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Dan Raviv
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2020 – today
- 2024
- [j19]Yichuan Liu
, Hailey Joren, Otkrist Gupta, Dan Raviv:
Correction to: MRZ code extraction from visa and passport documents using convolutional neural networks. Int. J. Document Anal. Recognit. 27(1): 111 (2024) - [j18]Gal Lifshitz
Cost Function Unrolling in Unsupervised Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 869-880 (2024) - [j17]Khen Cohen, David Mendlovic, Dan Raviv:
Temporal Super-Resolution Using a Multi-Channel Illumination Source. Sensors 24(3): 857 (2024) - [j16]Dvir Ginzburg, Dan Raviv:
Selective sampling with Gromov-Hausdorff metric: Efficient dense-shape correspondence via Confidence-based sample consensus. Virtual Real. Intell. Hardw. 6(1): 30-42 (2024) - [c23]Shahar Zuler, Shai Tejman-Yarden, Dan Raviv:
CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights. MICCAI (5) 2024: 123-133 - [i26]Shahar Zuler, Dan Raviv:
Synthetic Data Generation for 3D Myocardium Deformation Analysis. CoRR abs/2406.01040 (2024) - [i25]Shahar Zuler, Shai Tejman-Yarden, Dan Raviv:
CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights. CoRR abs/2407.03794 (2024) - 2023
- [j15]Hailey Joren
Correction: Printing and scanning investigation for image counter forensics. EURASIP J. Image Video Process. 2023(1): 10 (2023) - [j14]Khen Cohen, Omer Hershko, Homer Levy, David Mendlovic, Dan Raviv:
Illumination-Based Color Reconstruction for the Dynamic Vision Sensor. Sensors 23(19): 8327 (2023) - [j13]Alessa Hering
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - 2022
- [j12]Hailey James
Printing and scanning investigation for image counter forensics. EURASIP J. Image Video Process. 2022(1): 2 (2022) - [j11]Yichuan Liu
MRZ code extraction from visa and passport documents using convolutional neural networks. Int. J. Document Anal. Recognit. 25(1): 29-39 (2022) - [c22]Omri Efroni, Dvir Ginzburg, Dan Raviv:
Spectral Teacher for a Spatial Student: Spectrum-Aware Real-Time Dense Shape Correspondence. 3DV 2022: 1-10 - [c21]Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. AAAI 2022: 706-714 - [c20]Dvir Ginzburg, Dan Raviv:
Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration. ICIP 2022: 71-75 - [c19]Hailey James, Otkrist Gupta, Dan Raviv:
Learning Document Graphs with Attention for Image Manipulation Detection. ICPRAI (1) 2022: 263-274 - [c18]Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps. ISBI 2022: 1-5 - [c17]Lior Gelberg, David Mendlovic, Dan Raviv:
Skeleton-Based Typing Style Learning For Person Identification. WACV (Workshops) 2022: 369-378 - [i24]Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps. CoRR abs/2201.09693 (2022) - [i23]Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. CoRR abs/2201.11379 (2022) - [i22]Khen Cohen, Omer Hershko, Homer Levy, David Mendlovic, Dan Raviv:
Illumination-Based Color Reconstruction for the Dynamic Vision Sensor. CoRR abs/2211.06695 (2022) - 2021
- [c16]Bojun Ouyang, Dan Raviv:
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds. 3DV 2021: 782-791 - [c15]Dvir Ginzburg, Dan Raviv:
Dual Geometric Graph Network (DG2N) Iterative Network for Deformable Shape Alignment. 3DV 2021: 1341-1350 - [c14]Itai Lang
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. 3DV 2021: 1442-1451 - [c13]Bojun Ouyang, Dan Raviv:
Occlusion Guided Scene Flow Estimation on 3D Point Clouds. CVPR Workshops 2021: 2805-2814 - [c12]Yair Kittenplon, Yonina C. Eldar, Dan Raviv:
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. CVPR 2021: 4114-4123 - [c11]Meytal Rapoport-Lavie, Dan Raviv:
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection. ICCVW 2021: 2992-3001 - [c10]Gal Lifshitz, Dan Raviv:
Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 153-160 - [i21]Bojun Ouyang, Dan Raviv:
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds. CoRR abs/2104.04724 (2021) - [i20]Dvir Ginzburg, Dan Raviv:
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration. CoRR abs/2105.02714 (2021) - [i19]Itai Lang, Dvir Ginzburg, Shai Avidan, Dan Raviv:
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. CoRR abs/2110.08636 (2021) - [i18]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021) - 2020
- [c9]Dvir Ginzburg, Dan Raviv:
Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes. ECCV (5) 2020: 36-52 - [i17]Hailey James, Otkrist Gupta, Dan Raviv:
Printing and Scanning Attack for Image Counter Forensics. CoRR abs/2005.02160 (2020) - [i16]Hailey James, Otkrist Gupta, Dan Raviv:
OCR Graph Features for Manipulation Detection in Documents. CoRR abs/2009.05158 (2020) - [i15]Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv:
MRZ code extraction from visa and passport documents using convolutional neural networks. CoRR abs/2009.05489 (2020) - [i14]Yair Kittenplon, Yonina C. Eldar, Dan Raviv:
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. CoRR abs/2011.10147 (2020) - [i13]Dvir Ginzburg, Dan Raviv:
Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence. CoRR abs/2011.14723 (2020) - [i12]Gal Lifshitz, Dan Raviv:
Unsupervised Optical Flow Using Cost Function Unrolling. CoRR abs/2011.14814 (2020) - [i11]Bojun Ouyang, Dan Raviv:
Occlusion Guided Scene Flow Estimation on 3D Point Clouds. CoRR abs/2011.14880 (2020) - [i10]Meytal Rapoport-Lavie, Dan Raviv:
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection. CoRR abs/2012.03121 (2020) - [i9]Lior Gelberg, David Mendlovic, Dan Raviv:
Skeleon-Based Typing Style Learning For Person Identification. CoRR abs/2012.03212 (2020) - [i8]Liran Azaria, Dan Raviv:
Geometry Enhancements from Visual Content: Going Beyond Ground Truth. CoRR abs/2012.08248 (2020) - [i7]Idan Pazi, Dvir Ginzburg, Dan Raviv:
Unsupervised Scale-Invariant Multispectral Shape Matching. CoRR abs/2012.10685 (2020)
2010 – 2019
- 2019
- [j10]Otkrist Gupta
Multi-Velocity Neural Networks for Facial Expression Recognition in Videos. IEEE Trans. Affect. Comput. 10(2): 290-296 (2019) - [i6]Dvir Ginzburg, Dan Raviv:
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. CoRR abs/1912.01249 (2019) - 2018
- [j9]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Illumination invariants in deep video expression recognition. Pattern Recognit. 76: 25-35 (2018) - 2017
- [j8]Dan Raviv, Eduardo Bayro-Corrochano, Ramesh Raskar:
LRA: Local Rigid Averaging of Stretchable Non-rigid Shapes. Int. J. Comput. Vis. 124(2): 132-144 (2017) - 2016
- [i5]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Deep video gesture recognition using illumination invariants. CoRR abs/1603.06531 (2016) - [i4]Otkrist Gupta, Dan Raviv, Ramesh Raskar:
Multi-velocity neural networks for gesture recognition in videos. CoRR abs/1603.06829 (2016) - 2015
- [j7]Dan Raviv, Ron Kimmel:
Affine Invariant Geometry for Non-rigid Shapes. Int. J. Comput. Vis. 111(1): 1-11 (2015) - [j6]Dan Raviv, Ramesh Raskar:
Scale Invariant Metrics of Volumetric Datasets. SIAM J. Imaging Sci. 8(1): 403-425 (2015) - [i3]Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar:
Coreset-Based Adaptive Tracking. CoRR abs/1511.06147 (2015) - 2014
- [j5]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel:
Equi-affine Invariant Geometry for Shape Analysis. J. Math. Imaging Vis. 50(1-2): 144-163 (2014) - [c8]Dan Raviv, Jon Lessick
Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry. STACOM 2014: 147-157 - 2013
- [j4]Dan Raviv, Ron Kimmel, Alfred M. Bruckstein
Graph Isomorphisms and Automorphisms via Spectral Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1985-1993 (2013) - [j3]Yonathan Aflalo, Ron Kimmel, Dan Raviv:
Scale Invariant Geometry for Nonrigid Shapes. SIAM J. Imaging Sci. 6(3): 1579-1597 (2013) - [p1]Anastasia Dubrovina, Dan Raviv, Ron Kimmel:
Non-rigid Shape Correspondence Using Pointwise Surface Descriptors and Metric Structures. Innovations for Shape Analysis, Models and Algorithms 2013: 327-342 - 2012
- [b1]Dan Raviv:
Invariant metrics for non-rigid shapes. Technion - Israel Institute of Technology, Israel, 2012 - [c7]Carmi Grushko, Dan Raviv, Ron Kimmel:
Intrinsic Local Symmetries: A Computational Framework. 3DOR@Eurographics 2012: 33-38 - [c6]Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, Ron Kimmel:
Affine-Invariant Photometric Heat Kernel Signatures. 3DOR@Eurographics 2012: 39-46 - 2011
- [j2]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant geodesic geometry of deformable 3D shapes. Comput. Graph. 35(3): 692-697 (2011) - [c5]Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CVPR 2011: 2361-2367 - [c4]Dan Raviv, Anastasia Dubrovina, Ron Kimmel:
Hierarchical Matching of Non-rigid Shapes. SSVM 2011: 604-615 - [c3]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Equi-affine Invariant Geometries of Articulated Objects. Theoretical Foundations of Computer Vision 2011: 177-190 - 2010
- [j1]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Full and Partial Symmetries of Non-rigid Shapes. Int. J. Comput. Vis. 89(1): 18-39 (2010) - [c2]Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
Volumetric heat kernel signatures. 3DOR@MM 2010: 39-44 - [i2]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CoRR abs/1012.5933 (2010) - [i1]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen:
Affine-invariant geodesic geometry of deformable 3D shapes. CoRR abs/1012.5936 (2010)
2000 – 2009
- 2007
- [c1]Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
Symmetries of non-rigid shapes. ICCV 2007: 1-7
Coauthor Index
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last updated on 2024-11-28 20:31 CET by the dblp team
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