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Daphna Weinshall
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- affiliation: Hebrew University of Jerusalem, Israel
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2020 – today
- 2024
- [c91]Uri Stern, Daniel Shwartz, Daphna Weinshall:
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit. AAAI 2024: 15075-15082 - [i28]Shahar Shaul-Ariel, Daphna Weinshall:
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning. CoRR abs/2407.00673 (2024) - [i27]Inbal Mishal, Daphna Weinshall:
DCoM: Active Learning for All Learners. CoRR abs/2407.01804 (2024) - 2023
- [c90]Guy Hacohen, Daphna Weinshall:
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. NeurIPS 2023 - [i26]Guy Hacohen, Daphna Weinshall:
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. CoRR abs/2306.03543 (2023) - [i25]Guy Hacohen
, Daphna Weinshall:
Pruning the Unlabeled Data to Improve Semi-Supervised Learning. CoRR abs/2308.14058 (2023) - [i24]Noam Fluss, Guy Hacohen
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario. CoRR abs/2308.14119 (2023) - [i23]Uri Stern, Daniel Shwartz, Daphna Weinshall:
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit. CoRR abs/2310.11077 (2023) - [i22]Uri Stern, Daphna Weinshall:
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs. CoRR abs/2310.11094 (2023) - 2022
- [j30]Guy Hacohen, Daphna Weinshall:
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks. J. Mach. Learn. Res. 23: 155:1-155:46 (2022) - [c89]Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend:
The Grammar-Learning Trajectories of Neural Language Models. ACL (1) 2022: 8281-8297 - [c88]Guy Hacohen, Avihu Dekel, Daphna Weinshall:
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. ICML 2022: 8175-8195 - [c87]Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall:
Active Learning Through a Covering Lens. NeurIPS 2022 - [i21]Guy Hacohen, Avihu Dekel, Daphna Weinshall:
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. CoRR abs/2202.02794 (2022) - [i20]Ofer Yehuda, Avihu Dekel, Guy Hacohen
Active Learning Through a Covering Lens. CoRR abs/2205.11320 (2022) - [i19]Daniel Shwartz, Uri Stern, Daphna Weinshall:
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels. CoRR abs/2210.00583 (2022) - 2021
- [i18]Roee Cates, Daphna Weinshall:
More Is More - Narrowing the Generalization Gap by Adding Classification Heads. CoRR abs/2102.04924 (2021) - [i17]Guy Hacohen, Daphna Weinshall:
Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias. CoRR abs/2105.05553 (2021) - [i16]Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend:
The Grammar-Learning Trajectories of Neural Language Models. CoRR abs/2109.06096 (2021) - 2020
- [c86]Guy Hacohen, Leshem Choshen, Daphna Weinshall:
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets. ICML 2020: 3950-3960 - [c85]Guy Shiran, Daphna Weinshall:
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. ICPR 2020: 4728-4735 - [c84]Idan Azuri, Daphna Weinshall:
Generative Latent Implicit Conditional Optimization when Learning from Small Sample. ICPR 2020: 8584-8591 - [i15]Idan Azuri, Daphna Weinshall:
Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model. CoRR abs/2003.14297 (2020) - [i14]Itamar Winter, Daphna Weinshall:
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample. CoRR abs/2011.12942 (2020) - [i13]Boaz Lerner, Guy Shiran, Daphna Weinshall:
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. CoRR abs/2012.00504 (2020)
2010 – 2019
- 2019
- [j29]Gal Katzhendler, Daphna Weinshall:
Potential upside of high initial visual acuity? Proc. Natl. Acad. Sci. USA 116(38): 18765-18766 (2019) - [c83]Guy Hacohen, Daphna Weinshall:
On The Power of Curriculum Learning in Training Deep Networks. ICML 2019: 2535-2544 - [i12]Gal Katzhendler, Daphna Weinshall:
Blurred Images Lead to Bad Local Minima. CoRR abs/1901.10788 (2019) - [i11]Guy Hacohen, Daphna Weinshall:
On The Power of Curriculum Learning in Training Deep Networks. CoRR abs/1904.03626 (2019) - [i10]Guy Hacohen, Daphna Weinshall:
All Neural Networks are Created Equal. CoRR abs/1905.10854 (2019) - [i9]Guy Shiran, Daphna Weinshall:
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. CoRR abs/1912.02678 (2019) - 2018
- [c82]Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled:
ARIMA-based motor anomaly detection in schizophrenia inpatients. BHI 2018: 430-433 - [c81]Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall:
Topic models for automated motor analysis in schizophrenia patients. BSN 2018: 140-143 - [c80]Haim Dubossarsky, Eitan Grossman
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. EMNLP 2018: 1732-1740 - [c79]Daphna Weinshall, Gad Cohen, Dan Amir:
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. ICML 2018: 5235-5243 - [i8]Daphna Weinshall, Gad Cohen:
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. CoRR abs/1802.03796 (2018) - [i7]Matan Ben-Yosef, Daphna Weinshall:
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images. CoRR abs/1808.10356 (2018) - [i6]Daphna Weinshall, Dan Amir:
Theory of Curriculum Learning, with Convex Loss Functions. CoRR abs/1812.03472 (2018) - 2017
- [c78]Gad Cohen, Daphna Weinshall:
Hidden Layers in Perceptual Learning. CVPR 2017: 5349-5357 - [c77]Haim Dubossarsky, Daphna Weinshall, Eitan Grossman
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. EMNLP 2017: 1136-1145 - [c76]Daniel Hadar, Talia Tron, Daphna Weinshall:
Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions. FG 2017: 727-734 - [c75]Yehezkel S. Resheff, Daphna Weinshall:
Optimized Linear Imputation. ICPRAM 2017: 17-25 - [c74]Yehezkel S. Resheff, Daphna Weinshall:
Optimal Linear Imputation with a Convergence Guarantee. ICPRAM (Revised Selected Papers) 2017: 62-79 - [c73]Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall:
Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. MobiHealth 2017: 242-249 - [c72]Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall:
Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. LIDTA@PKDD/ECML 2017: 141-151 - [i5]Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall:
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. CoRR abs/1704.06062 (2017) - [i4]Amit Mandelbaum, Daphna Weinshall:
Distance-based Confidence Score for Neural Network Classifiers. CoRR abs/1709.09844 (2017) - 2016
- [j28]Yehezkel S. Resheff
Topic modeling of behavioral modes using sensor data. Int. J. Data Sci. Anal. 1(1): 51-60 (2016) - [c71]Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall:
Facial expressions and flat affect in schizophrenia, automatic analysis from depth camera data. BHI 2016: 220-223 - [c70]Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall:
Differentiating facial incongruity and flatness in schizophrenia, using structured light camera data. EMBC 2016: 2427-2430 - [i3]Nomi Vinokurov, Daphna Weinshall:
Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels. CoRR abs/1604.06242 (2016) - 2015
- [c69]Yehezkel S. Resheff, Shay Rotics
Matrix factorization approach to behavioral mode analysis from acceleration data. DSAA 2015: 1-6 - [c68]Maria Dyshel, David Arkadir, Hagai Bergman, Daphna Weinshall:
Quantifying Levodopa-Induced Dyskinesia Using Depth Camera. ICCV Workshops 2015: 511-518 - [c67]Roi Kliper, Shirley Portuguese, Daphna Weinshall:
Prosodic Analysis of Speech and the Underlying Mental State. MindCare 2015: 52-62 - [c66]Nomi Vinokurov, David Arkadir, Eduard Linetsky, Hagai Bergman, Daphna Weinshall:
Quantifying Hypomimia in Parkinson Patients Using a Depth Camera. MindCare 2015: 63-71 - [c65]Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall:
Automated Facial Expressions Analysis in Schizophrenia: A Continuous Dynamic Approach. MindCare 2015: 72-81 - [i2]Chaim Ginzburg, Amit Raphael, Daphna Weinshall:
A Cheap System for Vehicle Speed Detection. CoRR abs/1501.06751 (2015) - [i1]Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall:
Topic Modeling of Behavioral Modes Using Sensor Data. CoRR abs/1511.05082 (2015) - 2013
- [c64]Alon Zweig, Daphna Weinshall:
Hierarchical Regularization Cascade for Joint Learning. ICML (3) 2013: 37-45 - [c63]Uri Shalit, Daphna Weinshall, Gal Chechik:
Modeling Musical Influence with Topic Models. ICML (2) 2013: 244-252 - [c62]Daphna Weinshall, Gal Levi, Dmitri Hanukaev:
LDA Topic Model with Soft Assignment of Descriptors to Words. ICML (3) 2013: 711-719 - 2012
- [j27]Uri Shalit, Daphna Weinshall, Gal Chechik:
Online Learning in the Embedded Manifold of Low-rank Matrices. J. Mach. Learn. Res. 13: 429-458 (2012) - [j26]Daphna Weinshall, Alon Zweig, Hynek Hermansky
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1886-1901 (2012) - [p3]Jörn Anemüller, Barbara Caputo
DIRAC: Detection and Identification of Rare Audio-Visual Events. Detection and Identification of Rare Audiovisual Cues 2012: 3-35 - [p2]Alon Zweig, Dagan Eshar, Daphna Weinshall:
Identification of Novel Classes in Object Class Recognition. Detection and Identification of Rare Audiovisual Cues 2012: 47-55 - [p1]Avishai Hendel, Daphna Weinshall, Shmuel Peleg
Identifying Surprising Events in Video Using Bayesian Topic Models. Detection and Identification of Rare Audiovisual Cues 2012: 97-105 - [e1]Daphna Weinshall, Jörn Anemüller, Luc Van Gool:
Detection and Identification of Rare Audiovisual Cues. Studies in Computational Intelligence 384, Springer 2012, ISBN 978-3-642-24033-1 [contents] - 2011
- [c61]Amir Rosenfeld, Daphna Weinshall:
Extracting foreground masks towards object recognition. ICCV 2011: 1371-1378 - [c60]Roi Kliper, Hendrik Kayser, Daphna Weinshall, Israel Nelken, Jörn Anemüller:
Monaural Azimuth Localization Using Spectral Dynamics of Speech. INTERSPEECH 2011: 33-36 - 2010
- [j25]Rubi Hammer, André Brechmann
Differential category learning processes: The neural basis of comparison-based learning and induction. NeuroImage 52(2): 699-709 (2010) - [c59]Avishai Hendel, Daphna Weinshall, Shmuel Peleg
Identifying Surprising Events in Videos Using Bayesian Topic Models. ACCV (3) 2010: 448-459 - [c58]Roi Kliper, Thomas Serre, Daphna Weinshall, Israel Nelken
The story of a single cell: Peeking into the semantics of spikes. CIP 2010: 281-286 - [c57]Roi Kliper, Yonatan Vaizman, Daphna Weinshall, Shirley Portuguese:
Evidence for depression and schizophrenia in speech prosody. ExLing 2010: 85-88 - [c56]Uri Shalit, Daphna Weinshall, Gal Chechik:
Online Learning in The Manifold of Low-Rank Matrices. NIPS 2010: 2128-2136
2000 – 2009
- 2009
- [j24]Rubi Hammer, Tomer Hertz
Category learning from equivalence constraints. Cogn. Process. 10(3): 211-232 (2009) - 2008
- [j23]Aharon Bar-Hillel
Efficient Learning of Relational Object Class Models. Int. J. Comput. Vis. 77(1-3): 175-198 (2008) - [j22]Doron Feldman, Daphna Weinshall:
Motion Segmentation and Depth Ordering Using an Occlusion Detector. IEEE Trans. Pattern Anal. Mach. Intell. 30(7): 1171-1185 (2008) - [c55]Anna Sorkin, Daphna Weinshall, Avi Peled:
The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality. MMVR 2008: 475-480 - [c54]Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Brügge Jimison, Frank W. Ohl, Misha Pavel:
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree. NIPS 2008: 1745-1752 - 2007
- [c53]Rubi Hammer, Tomer Hertz
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments. BVAI 2007: 264-276 - [c52]Alon Zweig, Daphna Weinshall:
Exploiting Object Hierarchy: Combining Models from Different Category Levels. ICCV 2007: 1-8 - [c51]Aharon Bar-Hillel, Daphna Weinshall:
Learning distance function by coding similarity. ICML 2007: 65-72 - [c50]Daphna Weinshall, Lior Zamir:
Image Classification from Small Sample, with Distance Learning and Feature Selection. ISVC (2) 2007: 106-115 - 2006
- [c49]Doron Feldman, Daphna Weinshall:
Motion Segmentation Using an Occlusion Detector. WDV 2006: 34-47 - [c48]Tomer Hertz
Learning a kernel function for classification with small training samples. ICML 2006: 401-408 - [c47]Aharon Bar-Hillel, Daphna Weinshall:
Subordinate class recognition using relational object models. NIPS 2006: 73-80 - [c46]Daphna Weinshall:
Cognitive Authentication Schemes Safe Against Spyware (Short Paper). S&P 2006: 295-300 - 2005
- [j21]Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall:
Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. 6: 937-965 (2005) - [c45]Aharon Bar-Hillel
Object Class Recognition by Boosting a Part-Based Model. CVPR (1) 2005: 702-709 - [c44]Doron Feldman, Daphna Weinshall:
Realtime IBR with Omnidirectional Crossed-Slits Projection. ICCV 2005: 839-845 - [c43]Aharon Bar-Hillel, Tomer Hertz
Efficient Learning of Relational Object Class Models. ICCV 2005: 1762-1769 - [c42]Inna Weiner, Tomer Hertz, Israel Nelken, Daphna Weinshall:
Analyzing Auditory Neurons by Learning Distance Functions. NIPS 2005: 1481-1488 - 2004
- [c41]Daphna Weinshall, Scott Kirkpatrick:
Passwords you'll never forget, but can't recall. CHI Extended Abstracts 2004: 1399-1402 - [c40]Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall:
Learning Distance Functions for Image Retrieval. CVPR (2) 2004: 570-577 - [c39]Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall:
Boosting margin based distance functions for clustering. ICML 2004 - 2003
- [j20]Assaf Zomet, Doron Feldman, Shmuel Peleg, Daphna Weinshall:
Mosaicing New Views: The Crossed-Slits Projection. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 741-754 (2003) - [c38]Aharon Bar-Hillel, Daphna Weinshall:
Learning with Equivalence Constraints and the Relation to Multiclass Learning. COLT 2003: 640-654 - [c37]Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall:
Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) 2003: 668-674 - [c36]Doron Feldman, Tomás Pajdla, Daphna Weinshall:
On the Epipolar Geometry of the Crossed-Slits Projection. ICCV 2003: 988-995 - [c35]Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall:
Learning Distance Functions using Equivalence Relations. ICML 2003: 11-18 - [c34]Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall:
Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS 2003: 465-472 - 2002
- [c33]Daphna Weinshall, Mi-Suen Lee, Tomás Brodský, M. Trajkovic, Doron Feldman:
New View Generation with a Bi-centric Camera. ECCV (1) 2002: 614-628 - [c32]Noam Shental, Tomer Hertz, Daphna Weinshall, Misha Pavel:
Adjustment Learning and Relevant Component Analysis. ECCV (4) 2002: 776-792 - 2001
- [j19]Yoram Gdalyahu, Daphna Weinshall, Michael Werman:
Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization. IEEE Trans. Pattern Anal. Mach. Intell. 23(10): 1053-1074 (2001) - [c31]Mi-Suen Lee, Daphna Weinshall, Eric Cohen-Solal:
A Computer Vision System for On-Screen Item Selection by Finger Pointing. CVPR (1) 2001: 1026-1033 - 2000
- [j18]David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu:
Classification with Nonmetric Distances: Image Retrieval and Class Representation. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 583-600 (2000) - [c30]Yoram Gdalyahu, Noam Shental, Daphna Weinshall:
Perceptual Grouping and Segmentation by Stochastic Clustering. CVPR 2000: 1367-1374
1990 – 1999
- 1999
- [j17]Daphna Weinshall:
Minimal Decomposition of Model-Based Invariants. J. Math. Imaging Vis. 10(1): 75-85 (1999) - [j16]Gilad Halevy, Daphna Weinshall:
Motion of disturbances: detection and tracking of multi-body non-rigid motion. Mach. Vis. Appl. 11(3): 122-137 (1999) - [j15]Yoram Gdalyahu, Daphna Weinshall:
Flexible Syntactic Matching of Curves and Its Application to Automatic Hierarchical Classification of Silhouettes. IEEE Trans. Pattern Anal. Mach. Intell. 21(12): 1312-1328 (1999) - [c29]Yoram Gdalyahu, Daphna Weinshall, Michael Werman:
Stochastic Image Segmentation by Typical Cuts. CVPR 1999: 2596-2601 - 1998
- [j14]Stefan Carlsson, Daphna Weinshall:
Dual Computation of Projective Shape and Camera Positions from Multiple Images. Int. J. Comput. Vis. 27(3): 227-241 (1998) - [c28]Yoram Gdalyahu, Daphna Weinshall:
Automatic Hierarchical Classification of Silhouettes of 3D Objects. CVPR 1998: 787-793 - [c27]Yoram Gdalyahu, Daphna Weinshall:
Flexible Syntactic Matching of Curves. ECCV (2) 1998: 123-139 - [c26]Michal Irani, P. Anandan, Daphna Weinshall:
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications. ECCV (2) 1998: 829-845 - [c25]David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu:
Condensing Image Databases when Retrieval is Based on Non-Metric Distances. ICCV 1998: 596-601 - [c24]Zili Liu, Daphna Weinshall:
Mechanisms of Generalization in Perceptual Learning. NIPS 1998: 45-51 - [c23]Yoram Gdalyahu, Daphna Weinshall, Michael Werman:
A Randomized Algorithm for Pairwise Clustering. NIPS 1998: 424-430 - [c22]Daphna Weinshall, David W. Jacobs, Yoram Gdalyahu:
Classification in Non-Metric Spaces. NIPS 1998: 838-846 - [c21]Daphna Weinshall, P. Anandan, Michal Irani:
From Ordinal to Euclidean Reconstruction with Partial Scene Calibration. SMILE 1998: 208-223 - 1997
- [j13]Hagit Zabrodsky, Daphna Weinshall:
Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences. Comput. Vis. Image Underst. 67(1): 48-57 (1997) - [j12]Daphna Weinshall, Michael Werman:
On View Likelihood and Stability. IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 97-108 (1997) - [c20]Gilad Halevy, Daphna Weinshall:
Motion of Disturbances: Detection and Tracking of multi-Body non-Rigid Motion. CVPR 1997: 897-902 - 1996
- [j11]Ronen Basri, Daphna Weinshall:
Distance Metric Between 3D Models and 2D Images for Recognition and Classification. IEEE Trans. Pattern Anal. Mach. Intell. 18(4): 465-470 (1996) - [c19]Daphna Weinshall, Michael Werman, Amnon Shashua:
Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors. ECCV (2) 1996: 217-227 - [c18]Yoram Gdalyahu, Daphna Weinshall:
Measures for Silhouettes Resemblance and Representative Silhouettes of Curved Objects. ECCV (2) 1996: 365-375 - [c17]Michael Werman, Daphna Weinshall:
Complexity of Indexing: Efficient and Learnable Large Database Indexing. ECCV (1) 1996: 660-670 - 1995
- [j10]Daphna Weinshall, Carlo Tomasi:
Linear and Incremental Acquisition of Invariant Shape Models From Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 17(5): 512-517 (1995) - [j9]Michael Werman, Daphna Weinshall:
Similarity and Affine Invariant Distances Between 2D Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. 17(8): 810-814 (1995) - 1994
- [j8]Daphna Weinshall:
Local shape approximation from shading. J. Math. Imaging Vis. 4(2): 119-138 (1994) - [c16]Daphna Weinshall, Michael Werman, Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) 1994: 24-35 - [c15]Boubakeur Boufama, Daphna Weinshall, Michael Werman:
Shape from motion algorithms: a comparative analysis of scaled orthography and perspective. ECCV (1) 1994: 199-204 - [c14]Hagit Zabrodsky, Daphna Weinshall:
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images. ECCV (1) 1994: 403-419 - [c13]Michael Werman, Daphna Weinshall:
Similarity and affine distance between 2D point sets. ICPR (1) 1994: 723-725 - [c12]Daphna Weinshall, Michael Werman, Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision 1994: 237-256 - 1993
- [j7]Daphna Weinshall:
Model-based invariants for 3-D vision. Int. J. Comput. Vis. 10(1): 27-42 (1993) - [c11]Daphna Weinshall:
Model-based Invariant Functions and Their Use for Recognition. Applications of Invariance in Computer Vision 1993: 359-380 - [c10]Daphna Weinshall, Ronen Basri:
Distance metric between 3D models and 2D images for recognition and classification. CVPR 1993: 220-225 - [c9]Daphna Weinshall:
Model-based invariants for 3D vision. CVPR 1993: 695-696 - [c8]Rakesh Mohan, Daphna Weinshall, Ramesh R. Sarukkai:
3D object recognition by indexing structural invariants from multiple views. ICCV 1993: 264-268 - [c7]Daphna Weinshall, Carlo Tomasi:
Linear and incremental acquisition of invariant shape models from image sequences. ICCV 1993: 675-682 - 1992
- [j6]Daphna Weinshall:
Shortcuts in shape classification from two images. CVGIP Image Underst. 56(1): 57-68 (1992) - [c6]Daphna Weinshall:
Local shape approximation from shading. CVPR 1992: 716-718 - 1991
- [j5]William Lim, Philip Kahn, Daphna Weinshall, Andrew Blake:
AAAI-90 Workshop on Qualitative Vision. AI Mag. 12(4): 25-27 (1991) - [j4]Daphna Weinshall:
Direct Computation of Qualitative 3-D Shape and Motion Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 13(12): 1236-1240 (1991) - 1990
- [j3]Daphna Weinshall:
Qualitative Depth from Stereo, with Applications. Comput. Vis. Graph. Image Process. 49(2): 222-241 (1990) - [c5]Daphna Weinshall:
Direct computation of qualitative 3D shape and motion invariants. ICCV 1990: 230-237 - [c4]Daphna Weinshall:
Qualitative Structure From Motion. NIPS 1990: 356-362
1980 – 1989
- 1989
- [j2]Edward B. Gamble, Davi Geiger, Tomaso A. Poggio, Daphna Weinshall:
Integration of vision modules and labeling of surface discontinuities. IEEE Trans. Syst. Man Cybern. 19(6): 1576-1581 (1989) - [c3]Daphna Weinshall, Shimon Edelman, Heinrich H. Bülthoff:
A Self-Organizing Multiple-View Representations of 3D Objects. NIPS 1989: 274-281 - 1988
- [j1]Davi Geiger, Daphna Weinshall:
Labeling edges with a linear network: An integration of low-level vision modules. Neural Networks 1(Supplement-1): 494-496 (1988) - [c2]Daphna Weinshall:
Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence. CVPR 1988: 159-164 - [c1]Daphna Weinshall:
Application Of Qualitative Depth And Shape From Stereo. ICCV 1988: 144-148
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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