Amnon Shashua - RankMe

156 papers A* 39A 4B 4Journal 67Unranked 42

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming. CoRR Gal Beniamini, Yuval Dor, Alon Vinnikov, Shir Granot Peled, Or Weinstein, Or Sharir, Noam Wies, Tomer Nussbaum, Ido Ben-Shaul, Tomer Zekharya, Yoav Levine, Shai Shalev-Shwartz, Amnon Shashua
2025	J	`jnl`	From Reasoning to Super-Intelligence: A Search-Theoretic Perspective. CoRR Shai Shalev-Shwartz, Amnon Shashua
2024	A*	`conf`	Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework. ICLR Eliya Segev, Maya Alroy, Ronen Katsir, Noam Wies, Ayana Shenhav, Yael Ben-Oren, David Zar, Oren Tadmor, Jacob Bitterman, Amnon Shashua, Tal Rosenwein
2024	J	`jnl`	Artificial Expert Intelligence through PAC-reasoning. CoRR Shai Shalev-Shwartz, Amnon Shashua, Gal Beniamini, Yoav Levine, Or Sharir, Noam Wies, Ido Ben-Shaul, Tomer Nussbaum, Shir Granot Peled
2024	J	`jnl`	Compositional Hardness of Code in Large Language Models - A Probabilistic Perspective. CoRR Yotam Wolf, Binyamin Rothberg, Dorin Shteyman, Amnon Shashua
2024	A*	`conf`	Fundamental Limitations of Alignment in Large Language Models. ICML Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, Amnon Shashua
2024	—	`conf`	Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
2024	J	`jnl`	Tradeoffs Between Alignment and Helpfulness in Language Models. CoRR Yotam Wolf, Noam Wies, Dorin Shteyman, Binyamin Rothberg, Yoav Levine, Amnon Shashua
2023	J	`jnl`	Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework. CoRR Eliya Segev, Maya Alroy, Ronen Katsir, Noam Wies, Ayana Shenhav, Yael Ben-Oren, David Zar, Oren Tadmor, Jacob Bitterman, Amnon Shashua, Tal Rosenwein
2023	J	`jnl`	Fundamental Limitations of Alignment in Large Language Models. CoRR Yotam Wolf, Noam Wies, Yoav Levine, Amnon Shashua
2023	J	`jnl`	Generating Benchmarks for Factuality Evaluation of Language Models. CoRR Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
2023	J	`jnl`	In-Context Retrieval-Augmented Language Models. CoRR Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	J	`jnl`	In-Context Retrieval-Augmented Language Models. Trans. Assoc. Comput. Linguistics Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	—	`conf`	Parallel Context Windows for Large Language Models. ACL (1) Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	A*	`conf`	Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks. ICLR Noam Wies, Yoav Levine, Amnon Shashua
2023	A*	`conf`	The Learnability of In-Context Learning. NeurIPS Noam Wies, Yoav Levine, Amnon Shashua
2023	J	`jnl`	The Learnability of In-Context Learning. CoRR Noam Wies, Yoav Levine, Amnon Shashua
2022	J	`jnl`	MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz
2022	J	`jnl`	Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2022	J	`jnl`	Standing on the Shoulders of Giant Frozen Language Models. CoRR Yoav Levine, Itay Dalmedigos, Ori Ram, Yoel Zeldes, Daniel Jannai, Dor Muhlgay, Yoni Osin, Opher Lieber, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2022	J	`jnl`	Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks. CoRR Noam Wies, Yoav Levine, Amnon Shashua
2022	A*	`conf`	The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. ICLR Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua
2021	J	`jnl`	Neural tensor contractions and the expressive power of deep neural quantum states. CoRR Or Sharir, Amnon Shashua, Giuseppe Carleo
2021	J	`jnl`	The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. CoRR Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua
2021	A*	`conf`	Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. ICML Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua
2021	J	`jnl`	Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. CoRR Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua
2020	A*	`conf`	Limits to Depth Efficiencies of Self-Attention. NeurIPS Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua
2020	J	`jnl`	Limits to Depth Efficiencies of Self-Attention. CoRR Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua
2020	J	`jnl`	On the Ethics of Building AI in a Responsible Manner. CoRR Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
2020	A*	`conf`	SenseBERT: Driving Some Sense into BERT. ACL Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
2019	J	`jnl`	Deep autoregressive models for the efficient variational simulation of many-body quantum systems. CoRR Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua
2019	J	`jnl`	SenseBERT: Driving Some Sense into BERT. CoRR Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
2019	J	`jnl`	Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput. CoRR Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
2018	—	`conf`	Benefits of Depth for Long-Term Memory of Recurrent Networks. ICLR (Workshop) Yoav Levine, Or Sharir, Amnon Shashua
2018	—	`conf`	Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. ICLR Nadav Cohen, Ronen Tamari, Amnon Shashua
2018	J	`jnl`	Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. CoRR Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua
2018	—	`conf`	Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. ICLR (Poster) Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
2018	—	`conf`	On the Expressive Power of Overlapping Architectures of Deep Learning. ICLR (Poster) Or Sharir, Amnon Shashua
2018	A	`conf`	Sum-Product-Quotient Networks. AISTATS Or Sharir, Amnon Shashua
2017	J	`jnl`	Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. CoRR Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua
2017	J	`jnl`	Benefits of Depth for Long-Term Memory of Recurrent Networks. CoRR Yoav Levine, Or Sharir, Amnon Shashua
2017	J	`jnl`	Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions. CoRR Nadav Cohen, Ronen Tamari, Amnon Shashua
2017	J	`jnl`	Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. CoRR Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
2017	—	`conf`	Inductive Bias of Deep Convolutional Networks through Pooling Geometry. ICLR (Poster) Nadav Cohen, Amnon Shashua
2017	J	`jnl`	On a Formal Model of Safe and Scalable Self-driving Cars. CoRR Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
2017	J	`jnl`	On the Expressive Power of Overlapping Operations of Deep Networks. CoRR Or Sharir, Amnon Shashua
2017	J	`jnl`	Sum-Product-Quotient Networks. CoRR Or Sharir, Amnon Shashua
2016	A*	`conf`	Convolutional Rectifier Networks as Generalized Tensor Decompositions. ICML Nadav Cohen, Amnon Shashua
2016	J	`jnl`	Convolutional Rectifier Networks as Generalized Tensor Decompositions. CoRR Nadav Cohen, Amnon Shashua
2016	A*	`conf`	Deep SimNets. CVPR Nadav Cohen, Or Sharir, Amnon Shashua
2016	J	`jnl`	Inductive Bias of Deep Convolutional Networks through Pooling Geometry. CoRR Nadav Cohen, Amnon Shashua
2016	—	`conf`	Learning a Metric Embedding for Face Recognition using the Multibatch Method. NIPS Oren Tadmor, Tal Rosenwein, Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
2016	J	`jnl`	Learning a Metric Embedding for Face Recognition using the Multibatch Method. CoRR Oren Tadmor, Yonatan Wexler, Tal Rosenwein, Shai Shalev-Shwartz, Amnon Shashua
2016	J	`jnl`	Long-term Planning by Short-term Prediction. CoRR Shai Shalev-Shwartz, Nir Ben-Zrihem, Aviad Cohen, Amnon Shashua
2016	A*	`conf`	On the Expressive Power of Deep Learning: A Tensor Analysis. COLT Nadav Cohen, Or Sharir, Amnon Shashua
2016	J	`jnl`	On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training. CoRR Shai Shalev-Shwartz, Amnon Shashua
2016	J	`jnl`	Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving. CoRR Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
2016	J	`jnl`	Tensorial Mixture Models. CoRR Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua
2015	J	`jnl`	Deep SimNets. CoRR Nadav Cohen, Or Sharir, Amnon Shashua
2015	J	`jnl`	On the Expressive Power of Deep Learning: A Tensor Analysis. CoRR Nadav Cohen, Or Sharir, Amnon Shashua
2014	J	`jnl`	SimNets: A Generalization of Convolutional Networks. CoRR Nadav Cohen, Amnon Shashua
2012	J	`jnl`	Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies CoRR Tamir Hazan, Amnon Shashua
2012	J	`jnl`	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs CoRR Tamir Hazan, Jian Peng, Amnon Shashua
2012	A	`conf`	Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs. UAI Tamir Hazan, Jian Peng, Amnon Shashua
2011	J	`jnl`	ShareBoost: Efficient Multiclass Learning with Feature Sharing CoRR Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
2011	—	`conf`	ShareBoost: Efficient multiclass learning with feature sharing. NIPS Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
2010	J	`jnl`	Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference. IEEE Trans. Inf. Theory Tamir Hazan, Amnon Shashua
2010	B	`conf`	Stereo-Assist: Top-down stereo for driver assistance systems. Intelligent Vehicles Symposium Gideon P. Stein, Yoram Gdalyahu, Amnon Shashua
2010	J	`jnl`	The Latent Bernoulli-Gauss Model for Data Analysis CoRR Amnon Shashua, Gabi Pragier
2010	—	`conf`	The Semi-explicit Shape Model for Multi-object Detection and Classification. ECCV (2) Simon Polak, Amnon Shashua
2009	J	`jnl`	Introduction to Machine Learning: Class Notes 67577 CoRR Amnon Shashua
2009	J	`jnl`	Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference CoRR Tamir Hazan, Amnon Shashua
2008	A*	`conf`	A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality. CVPR Tamir Hazan, Amit Man, Amnon Shashua
2008	A	`conf`	Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies. UAI Tamir Hazan, Amnon Shashua
2008	A*	`conf`	Probabilistic graph and hypergraph matching. CVPR Ron Zass, Amnon Shashua
2007	A*	`conf`	Latent Model Clustering and Applications to Visual Recognition. ICCV Simon Polak, Amnon Shashua
2007	A*	`conf`	pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm. ICCV Tamir Hazan, Roee Hardoon, Amnon Shashua
2006	—	`conf`	Doubly Stochastic Normalization for Spectral Clustering. NIPS Ron Zass, Amnon Shashua
2006	—	`conf`	Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization. ECCV (4) Amnon Shashua, Ron Zass, Tamir Hazan
2006	—	`conf`	Nonnegative Sparse PCA. NIPS Ron Zass, Amnon Shashua
2006	—	`conf`	Off-road Path Following using Region Classification and Geometric Projection Constraints. CVPR (1) Yaniv Alon, Andras Ferencz, Amnon Shashua
2006	J	`jnl`	The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge. J. Field Robotics Richard Mason, Jim Radford, Deepak Kumar, Robert Walters, Brian Fulkerson, Eagle Jones, David Caldwell, Jason Meltzer, Yaniv Alon, Amnon Shashua, Hiroshi Hattori, Emilio Frazzoli, Stefano Soatto
2005	—	`conf`	A Computer Vision System on a Chip: a case study from the automotive domain. CVPR Workshops Gideon P. Stein, Elchanan Rushinek, Gaby Hayun, Amnon Shashua
2005	A*	`conf`	A Unifying Approach to Hard and Probabilistic Clustering. ICCV Ron Zass, Amnon Shashua
2005	J	`jnl`	Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach. J. Mach. Learn. Res. Lior Wolf, Amnon Shashua
2005	—	`conf`	Gene Selection via a Spectral Approach. CVPR Workshops Lior Wolf, Amnon Shashua, Sayan Mukherjee
2005	A*	`conf`	Non-negative tensor factorization with applications to statistics and computer vision. ICML Amnon Shashua, Tamir Hazan
2005	A*	`conf`	Sparse Image Coding Using a 3D Non-Negative Tensor Factorization. ICCV Tamir Hazan, Simon Polak, Amnon Shashua
2004	—	`conf`	Algebraic Set Kernels with Application to Inference Over Local Image Representations. NIPS Amnon Shashua, Tamir Hazan
2004	—	`conf`	Kernel Feature Selection with Side Data Using a Spectral Approach. ECCV (3) Amnon Shashua, Lior Wolf
2004	J	`jnl`	Multiple View Geometry of General Algebraic Curves. Int. J. Comput. Vis. Jeremy Yermiyahou Kaminski, Amnon Shashua
2003	A*	`conf`	Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach. ICCV Lior Wolf, Amnon Shashua
2003	—	`conf`	Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation. CVPR (1) Lior Wolf, Amnon Shashua
2003	J	`jnl`	Learning over Sets using Kernel Principal Angles. J. Mach. Learn. Res. Lior Wolf, Amnon Shashua
2002	J	`jnl`	Guest Editorial. Int. J. Comput. Vis. Kiriakos N. Kutulakos, Amnon Shashua
2002	—	`conf`	Manifold Pursuit: A New Approach to Appearance Based Recognition. ICPR (3) Amnon Shashua, Anat Levin, Shai Avidan
2002	J	`jnl`	On Projection Matrices P Int. J. Comput. Vis. Lior Wolf, Amnon Shashua
2002	—	`conf`	Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces. ECCV (3) Anat Levin, Amnon Shashua
2002	—	`conf`	Ranking with Large Margin Principle: Two Approaches. NIPS Amnon Shashua, Anat Levin
2002	—	`conf`	Revisiting Single-View Shape Tensors: Theory and Applications. ECCV (2) Anat Levin, Amnon Shashua
2001	A*	`conf`	Affine 3-D Reconstruction from Two Projective Images of Independently Translating Planes. ICCV Lior Wolf, Amnon Shashua
2001	—	`conf`	Linear Image Coding for Regression and Classification using the Tensor-rank Principle. CVPR (1) Amnon Shashua, Anat Levin
2001	A*	`conf`	Multi-Frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects. ICCV Amnon Shashua, Anat Levin
2001	A*	`conf`	Multiple View Geometry of Non-planar Algebraic Curves. ICCV Jeremy Yermiyahou Kaminski, Michael Fryers, Amnon Shashua, Mina Teicher
2001	A*	`conf`	Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters. ICCV Assaf Zomet, Lior Wolf, Amnon Shashua
2001	A*	`conf`	On Projection Matrices and their Applications in Computer Vision. ICCV Lior Wolf, Amnon Shashua
2001	J	`jnl`	Q-Warping: Direct Computation of Quadratic Reference Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. Amnon Shashua, Yonatan Wexler
2001	J	`jnl`	The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations. IEEE Trans. Pattern Anal. Mach. Intell. Amnon Shashua, Tammy Riklin-Raviv
2001	J	`jnl`	Threading Fundamental Matrices. IEEE Trans. Pattern Anal. Mach. Intell. Shai Avidan, Amnon Shashua
2001	—	`conf`	Time-varying Shape Tensors for Scenes with Multiply Moving Points. CVPR (1) Anat Levin, Lior Wolf, Amnon Shashua
2001	—	`conf`	Two-body Segmentation from Two Perspective Views. CVPR (1) Lior Wolf, Amnon Shashua
2000	—	`conf`	3D Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen from a Moving Camera. ECCV (1) Dana Segal, Amnon Shashua
2000	—	`conf`	Homography Tensors: On Algebraic Entities that Represent Three Views of Static or Moving Planar Points. ECCV (1) Amnon Shashua, Lior Wolf
2000	B	`conf`	Join Tensors: On 3D-to-3D Alignment of Dynamic Sets. ICPR Lior Wolf, Amnon Shashua, Yonatan Wexler
2000	J	`jnl`	Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion. IEEE Trans. Pattern Anal. Mach. Intell. Gideon P. Stein, Amnon Shashua
2000	—	`conf`	On Calibration and Reconstruction from Planar Curves. ECCV (1) Jeremy Yermiyahou Kaminski, Amnon Shashua
2000	—	`conf`	On the Reprojection of 3D and 2D Scenes Without Explicit Model Selection. ECCV (1) Amnon Shashua, Shai Avidan
2000	—	`conf`	On the Structure and Properties of the Quadrifocal Tensor. ECCV (1) Amnon Shashua, Lior Wolf
2000	A*	`conf`	On the Synthesis of Dynamic Scenes from Reference Views. CVPR Yonatan Wexler, Amnon Shashua
2000	J	`jnl`	Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence. IEEE Trans. Pattern Anal. Mach. Intell. Shai Avidan, Amnon Shashua
1999	J	`jnl`	On Degeneracy of Linear Reconstruction From Three Views: Linear Line Complex and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Gideon P. Stein, Amnon Shashua
1999	J	`jnl`	On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant. Neural Process. Lett. Amnon Shashua
1999	A*	`conf`	Q-Warping: Direct Computation of Quadratic Reference Surfaces. CVPR Yonatan Wexler, Amnon Shashua
1999	A*	`conf`	The Quotient Image: Class Based Recognition and Synthesis under Varying Illumination Conditions. CVPR Tammy Riklin-Raviv, Amnon Shashua
1999	A*	`conf`	Trajectory Triangulation of Lines: Reconstruction of a 3D point Moving along a Line from a Monocular Image Sequence. CVPR Shai Avidan, Amnon Shashua
1999	A*	`conf`	Trajectory Triangulation over Conic Sections. ICCV Amnon Shashua, Shai Avidan, Michael Werman
1998	A*	`conf`	Ambiguity in Reconstruction from Images of Six Points. ICCV Stephen J. Maybank, Amnon Shashua
1998	A*	`conf`	Direct Estimation of Motion and Extended Scene Structure from a Moving Stereo Rig. CVPR Gideon P. Stein, Amnon Shashua
1998	J	`jnl`	Novel View Synthesis by Cascading Trilinear Tensors. IEEE Trans. Vis. Comput. Graph. Shai Avidan, Amnon Shashua
1998	A	`conf`	Omni-Rig sensors: what can be done with a non-rigid vision platform? WACV Amnon Shashua
1998	—	`conf`	On Degeneracy of Linear Reconstruction from Three Views: Linear Line Complex and Applications. ECCV (2) Gideon P. Stein, Amnon Shashua
1998	—	`conf`	Tensor Embedding of the Fundamental Matrix. SMILE Shai Avidan, Amnon Shashua
1998	—	`conf`	Threading Fundamental Matrices. ECCV (1) Shai Avidan, Amnon Shashua
1997	B	`conf`	Image-based view synthesis by combining trilinear tensors and learning techniques. VRST Shai Avidan, Theodoros Evgeniou, Amnon Shashua, Tomaso A. Poggio
1997	A*	`conf`	Model-based brightness constraints: on direct estimation of structure and motion. CVPR Gideon P. Stein, Amnon Shashua
1997	A*	`conf`	Novel view synthesis in tensor space. CVPR Shai Avidan, Amnon Shashua
1997	J	`jnl`	On Photometric Issues in 3D Visual Recognition from a Single 2D Image. Int. J. Comput. Vis. Amnon Shashua
1997	J	`jnl`	The Quadric Reference Surface: Theory and Applications. Int. J. Comput. Vis. Amnon Shashua, Sebastian Tölg
1997	—	`conf`	Trilinear Tensor: The Fundamental Construct of Multiple-view Geometry and Its Applications. AFPAC Amnon Shashua
1996	—	`conf`	Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors. ECCV (2) Daphna Weinshall, Michael Werman, Amnon Shashua
1996	J	`jnl`	Relative Affine Structure: Canonical Model for 3D From 2D Geometry and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Amnon Shashua, Nassir Navab
1996	A*	`conf`	Robust Recovery of Camera Rotation from Three Frames. CVPR Benny Rousso, Shai Avidan, Amnon Shashua, Shmuel Peleg
1996	—	`conf`	The Rank 4 Constraint in Multiple (>=3) View Geometry. ECCV (2) Amnon Shashua, Shai Avidan
1995	J	`jnl`	Algebraic Functions For Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Amnon Shashua
1995	B	`conf`	Multiple-View Geometry and Photometry. ACCV Amnon Shashua
1995	A*	`conf`	The Study of 3D-from-2D Using Elimination. ICCV Michael Werman, Amnon Shashua
1995	A*	`conf`	Trilinearity of Three Perspective Views and its Associated Tensor. ICCV Amnon Shashua, Michael Werman
1994	J	`jnl`	Projective Structure from Uncalibrated Images: Structure From Motion and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Amnon Shashua
1994	A*	`conf`	Relative affine structure: theory and application to 3D reconstruction from perspective views. CVPR Amnon Shashua, Nassir Navab
1994	—	`conf`	The Quadric Reference Surface: Applications in Registering Views of Complex 3D Objects. ECCV (2) Amnon Shashua, Sebastian Tölg
1994	—	`conf`	Trilinearity in Visual Recognition by Alignment. ECCV (1) Amnon Shashua
1993	—	`conf`	On Geomatric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views. Applications of Invariance in Computer Vision Amnon Shashua
1993	A*	`conf`	Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition. ICCV Amnon Shashua
1991	—	`conf`	Illumination and View Position in 3D Visual Recognition. NIPS Amnon Shashua
1990	—	`conf`	Grouping Contours by Iterated Pairing Networks. NIPS Amnon Shashua, Shimon Ullman
1988	A*	`conf`	Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network. ICCV Amnon Shashua, Shimon Ullman