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ORCIDDaphna 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, Daphna Weinshall:
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, Daphna Weinshall:
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, Daphna Weinshall:
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, Shay Rotics, Ran Nathan, Daphna Weinshall:
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, Ran Nathan, Daphna Weinshall:
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, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel:
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, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc Van Gool, Rufin Vogels, Stefan Wabnik, Daphna Weinshall:
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, Frank W. Ohl, Daphna Weinshall, Shaul Hochstein:
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, Shaul Hochstein, Daphna Weinshall:
Category learning from equivalence constraints. Cogn. Process. 10(3): 211-232 (2009) - 2008
- [j23]Aharon Bar-Hillel, Daphna Weinshall:
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, Shaul Hochstein, Daphna Weinshall:
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, Aharon Bar-Hillel, Daphna Weinshall:
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, Tomer Hertz, Daphna Weinshall:
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, Daphna Weinshall:
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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For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
