yonatan Wexler, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

SenseBERT: Driving Some Sense into BERT

Yoav Shoham, Amnon Shashua, Shai Shalev-Shwartz, 2019, ACL.

A Monocular Vision Advance Warning System for the Automotive Aftermarket

Amnon Shashua, Itay Gat, Meny Benady, 2005 .

Wearable device and methods for transmitting information based on physical distance

Amnon Shashua, Yonatan Wexler, 2017 .

Learning over Sets using Kernel Principal Angles

Lior Wolf, Amnon Shashua, Lior Wolf, 2003, J. Mach. Learn. Res..

On the Expressive Power of Overlapping Operations of Deep Networks pdf

Amnon Shashua, Or Sharir, 2017, ArXiv.

Two-body segmentation from two perspective views

Lior Wolf, Amnon Shashua, Lior Wolf, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

On Photometric Issues in 3D Visual Recognition from a Single 2D Image

Amnon Shashua, A. Shashua, 2004, International Journal of Computer Vision.

Multi-frame infinitesimal motion model for the reconstruction of (dynamic) scenes with multiple linearly moving objects

Amnon Shashua, Anat Levin, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

On Projection Matrices $$\mathcal{P}^k \to \mathcal{P}^2 ,k = 3,...,6, $$ and their Applications in Computer Vision

Lior Wolf, Amnon Shashua, 2004, International Journal of Computer Vision.

Novel view synthesis in tensor space

Amnon Shashua, Shai Avidan, A. Shashua, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality

Tamir Hazan, Amnon Shashua, Amit Man, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Relative affine structure: theory and application to 3D reconstruction from perspective views

Nassir Navab, Amnon Shashua, A. Shashua, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Omni-Rig sensors: what can be done with a non-rigid vision platform?

Amnon Shashua, A. Shashua, 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput pdf

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2019, ArXiv.

Novel View Synthesis by Cascading Trilinear Tensors

Amnon Shashua, Shai Avidan, A. Shashua, 1998, IEEE Trans. Vis. Comput. Graph..

Join tensors: On 3D-to-3D alignment of dynamic sets

Lior Wolf, Amnon Shashua, Yonatan Wexler, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Inductive Bias of Deep Convolutional Networks through Pooling Geometry pdf

Amnon Shashua, Nadav Cohen, A. Shashua, 2016, ICLR.

Trilinear Tensor: The Fundamental Construct of Multiple-view Geometry and Its Applications

Amnon Shashua, 1997, AFPAC.

Time-varying shape tensors for scenes with multiply moving points

Lior Wolf, Amnon Shashua, Anat Levin, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition

Amnon Shashua, A. Shashua, 1993, 1993 (4th) International Conference on Computer Vision.

Fundamental Tensor: On the Geometry of Three Perspective Views

Michael Werman, Amnon Shashua, 1995 .

On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training pdf

Amnon Shashua, Shai Shalev-Shwartz, S. Shalev-Shwartz, 2016, ArXiv.

Off-road Path Following using Region Classification and Geometric Projection Constraints

Amnon Shashua, Yaniv Alon, Andras Ferencz, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Manifold pursuit: a new approach to appearance based recognition

Amnon Shashua, Shai Avidan, Anat Levin, 2002, Object recognition supported by user interaction for service robots.

On Degeneracy of Linear Reconstruction from Three Views: Linear Line Complex and Applications

Amnon Shashua, Gideon P. Stein, 1998, ECCV.

Kernel principal angles for classification machines with applications to image sequence interpretation

Lior Wolf, Amnon Shashua, Lior Wolf, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Tensorial Mixture Models pdf

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2017, ArXiv.

Image-based view synthesis by combining trilinear tensors and learning techniques

Amnon Shashua, Tomaso A. Poggio, Shai Avidan, 1997, VRST '97.

Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions pdf

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2017, ICLR.

The study of 3D-from-2D using elimination

Michael Werman, Amnon Shashua, A. Shashua, 1995, Proceedings of IEEE International Conference on Computer Vision.

On Calibration and Reconstruction from Planar Curves

Amnon Shashua, Jeremy Yermiyahou Kaminski, A. Shashua, 2000, ECCV.

Tractable Generative Convolutional Arithmetic Circuits

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2016, 1610.04167.

Doubly Stochastic Normalization for Spectral Clustering

Amnon Shashua, Ron Zass, A. Shashua, 2006, NIPS.

On Projection Matrices and their Applications in Computer Vision

Lior Wolf, Amnon Shashua, Lior Wolf, 2001, ICCV.

Example Based Image Analysis and Synthesis

Tomaso Poggio, Amnon Shashua, David Beymer, 1993 .

Grouping Contours by Iterated Pairing Networks

Shimon Ullman, Amnon Shashua, S. Ullman, 1990, NIPS.

Nonnegative Sparse PCA

Amnon Shashua, Ron Zass, A. Shashua, 2006, NIPS.

ShareBoost: Efficient multiclass learning with feature sharing

Amnon Shashua, Yonatan Wexler, Shai Shalev-Shwartz, 2011, NIPS.

The Latent Bernoulli-Gauss Model for Data Analysis pdf

Amnon Shashua, Gabi Pragier, 2010, ArXiv.

Direct estimation of motion and extended scene structure from a moving stereo rig

Amnon Shashua, Gideon P. Stein, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

On Projection Matrices Pk-> P2k=3, ..., 6, and their Applications in Computer Vision

Lior Wolf, Amnon Shashua, 2002 .

Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions pdf

Ronen Tamari, Amnon Shashua, Nadav Cohen, 2017, ArXiv.

Algebraic Functions For Recognition

Amnon Shashua, A. Shashua, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Algebraic Set Kernels with Application to Inference Over Local Image Representations

Tamir Hazan, Amnon Shashua, A. Shashua, 2004, NIPS.

Trilinearity of three perspective views and its associated tensor

Michael Werman, Amnon Shashua, 1995, Proceedings of IEEE International Conference on Computer Vision.

Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies

Tamir Hazan, Amnon Shashua, A. Shashua, 2008, UAI.

Deep autoregressive models for the efficient variational simulation of many-body quantum systems

Amnon Shashua, Noam Wies, Or Sharir, 2019, Physical review letters.

Vision-based ACC with a single camera: bounds on range and range rate accuracy

Amnon Shashua, Ofer Mano, Gideon Stein, 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

Algebraic derivations of relative affine structure and applications to 3D reconstruction from 2D views

Nassir Navab, Amnon Shashua, 1994, Other Conferences.

Ambiguity in reconstruction from images of six points

Amnon Shashua, Stephen J. Maybank, A. Shashua, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Non-negative tensor factorization with applications to statistics and computer vision

Tamir Hazan, Amnon Shashua, A. Shashua, 2005, ICML.

The quotient image: Class based recognition and synthesis under varying illumination conditions

Amnon Shashua, Tammy Riklin-Raviv, A. Shashua, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Learning a Metric Embedding for Face Recognition using the Multibatch Method

Amnon Shashua, Yonatan Wexler, Shai Shalev-Shwartz, 2016, NIPS.

On Degeneracy of Linear Reconstruction From Three Views: Linear Line Complex and Applications

Amnon Shashua, Gideon P. Stein, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

On a Formal Model of Safe and Scalable Self-driving Cars pdf

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2017, ArXiv.

Unifying two-view and three-view geometry

Amnon Shashua, Shai Avidan, 1997 .

Long-term Planning by Short-term Prediction pdf

Amnon Shashua, Shai Shalev-Shwartz, Aviad Cohen, 2016, ArXiv.

Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces

Amnon Shashua, Anat Levin, A. Shashua, 2002, ECCV.

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design pdf

Amnon Shashua, Nadav Cohen, David Yakira, 2017, ICLR.

A unifying approach to hard and probabilistic clustering

Amnon Shashua, Ron Zass, A. Shashua, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

On the Expressive Power of Overlapping Architectures of Deep Learning

Amnon Shashua, Or Sharir, A. Shashua, 2017, ICLR.

Q-warping: direct computation of quadratic reference surfaces

Amnon Shashua, Yonatan Wexler, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Ranking with Large Margin Principle: Two Approaches

Amnon Shashua, Anat Levin, A. Shashua, 2002, NIPS.

pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm

Tamir Hazan, Amnon Shashua, Roee Hardoon, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Tensor Embedding of the Fundamental Matrix

Amnon Shashua, Shai Avidan, 1998, SMILE.

Introduction to Machine Learning: Class Notes 67577 pdf

Amnon Shashua, A. Shashua, 2009, ArXiv.

Trajectory triangulation of lines: reconstruction of a 3D point moving along a line from a monocular image sequence

Amnon Shashua, Shai Avidan, A. Shashua, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference

Tamir Hazan, Amnon Shashua, A. Shashua, 2009, IEEE Transactions on Information Theory.

On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant

Amnon Shashua, A. Shashua, 1999, Neural Processing Letters.

Quantum Entanglement in Deep Learning Architectures.

Amnon Shashua, Nadav Cohen, Or Sharir, 2018, Physical review letters.

Projective Structure from Uncalibrated Images: Structure From Motion and Recognition

Amnon Shashua, A. Shashua, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Trilinearity in Visual Recognition by Alignment

Amnon Shashua, A. Shashua, 1994, ECCV.

A Computer Vision System on a Chip: a case study from the automotive domain

Amnon Shashua, Gideon P. Stein, Elchanan Rushinek, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors

Michael Werman, Daphna Weinshall, Amnon Shashua, 1996, ECCV.

Homography Tensors: On Algebraic Entities that Represent Three Views of Static or Moving Planar Points

Lior Wolf, Amnon Shashua, 2000, ECCV.

Q-Warping: Direct Computation of Quadratic Reference Surfaces

Amnon Shashua, Yonatan Wexler, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Kernel Feature Selection with Side Data Using a Spectral Approach

Lior Wolf, Amnon Shashua, Lior Wolf, 2004, ECCV.

The Semi-explicit Shape Model for Multi-object Detection and Classification

Amnon Shashua, Simon Polak, 2010, ECCV.

Multiple View Geometry of General Algebraic Curves

Amnon Shashua, Jeremy Yermiyahou Kaminski, A. Shashua, 2004, International Journal of Computer Vision.

The Rank 4 Constraint in Multiple (>=3) View Geometry

Amnon Shashua, Shai Avidan, 1996, ECCV.

Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion

Amnon Shashua, Gideon P. Stein, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

On Geomatric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views

Amnon Shashua, A. Shashua, 1993, Applications of Invariance in Computer Vision.

Latent Model Clustering and Applications to Visual Recognition

Amnon Shashua, Simon Polak, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Multiple-View Geometry and Photometry

Amnon Shashua, 1995, ACCV.

Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network

Shimon Ullman, Amnon Shashua, S. Ullman, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach

Lior Wolf, Amnon Shashua, Lior Wolf, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

SimNets: A Generalization of Convolutional Networks pdf

Amnon Shashua, Nadav Cohen, A. Shashua, 2014, ArXiv.

Convolutional Rectifier Networks as Generalized Tensor Decompositions pdf

Amnon Shashua, Nadav Cohen, A. Shashua, 2016, ICML.

Stereo-Assist: Top-down stereo for driver assistance systems

Amnon Shashua, Yoram Gdalyahu, Gideon P. Stein, 2010, 2010 IEEE Intelligent Vehicles Symposium.

On the Structure and Properties of the Quadrifocal Tensor

Lior Wolf, Amnon Shashua, Lior Wolf, 2000, ECCV.

Sum-Product-Quotient Networks

Amnon Shashua, Or Sharir, 2018, AISTATS.

3D Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen from a Moving Camera

Amnon Shashua, Dana Segal, 2000, ECCV.

Robust recovery of camera rotation from three frames

Amnon Shashua, Shai Avidan, Shmuel Peleg, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

The Quadric Reference Surface: Applications in Registering Views of Complex 3D Objects

Amnon Shashua, Sebastian Tölg, 1994, ECCV.

The Quadric Reference Surface: Theory and Applications

Amnon Shashua, Sebastian Tölg, 2004, International Journal of Computer Vision.

Which transformer architecture fits my data? A vocabulary bottleneck in self-attention

Amnon Shashua, Yoav Levine, Noam Wies, 2021, ICML.

The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design pdf

Amnon Shashua, Yoav Levine, Yedid Hoshen, 2021, ArXiv.

Neural tensor contractions and the expressive power of deep neural quantum states pdf

Amnon Shashua, Or Sharir, Giuseppe Carleo, 2021, ArXiv.

Tensor methods for vision and graphics with applications to dynamic morphing

Amnon Shashua, Yonatan Wexler, Roma Chellappa, 2001 .

Limits to Depth Efficiencies of Self-Attention pdf

Amnon Shashua, Yoav Levine, Noam Wies, 2020, NeurIPS.

Analysis of L2-loss for Probabilistically valid Factorizations under General Additive Noise

Tamir Hazan, Amnon Shashua, 2007 .

Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput

Amnon Shashua, Shai Shalev-Shwartz, Shaked Shammah, 2018, 1901.05022.

Algebraic Functions For Recognition Amnuon Shashua

Amnon Shashua, .

Selecting Relevant Genes with a Spectral Approach

Lior Wolf, Amnon Shashua, Sayan Mukherjee, 2004 .

what is human vision ?

Alauddin Bhuiyan, Amnon Shashua, A. Shashua, 2015 .

A geometric invariant for visual recognition and 3D reconstruction from two perspective/orthographic views

Amnon Shashua, A. Shashua, 1993, [1993] Proceedings IEEE Workshop on Qualitative Vision.

On Representation Theory in Computer Vision Problems

Amnon Shashua, Roy Meshulam, 2002 .

Shape Tensors for Eecient and Learnable Indexing

Amnon Shashua, 1995 .

On Projection Matrices

Lior Wolf, Amnon Shashua, A. Shashua, 2001 .

Kernel Feature Selection

Lior Wolf, Amnon Shashua, A. Shashua, 2003 .