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Yacov Hel-Or
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2020 – today
- 2024
- [c35]Gil Geva, Olivier Warusfel, Shlomo Dubnov, Tammuz Dubnov, Amir Amedi, Yacov Hel-Or:
Binaural Sound Source Localization Using a Hybrid Time and Frequency Domain Model. ICASSP 2024: 8821-8825 - [i9]Gil Geva, Olivier Warusfel, Shlomo Dubnov, Tammuz Dubnov, Amir Amedi, Yacov Hel-Or:
Binaural sound source localization using a hybrid time and frequency domain model. CoRR abs/2402.03867 (2024) - 2023
- [c34]David Dadon, Ohad Fried, Yacov Hel-Or:
DDNeRF: Depth Distribution Neural Radiance Fields. WACV 2023: 755-763 - 2022
- [c33]Asaf Karnieli
, Ohad Fried
DeepShadow: Neural Shape from Shadow. ECCV (2) 2022: 415-430 - [i8]Asaf Karnieli, Ohad Fried, Yacov Hel-Or:
DeepShadow: Neural Shape from Shadow. CoRR abs/2203.15065 (2022) - [i7]David Dadon, Ohad Fried, Yacov Hel-Or:
DDNeRF: Depth Distribution Neural Radiance Fields. CoRR abs/2203.16626 (2022) - [i6]Chen Naveh, Yacov Hel-Or:
OrthoGAN: Multifaceted Semantics for Disentangled Face Editing. CoRR abs/2211.11825 (2022) - 2021
- [j23]Yacov Hel-Or
The Role of Redundant Bases and Shrinkage Functions in Image Denoising. IEEE Trans. Image Process. 30: 3778-3792 (2021) - [c32]Alon Oring, Zohar Yakhini, Yacov Hel-Or:
Autoencoder Image Interpolation by Shaping the Latent Space. ICML 2021: 8281-8290 - [c31]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Pairwise Margin Maximization for Deep Neural Networks. ICMLA 2021: 263-270 - [i5]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Pairwise Margin Maximization for Deep Neural Networks. CoRR abs/2110.04519 (2021) - 2020
- [c30]Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or:
Proximity Preserving Binary Code Using Signed Graph-Cut. AAAI 2020: 4535-4544 - [i4]Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or:
Proximity Preserving Binary Code using Signed Graph-Cut. CoRR abs/2002.01793 (2020) - [i3]Alon Oring, Zohar Yakhini, Yacov Hel-Or:
Faithful Autoencoder Interpolation by Shaping the Latent Space. CoRR abs/2008.01487 (2020) - [i2]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Margin-Based Regularization and Selective Sampling in Deep Neural Networks. CoRR abs/2009.06011 (2020)
2010 – 2019
- 2019
- [i1]Berry Weinstein, Shai Fine, Yacov Hel-Or:
Selective sampling for accelerating training of deep neural networks. CoRR abs/1911.06996 (2019) - 2018
- [j22]Anat Bremler-Barr
Encoding Short Ranges in TCAM Without Expansion: Efficient Algorithm and Applications. IEEE/ACM Trans. Netw. 26(2): 835-850 (2018) - 2017
- [c29]Hagit Hel-Or, Yacov Hel-Or, Renato Keshet:
Depth-Stretch: Enhancing Depth Perception Without Depth. CVPR Workshops 2017: 1006-1014 - 2016
- [c28]Anat Bremler-Barr, Yotam Harchol, David Hay, Yacov Hel-Or:
Encoding Short Ranges in TCAM Without Expansion: Efficient Algorithm and Applications. SPAA 2016: 35-46 - 2015
- [j21]Amir Adler
Linear-Time Subspace Clustering via Bipartite Graph Modeling. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2234-2246 (2015) - [j20]Amir Adler
Sparse Coding with Anomaly Detection. J. Signal Process. Syst. 79(2): 179-188 (2015) - [c27]Anat Bremler-Barr, Yotam Harchol, David Hay, Yacov Hel-Or:
Ultra-Fast Similarity Search Using Ternary Content Addressable Memory. DaMoN 2015: 12:1-12:10 - 2014
- [j19]Yacov Hel-Or, Hagit Hel-Or, Eyal David:
Matching by Tone Mapping: Photometric Invariant Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 317-330 (2014) - 2013
- [j18]Amir Adler
Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Process. Lett. 20(1): 63-66 (2013) - [c26]Elhanan Elboher, Michael Werman, Yacov Hel-Or:
The Generalized Laplacian Distance and Its Applications for Visual Matching. CVPR 2013: 2315-2322 - [c25]M. Lefler, Hagit Hel-Or, Yacov Hel-Or:
Metric plane rectification using symmetric vanishing points. ICIP 2013: 300-304 - [c24]Dori Shapira, Shai Avidan, Yacov Hel-Or:
Multiple histogram matching. ICIP 2013: 2269-2273 - [c23]Amir Adler
Sparse coding with anomaly detection. MLSP 2013: 1-6 - 2012
- [j17]Mark S. Drew, Yacov Hel-Or, Tom Malzbender, Nasim Hajari:
Robust estimation of surface properties and interpolation of shadow/specularity components. Image Vis. Comput. 30(4-5): 317-331 (2012) - [c22]Yair Moshe, Hagit Hel-Or, Yacov Hel-Or:
Foreground detection using spatiotemporal projection kernels. CVPR 2012: 3210-3217 - 2011
- [c21]Yacov Hel-Or, Hagit Hel-Or, Eyal David:
Fast template matching in non-linear tone-mapped images. ICCV 2011: 1355-1362 - 2010
- [c20]Amir Adler
A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. ECCV (2) 2010: 622-635 - [c19]Amir Adler
A weighted discriminative approach for image denoising with overcomplete representations. ICASSP 2010: 782-785
2000 – 2009
- 2009
- [c18]Mark S. Drew, Nasim Hajari, Yacov Hel-Or, Tom Malzbender:
Specularity and Shadow Interpolation via Robust Polynomial Texture Maps. BMVC 2009: 1-11 - [c17]Sefy Kagarlitsky, Yael Moses, Yacov Hel-Or:
Piecewise-consistent color mappings of images acquired under various conditions. ICCV 2009: 2311-2318 - 2008
- [j16]Yacov Hel-Or, D. Shaked:
A Discriminative Approach for Wavelet Denoising. IEEE Trans. Image Process. 17(4): 443-457 (2008) - 2007
- [j15]Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or:
The Gray-Code Filter Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 382-393 (2007) - 2005
- [j14]Michael Elad, Patrick C. Teo, Yacov Hel-Or:
On the Design of Filters for Gradient-Based Motion Estimation. J. Math. Imaging Vis. 23(3): 345-365 (2005) - [j13]Yacov Hel-Or, Hagit Hel-Or:
Real-Time Pattern Matching Using Projection Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1430-1445 (2005) - [c16]Yacov Hel-Or:
The impulse responses of block shift-invariant systems and their use for demosaicing algorithms. ICIP (2) 2005: 1006-1009 - 2004
- [c15]Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or:
Filtering with Gray-Code Kernels. ICPR (1) 2004: 556-559 - 2003
- [c14]Yacov Hel-Or, Hagit Hel-Or:
Real Time Pattern Matching Using Projection Kernels. ICCV 2003: 1486-1493 - [c13]Yacov Hel-Or, Hagit Hel-Or:
Generalized pattern matching using orbit decomposition. ICIP (3) 2003: 69-72 - 2002
- [j12]Michael Elad, Yacov Hel-Or, Renato Keshet:
Rejection based classifier for face detection. Pattern Recognit. Lett. 23(12): 1459-1471 (2002) - 2001
- [j11]Michael Elad, Yacov Hel-Or:
A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur. IEEE Trans. Image Process. 10(8): 1187-1193 (2001) - [c12]Hagit Zabrodsky Hel-Or, Y. Yitzhaki, Yacov Hel-Or:
Geometric hashing techniques for watermarking. ICIP (2) 2001: 498-501 - [c11]Michael Elad, Yacov Hel-Or, Renato Keshet:
Pattern Detection Using a Maximal Rejection Classifier. IWVF 2001: 514-524
1990 – 1999
- 1999
- [j10]Patrick C. Teo, Yacov Hel-Or:
Design of Multiparameter Steerable Functions Using Cascade Basis Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 21(6): 552-556 (1999) - [c10]Michael Elad, Patrick C. Teo, Yacov Hel-Or:
Optimal Filters for Gradient-based Motion Estimation. ICCV 1999: 559-565 - 1998
- [j9]Yacov Hel-Or, Patrick C. Teo:
Canonical Decomposition of Steerable Functions. J. Math. Imaging Vis. 9(1): 83-95 (1998) - [j8]Patrick C. Teo, Yacov Hel-Or:
Lie generators for computing steerable functions. Pattern Recognit. Lett. 19(1): 7-17 (1998) - [c9]Patrick C. Teo, Yacov Hel-Or:
Design of Multi-Parameter Steerable Functions Using Cascade Basis Reduction. ICCV 1998: 187-192 - 1997
- [c8]Patrick C. Teo, Yacov Hel-Or:
A Computational Approach to Steerable Functions. CVPR 1997: 313-318 - 1996
- [j7]Yacov Hel-Or, Michael Werman:
Constraint fusion for recognition and localization of articulated objects. Int. J. Comput. Vis. 19(1): 5-28 (1996) - [c7]Yacov Hel-Or, Patrick C. Teo:
Canonical Decomposition of Steerable Functions. CVPR 1996: 809-816 - 1995
- [j6]Yacov Hel-Or, Michael Werman:
Pose Estimation by Fusing Noisy Data of Different Dimensions. IEEE Trans. Pattern Anal. Mach. Intell. 17(2): 195-201 (1995) - [j5]Yacov Hel-Or, Michael Werman:
Corrections to 'Pose Estimation by Fusing Noisy Data of Different Dimensions'. IEEE Trans. Pattern Anal. Mach. Intell. 17(5): 544 (1995) - 1994
- [j4]Yacov Hel-Or, Ari Rappoport, Michael Werman:
Relaxed parametric design with probabilistic constraints. Comput. Aided Des. 26(6): 426-434 (1994) - [j3]Yacov Hel-Or, Amir Shmuel, Michael Werman:
Localization of primitives using adaptive projections. J. Intell. Robotic Syst. 11(1-2): 161-174 (1994) - [j2]Ari Rappoport, Yacov Hel-Or, Michael Werman:
Interactive design of smooth objects with probabilistic point constraints. ACM Trans. Graph. 13(2): 156-176 (1994) - [c6]Yacov Hel-Or, Michael Werman:
Constraint-fusion for interpretation of articulated objects. CVPR 1994: 39-45 - [c5]Yacov Hel-Or, Michael Werman:
Model Based Pose Estimation of Articulated and Constrained Objects. ECCV (1) 1994: 262-273 - [c4]Yacov Hel-Or, Shimon Edelman:
A new approach to qualitative stereo. ICPR (1) 1994: 316-320 - 1993
- [b1]Yacov Hel-Or:
Model based pose estimation from uncertain data (שמושים באי-ודאות עבור מקום גופים מבססי-מודל.). Hebrew University of Jerusalem, Israel, 1993 - [c3]Yacov Hel-Or, Ari Rappoport, Michael Werman:
Relaxed parametric design with probabilistic constraints. Solid Modeling and Applications 1993: 261-270 - 1992
- [c2]Yacov Hel-Or, Michael Werman:
Absolute orientation from uncertain point data: a unified approach. CVPR 1992: 77-82 - 1991
- [j1]Yacov Hel-Or, Shmuel Peleg
Characterization of right-handed and left-handed shapes. CVGIP Image Underst. 53(3): 297-302 (1991)
1980 – 1989
- 1988
- [c1]Yacov Hel-Or, Shmuel Peleg, Hagit Zabrodsky:
How to tell right from left [chirality for 2-D binary shapes]. CVPR 1988: 304-309
Coauthor Index
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last updated on 2024-08-07 21:31 CEST by the dblp team
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