Daphna Weinshall

158 papers A* 34A 1B 4C 2Journal 62Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Forget Me Not: Fighting Local Overfitting With Knowledge Fusion and Distillation. IEEE Trans. Pattern Anal. Mach. Intell. Uri Stern, Eli Corn, Daphna Weinshall
2025	J	`jnl`	Active Learning with a Noisy Annotator. CoRR Netta Shafir, Guy Hacohen, Daphna Weinshall
2025	J	`jnl`	Forget Me Not: Fighting Local Overfitting with Knowledge Fusion and Distillation. CoRR Uri Stern, Eli Corn, Daphna Weinshall
2025	A*	`conf`	On Local Overfitting and Forgetting in Deep Neural Networks. AAAI Uri Stern, Tomer Yaacoby, Daphna Weinshall
2024	J	`jnl`	DCoM: Active Learning for All Learners. CoRR Inbal Mishal, Daphna Weinshall
2024	J	`jnl`	On Local Overfitting and Forgetting in Deep Neural Networks. CoRR Uri Stern, Tomer Yaacoby, Daphna Weinshall
2024	J	`jnl`	TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning. CoRR Shahar Shaul-Ariel, Daphna Weinshall
2024	A*	`conf`	United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit. AAAI Uri Stern, Daniel Shwartz, Daphna Weinshall
2023	A*	`conf`	How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. NeurIPS Guy Hacohen, Daphna Weinshall
2023	J	`jnl`	How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. CoRR Guy Hacohen, Daphna Weinshall
2023	J	`jnl`	Pruning the Unlabeled Data to Improve Semi-Supervised Learning. CoRR Guy Hacohen, Daphna Weinshall
2023	J	`jnl`	Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs. CoRR Uri Stern, Daphna Weinshall
2023	J	`jnl`	Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario. CoRR Noam Fluss, Guy Hacohen, Daphna Weinshall
2023	J	`jnl`	United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit. CoRR Uri Stern, Daniel Shwartz, Daphna Weinshall
2022	A*	`conf`	Active Learning Through a Covering Lens. NeurIPS Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall
2022	J	`jnl`	Active Learning Through a Covering Lens. CoRR Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall
2022	A*	`conf`	Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. ICML Guy Hacohen, Avihu Dekel, Daphna Weinshall
2022	J	`jnl`	Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. CoRR Guy Hacohen, Avihu Dekel, Daphna Weinshall
2022	J	`jnl`	Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks. J. Mach. Learn. Res. Guy Hacohen, Daphna Weinshall
2022	J	`jnl`	The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels. CoRR Daniel Shwartz, Uri Stern, Daphna Weinshall
2022	—	`conf`	The Grammar-Learning Trajectories of Neural Language Models. ACL (1) Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
2021	J	`jnl`	Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias. CoRR Guy Hacohen, Daphna Weinshall
2021	J	`jnl`	More Is More - Narrowing the Generalization Gap by Adding Classification Heads. CoRR Roee Cates, Daphna Weinshall
2021	J	`jnl`	The Grammar-Learning Trajectories of Neural Language Models. CoRR Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
2020	J	`jnl`	Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. CoRR Boaz Lerner, Guy Shiran, Daphna Weinshall
2020	B	`conf`	Generative Latent Implicit Conditional Optimization when Learning from Small Sample. ICPR Idan Azuri, Daphna Weinshall
2020	J	`jnl`	Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model. CoRR Idan Azuri, Daphna Weinshall
2020	A*	`conf`	Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets. ICML Guy Hacohen, Leshem Choshen, Daphna Weinshall
2020	B	`conf`	Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. ICPR Guy Shiran, Daphna Weinshall
2020	J	`jnl`	Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample. CoRR Itamar Winter, Daphna Weinshall
2019	J	`jnl`	All Neural Networks are Created Equal. CoRR Guy Hacohen, Daphna Weinshall
2019	J	`jnl`	Blurred Images Lead to Bad Local Minima. CoRR Gal Katzhendler, Daphna Weinshall
2019	J	`jnl`	Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. CoRR Guy Shiran, Daphna Weinshall
2019	A*	`conf`	On The Power of Curriculum Learning in Training Deep Networks. ICML Guy Hacohen, Daphna Weinshall
2019	J	`jnl`	On The Power of Curriculum Learning in Training Deep Networks. CoRR Guy Hacohen, Daphna Weinshall
2019	J	`jnl`	Potential upside of high initial visual acuity? Proc. Natl. Acad. Sci. USA Gal Katzhendler, Daphna Weinshall
2018	—	`conf`	ARIMA-based motor anomaly detection in schizophrenia inpatients. BHI Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled
2018	A*	`conf`	Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. EMNLP Haim Dubossarsky, Eitan Grossman, Daphna Weinshall
2018	A*	`conf`	Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. ICML Daphna Weinshall, Gad Cohen, Dan Amir
2018	J	`jnl`	Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. CoRR Daphna Weinshall, Gad Cohen, Dan Amir
2018	J	`jnl`	Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images. CoRR Matan Ben-Yosef, Daphna Weinshall
2018	J	`jnl`	Theory of Curriculum Learning, with Convex Loss Functions. CoRR Daphna Weinshall, Dan Amir
2018	C	`conf`	Topic models for automated motor analysis in schizophrenia patients. BSN Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
2017	—	`conf`	Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. LIDTA@PKDD/ECML Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall
2017	J	`jnl`	Distance-based Confidence Score for Neural Network Classifiers. CoRR Amit Mandelbaum, Daphna Weinshall
2017	J	`jnl`	Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. CoRR Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall
2017	A*	`conf`	Hidden Layers in Perceptual Learning. CVPR Gad Cohen, Daphna Weinshall
2017	B	`conf`	Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions. FG Daniel Hadar, Talia Tron, Daphna Weinshall
2017	—	`conf`	Optimal Linear Imputation with a Convergence Guarantee. ICPRAM (Revised Selected Papers) Yehezkel S. Resheff, Daphna Weinshall
2017	C	`conf`	Optimized Linear Imputation. ICPRAM Yehezkel S. Resheff, Daphna Weinshall
2017	A*	`conf`	Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. EMNLP Haim Dubossarsky, Daphna Weinshall, Eitan Grossman
2017	—	`conf`	Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. MobiHealth Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall
2016	—	`conf`	Differentiating facial incongruity and flatness in schizophrenia, using structured light camera data. EMBC Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
2016	—	`conf`	Facial expressions and flat affect in schizophrenia, automatic analysis from depth camera data. BHI Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
2016	J	`jnl`	Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels. CoRR Nomi Vinokurov, Daphna Weinshall
2016	J	`jnl`	Topic modeling of behavioral modes using sensor data. Int. J. Data Sci. Anal. Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
2015	J	`jnl`	A Cheap System for Vehicle Speed Detection. CoRR Chaim Ginzburg, Amit Raphael, Daphna Weinshall
2015	—	`conf`	Automated Facial Expressions Analysis in Schizophrenia: A Continuous Dynamic Approach. MindCare Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
2015	B	`conf`	Matrix factorization approach to behavioral mode analysis from acceleration data. DSAA Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
2015	—	`conf`	Prosodic Analysis of Speech and the Underlying Mental State. MindCare Roi Kliper, Shirley Portuguese, Daphna Weinshall
2015	—	`conf`	Quantifying Hypomimia in Parkinson Patients Using a Depth Camera. MindCare Nomi Vinokurov, David Arkadir, Eduard Linetsky, Hagai Bergman, Daphna Weinshall
2015	—	`conf`	Quantifying Levodopa-Induced Dyskinesia Using Depth Camera. ICCV Workshops Maria Dyshel, David Arkadir, Hagai Bergman, Daphna Weinshall
2015	J	`jnl`	Topic Modeling of Behavioral Modes Using Sensor Data. CoRR Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
2013	—	`conf`	Hierarchical Regularization Cascade for Joint Learning. ICML (3) Alon Zweig, Daphna Weinshall
2013	—	`conf`	LDA Topic Model with Soft Assignment of Descriptors to Words. ICML (3) Daphna Weinshall, Gal Levi, Dmitri Hanukaev
2013	—	`conf`	Modeling Musical Influence with Topic Models. ICML (2) Uri Shalit, Daphna Weinshall, Gal Chechik
2012	J	`jnl`	Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel
2012	—	`ch.`	DIRAC: Detection and Identification of Rare Audio-Visual Events. Detection and Identification of Rare Audiovisual Cues Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc Van Gool, Rufin Vogels, Stefan Wabnik, Daphna Weinshall
2012	—	`book`	Detection and Identification of Rare Audiovisual Cues Daphna Weinshall, Jörn Anemüller, Luc Van Gool
2012	—	`ch.`	Identification of Novel Classes in Object Class Recognition. Detection and Identification of Rare Audiovisual Cues Alon Zweig, Dagan Eshar, Daphna Weinshall
2012	—	`ch.`	Identifying Surprising Events in Video Using Bayesian Topic Models. Detection and Identification of Rare Audiovisual Cues Avishai Hendel, Daphna Weinshall, Shmuel Peleg
2012	J	`jnl`	Online Learning in the Embedded Manifold of Low-rank Matrices. J. Mach. Learn. Res. Uri Shalit, Daphna Weinshall, Gal Chechik
2011	A*	`conf`	Extracting foreground masks towards object recognition. ICCV Amir Rosenfeld, Daphna Weinshall
2011	A	`conf`	Monaural Azimuth Localization Using Spectral Dynamics of Speech. INTERSPEECH Roi Kliper, Hendrik Kayser, Daphna Weinshall, Israel Nelken, Jörn Anemüller
2010	J	`jnl`	Differential category learning processes: The neural basis of comparison-based learning and induction. NeuroImage Rubi Hammer, André Brechmann, Frank W. Ohl, Daphna Weinshall, Shaul Hochstein
2010	—	`conf`	Evidence for depression and schizophrenia in speech prosody. ExLing Roi Kliper, Yonatan Vaizman, Daphna Weinshall, Shirley Portuguese
2010	—	`conf`	Identifying Surprising Events in Videos Using Bayesian Topic Models. ACCV (3) Avishai Hendel, Daphna Weinshall, Shmuel Peleg
2010	—	`conf`	Online Learning in The Manifold of Low-Rank Matrices. NIPS Uri Shalit, Daphna Weinshall, Gal Chechik
2010	—	`conf`	The story of a single cell: Peeking into the semantics of spikes. CIP Roi Kliper, Thomas Serre, Daphna Weinshall, Israel Nelken
2009	J	`jnl`	Category learning from equivalence constraints. Cogn. Process. Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna Weinshall
2008	—	`conf`	Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree. NIPS Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Brügge Jimison, Frank W. Ohl, Misha Pavel
2008	J	`jnl`	Efficient Learning of Relational Object Class Models. Int. J. Comput. Vis. Aharon Bar-Hillel, Daphna Weinshall
2008	J	`jnl`	Motion Segmentation and Depth Ordering Using an Occlusion Detector. IEEE Trans. Pattern Anal. Mach. Intell. Doron Feldman, Daphna Weinshall
2008	—	`conf`	The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality. MMVR Anna Sorkin, Daphna Weinshall, Avi Peled
2007	—	`conf`	Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments. BVAI Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna Weinshall
2007	A*	`conf`	Exploiting Object Hierarchy: Combining Models from Different Category Levels. ICCV Alon Zweig, Daphna Weinshall
2007	—	`conf`	Image Classification from Small Sample, with Distance Learning and Feature Selection. ISVC (2) Daphna Weinshall, Lior Zamir
2007	A*	`conf`	Learning distance function by coding similarity. ICML Aharon Bar-Hillel, Daphna Weinshall
2006	—	`conf`	Cognitive Authentication Schemes Safe Against Spyware (Short Paper). S&P Daphna Weinshall
2006	A*	`conf`	Learning a kernel function for classification with small training samples. ICML Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
2006	—	`conf`	Motion Segmentation Using an Occlusion Detector. WDV Doron Feldman, Daphna Weinshall
2006	—	`conf`	Subordinate class recognition using relational object models. NIPS Aharon Bar-Hillel, Daphna Weinshall
2005	—	`conf`	Analyzing Auditory Neurons by Learning Distance Functions. NIPS Inna Weiner, Tomer Hertz, Israel Nelken, Daphna Weinshall
2005	A*	`conf`	Efficient Learning of Relational Object Class Models. ICCV Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2005	J	`jnl`	Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
2005	—	`conf`	Object Class Recognition by Boosting a Part-Based Model. CVPR (1) Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2005	A*	`conf`	Realtime IBR with Omnidirectional Crossed-Slits Projection. ICCV Doron Feldman, Daphna Weinshall
2004	A*	`conf`	Boosting margin based distance functions for clustering. ICML Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
2004	—	`conf`	Learning Distance Functions for Image Retrieval. CVPR (2) Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
2004	—	`conf`	Passwords you'll never forget, but can't recall. CHI Extended Abstracts Daphna Weinshall, Scott Kirkpatrick
2003	—	`conf`	Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
2003	—	`conf`	Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall
2003	A*	`conf`	Learning Distance Functions using Equivalence Relations. ICML Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
2003	A*	`conf`	Learning with Equivalence Constraints and the Relation to Multiclass Learning. COLT Aharon Bar-Hillel, Daphna Weinshall
2003	J	`jnl`	Mosaicing New Views: The Crossed-Slits Projection. IEEE Trans. Pattern Anal. Mach. Intell. Assaf Zomet, Doron Feldman, Shmuel Peleg, Daphna Weinshall
2003	A*	`conf`	On the Epipolar Geometry of the Crossed-Slits Projection. ICCV Doron Feldman, Tomás Pajdla, Daphna Weinshall
2002	—	`conf`	Adjustment Learning and Relevant Component Analysis. ECCV (4) Noam Shental, Tomer Hertz, Daphna Weinshall, Misha Pavel
2002	—	`conf`	New View Generation with a Bi-centric Camera. ECCV (1) Daphna Weinshall, Mi-Suen Lee, Tomás Brodský, M. Trajkovic, Doron Feldman
2001	—	`conf`	A Computer Vision System for On-Screen Item Selection by Finger Pointing. CVPR (1) Mi-Suen Lee, Daphna Weinshall, Eric Cohen-Solal
2001	J	`jnl`	Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization. IEEE Trans. Pattern Anal. Mach. Intell. Yoram Gdalyahu, Daphna Weinshall, Michael Werman
2000	J	`jnl`	Classification with Nonmetric Distances: Image Retrieval and Class Representation. IEEE Trans. Pattern Anal. Mach. Intell. David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
2000	A*	`conf`	Perceptual Grouping and Segmentation by Stochastic Clustering. CVPR Yoram Gdalyahu, Noam Shental, Daphna Weinshall
1999	J	`jnl`	Flexible Syntactic Matching of Curves and Its Application to Automatic Hierarchical Classification of Silhouettes. IEEE Trans. Pattern Anal. Mach. Intell. Yoram Gdalyahu, Daphna Weinshall
1999	J	`jnl`	Minimal Decomposition of Model-Based Invariants. J. Math. Imaging Vis. Daphna Weinshall
1999	J	`jnl`	Motion of disturbances: detection and tracking of multi-body non-rigid motion. Mach. Vis. Appl. Gilad Halevy, Daphna Weinshall
1999	A*	`conf`	Stochastic Image Segmentation by Typical Cuts. CVPR Yoram Gdalyahu, Daphna Weinshall, Michael Werman
1998	—	`conf`	A Randomized Algorithm for Pairwise Clustering. NIPS Yoram Gdalyahu, Daphna Weinshall, Michael Werman
1998	A*	`conf`	Automatic Hierarchical Classification of Silhouettes of 3D Objects. CVPR Yoram Gdalyahu, Daphna Weinshall
1998	—	`conf`	Classification in Non-Metric Spaces. NIPS Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu
1998	A*	`conf`	Condensing Image Databases when Retrieval is Based on Non-Metric Distances. ICCV David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
1998	J	`jnl`	Dual Computation of Projective Shape and Camera Positions from Multiple Images. Int. J. Comput. Vis. Stefan Carlsson, Daphna Weinshall
1998	—	`conf`	Flexible Syntactic Matching of Curves. ECCV (2) Yoram Gdalyahu, Daphna Weinshall
1998	—	`conf`	From Ordinal to Euclidean Reconstruction with Partial Scene Calibration. SMILE Daphna Weinshall, P. Anandan, Michal Irani
1998	—	`conf`	From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications. ECCV (2) Michal Irani, P. Anandan, Daphna Weinshall
1998	—	`conf`	Mechanisms of Generalization in Perceptual Learning. NIPS Zili Liu, Daphna Weinshall
1997	A*	`conf`	Motion of Disturbances: Detection and Tracking of multi-Body non-Rigid Motion. CVPR Gilad Halevy, Daphna Weinshall
1997	J	`jnl`	On View Likelihood and Stability. IEEE Trans. Pattern Anal. Mach. Intell. Daphna Weinshall, Michael Werman
1997	J	`jnl`	Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences. Comput. Vis. Image Underst. Hagit Zabrodsky, Daphna Weinshall
1996	—	`conf`	Complexity of Indexing: Efficient and Learnable Large Database Indexing. ECCV (1) Michael Werman, Daphna Weinshall
1996	J	`jnl`	Distance Metric Between 3D Models and 2D Images for Recognition and Classification. IEEE Trans. Pattern Anal. Mach. Intell. Ronen Basri, Daphna Weinshall
1996	—	`conf`	Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors. ECCV (2) Daphna Weinshall, Michael Werman, Amnon Shashua
1996	—	`conf`	Measures for Silhouettes Resemblance and Representative Silhouettes of Curved Objects. ECCV (2) Yoram Gdalyahu, Daphna Weinshall
1995	J	`jnl`	Linear and Incremental Acquisition of Invariant Shape Models From Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. Daphna Weinshall, Carlo Tomasi
1995	J	`jnl`	Similarity and Affine Invariant Distances Between 2D Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. Michael Werman, Daphna Weinshall
1994	J	`jnl`	Local shape approximation from shading. J. Math. Imaging Vis. Daphna Weinshall
1994	—	`conf`	Shape from motion algorithms: a comparative analysis of scaled orthography and perspective. ECCV (1) Boubakeur Boufama, Daphna Weinshall, Michael Werman
1994	—	`conf`	Similarity and affine distance between 2D point sets. ICPR (1) Michael Werman, Daphna Weinshall
1994	—	`conf`	Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) Daphna Weinshall, Michael Werman, Naftali Tishby
1994	—	`conf`	Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision Daphna Weinshall, Michael Werman, Naftali Tishby
1994	—	`conf`	Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. ECCV (1) Hagit Zabrodsky, Daphna Weinshall
1993	A*	`conf`	3D object recognition by indexing structural invariants from multiple views. ICCV Rakesh Mohan, Daphna Weinshall, Ramesh R. Sarukkai
1993	A*	`conf`	Distance metric between 3D models and 2D images for recognition and classification. CVPR Daphna Weinshall, Ronen Basri
1993	A*	`conf`	Linear and incremental acquisition of invariant shape models from image sequences. ICCV Daphna Weinshall, Carlo Tomasi
1993	—	`conf`	Model-based Invariant Functions and Their Use for Recognition. Applications of Invariance in Computer Vision Daphna Weinshall
1993	J	`jnl`	Model-based invariants for 3-D vision. Int. J. Comput. Vis. Daphna Weinshall
1993	A*	`conf`	Model-based invariants for 3D vision. CVPR Daphna Weinshall
1992	A*	`conf`	Local shape approximation from shading. CVPR Daphna Weinshall
1992	J	`jnl`	Shortcuts in shape classification from two images. CVGIP Image Underst. Daphna Weinshall
1991	J	`jnl`	AAAI-90 Workshop on Qualitative Vision. AI Mag. William Lim, Philip Kahn, Daphna Weinshall, Andrew Blake
1991	J	`jnl`	Direct Computation of Qualitative 3-D Shape and Motion Invariants. IEEE Trans. Pattern Anal. Mach. Intell. Daphna Weinshall
1990	A*	`conf`	Direct computation of qualitative 3D shape and motion invariants. ICCV Daphna Weinshall
1990	J	`jnl`	Qualitative Depth from Stereo, with Applications. Comput. Vis. Graph. Image Process. Daphna Weinshall
1990	—	`conf`	Qualitative Structure From Motion. NIPS Daphna Weinshall
1989	—	`conf`	A Self-Organizing Multiple-View Representations of 3D Objects. NIPS Daphna Weinshall, Shimon Edelman, Heinrich H. Bülthoff
1989	J	`jnl`	Integration of vision modules and labeling of surface discontinuities. IEEE Trans. Syst. Man Cybern. Edward B. Gamble, Davi Geiger, Tomaso A. Poggio, Daphna Weinshall
1988	A*	`conf`	Application Of Qualitative Depth And Shape From Stereo. ICCV Daphna Weinshall
1988	J	`jnl`	Labeling edges with a linear network: An integration of low-level vision modules. Neural Networks Davi Geiger, Daphna Weinshall
1988	A*	`conf`	Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence. CVPR Daphna Weinshall