Dan Raviv - RankMe

74 papers A* 4B 1Journal 49Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Inverse Design of Diffractive Metasurfaces Using Diffusion Models. CoRR Liav Hen, Erez Yosef, Dan Raviv, Raja Giryes, Jacob Scheuer
2025	J	`jnl`	L-SR1: Learned Symmetric-Rank-One Preconditioning. CoRR Gal Lifshitz, Shahar Zuler, Ori Fouks, Dan Raviv
2025	J	`jnl`	SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection. CoRR Ido Nitzan HIdekel, Gal Lifshitz, Khen Cohen, Dan Raviv
2025	J	`jnl`	Systole-Conditioned Generative Cardiac Motion. CoRR Shahar Zuler, Gal Lifshitz, Hadar Averbuch-Elor, Dan Raviv
2024	—	`conf`	CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights. MICCAI (5) Shahar Zuler, Shai Tejman-Yarden, Dan Raviv
2024	J	`jnl`	CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights. CoRR Shahar Zuler, Shai Tejman-Yarden, Dan Raviv
2024	J	`jnl`	Correction to: MRZ code extraction from visa and passport documents using convolutional neural networks. Int. J. Document Anal. Recognit. Yichuan Liu, Hailey Joren, Otkrist Gupta, Dan Raviv
2024	J	`jnl`	Cost Function Unrolling in Unsupervised Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. Gal Lifshitz, Dan Raviv
2024	J	`jnl`	Selective sampling with Gromov-Hausdorff metric: Efficient dense-shape correspondence via Confidence-based sample consensus. Virtual Real. Intell. Hardw. Dvir Ginzburg, Dan Raviv
2024	J	`jnl`	Synthetic Data Generation for 3D Myocardium Deformation Analysis. CoRR Shahar Zuler, Dan Raviv
2024	J	`jnl`	Temporal Super-Resolution Using a Multi-Channel Illumination Source. Sensors Khen Cohen, David Mendlovic, Dan Raviv
2023	J	`jnl`	Correction: Printing and scanning investigation for image counter forensics. EURASIP J. Image Video Process. Hailey Joren, Otkrist Gupta, Dan Raviv
2023	J	`jnl`	Illumination-Based Color Reconstruction for the Dynamic Vision Sensor. Sensors Khen Cohen, Omer Hershko, Homer Levy, David Mendlovic, Dan Raviv
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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, Pew-Thian Yap, 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, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
2022	A*	`conf`	Deep Confidence Guided Distance for 3D Partial Shape Registration. AAAI Dvir Ginzburg, Dan Raviv
2022	J	`jnl`	Deep Confidence Guided Distance for 3D Partial Shape Registration. CoRR Dvir Ginzburg, Dan Raviv
2022	B	`conf`	Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration. ICIP Dvir Ginzburg, Dan Raviv
2022	J	`jnl`	Illumination-Based Color Reconstruction for the Dynamic Vision Sensor. CoRR Khen Cohen, Omer Hershko, Homer Levy, David Mendlovic, Dan Raviv
2022	—	`conf`	Learning Document Graphs with Attention for Image Manipulation Detection. ICPRAI (1) Hailey James, Otkrist Gupta, Dan Raviv
2022	J	`jnl`	MRZ code extraction from visa and passport documents using convolutional neural networks. Int. J. Document Anal. Recognit. Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv
2022	J	`jnl`	Printing and scanning investigation for image counter forensics. EURASIP J. Image Video Process. Hailey James, Otkrist Gupta, Dan Raviv
2022	—	`conf`	Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps. ISBI Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv
2022	J	`jnl`	Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps. CoRR Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv
2022	—	`conf`	Skeleton-Based Typing Style Learning For Person Identification. WACV (Workshops) Lior Gelberg, David Mendlovic, Dan Raviv
2022	—	`conf`	Spectral Teacher for a Spatial Student: Spectrum-Aware Real-Time Dense Shape Correspondence. 3DV Omri Efroni, Dvir Ginzburg, Dan Raviv
2021	—	`conf`	DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. 3DV Itai Lang, Dvir Ginzburg, Shai Avidan, Dan Raviv
2021	J	`jnl`	DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. CoRR Itai Lang, Dvir Ginzburg, Shai Avidan, Dan Raviv
2021	J	`jnl`	Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration. CoRR Dvir Ginzburg, Dan Raviv
2021	—	`conf`	Dual Geometric Graph Network (DG2N) Iterative Network for Deformable Shape Alignment. 3DV Dvir Ginzburg, Dan Raviv
2021	A*	`conf`	FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. CVPR Yair Kittenplon, Yonina C. Eldar, Dan Raviv
2021	—	`conf`	It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection. ICCVW Meytal Rapoport-Lavie, Dan Raviv
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	—	`conf`	Occlusion Guided Scene Flow Estimation on 3D Point Clouds. CVPR Workshops Bojun Ouyang, Dan Raviv
2021	—	`conf`	Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds. 3DV Bojun Ouyang, Dan Raviv
2021	J	`jnl`	Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds. CoRR Bojun Ouyang, Dan Raviv
2021	—	`conf`	Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling. MIDOG/MOOD/Learn2Reg@MICCAI Gal Lifshitz, Dan Raviv
2020	—	`conf`	Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes. ECCV (5) Dvir Ginzburg, Dan Raviv
2020	J	`jnl`	Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence. CoRR Dvir Ginzburg, Dan Raviv
2020	J	`jnl`	FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. CoRR Yair Kittenplon, Yonina C. Eldar, Dan Raviv
2020	J	`jnl`	Geometry Enhancements from Visual Content: Going Beyond Ground Truth. CoRR Liran Azaria, Dan Raviv
2020	J	`jnl`	It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection. CoRR Meytal Rapoport-Lavie, Dan Raviv
2020	J	`jnl`	MRZ code extraction from visa and passport documents using convolutional neural networks. CoRR Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv
2020	J	`jnl`	OCR Graph Features for Manipulation Detection in Documents. CoRR Hailey James, Otkrist Gupta, Dan Raviv
2020	J	`jnl`	Occlusion Guided Scene Flow Estimation on 3D Point Clouds. CoRR Bojun Ouyang, Dan Raviv
2020	J	`jnl`	Printing and Scanning Attack for Image Counter Forensics. CoRR Hailey James, Otkrist Gupta, Dan Raviv
2020	J	`jnl`	Skeleon-Based Typing Style Learning For Person Identification. CoRR Lior Gelberg, David Mendlovic, Dan Raviv
2020	J	`jnl`	Unsupervised Optical Flow Using Cost Function Unrolling. CoRR Gal Lifshitz, Dan Raviv
2020	J	`jnl`	Unsupervised Scale-Invariant Multispectral Shape Matching. CoRR Idan Pazi, Dvir Ginzburg, Dan Raviv
2019	J	`jnl`	Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. CoRR Dvir Ginzburg, Dan Raviv
2019	J	`jnl`	Multi-Velocity Neural Networks for Facial Expression Recognition in Videos. IEEE Trans. Affect. Comput. Otkrist Gupta, Dan Raviv, Ramesh Raskar
2018	J	`jnl`	Illumination invariants in deep video expression recognition. Pattern Recognit. Otkrist Gupta, Dan Raviv, Ramesh Raskar
2017	J	`jnl`	LRA: Local Rigid Averaging of Stretchable Non-rigid Shapes. Int. J. Comput. Vis. Dan Raviv, Eduardo Bayro-Corrochano, Ramesh Raskar
2016	J	`jnl`	Deep video gesture recognition using illumination invariants. CoRR Otkrist Gupta, Dan Raviv, Ramesh Raskar
2016	J	`jnl`	Multi-velocity neural networks for gesture recognition in videos. CoRR Otkrist Gupta, Dan Raviv, Ramesh Raskar
2015	J	`jnl`	Affine Invariant Geometry for Non-rigid Shapes. Int. J. Comput. Vis. Dan Raviv, Ron Kimmel
2015	J	`jnl`	Coreset-Based Adaptive Tracking. CoRR Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar
2015	J	`jnl`	Scale Invariant Metrics of Volumetric Datasets. SIAM J. Imaging Sci. Dan Raviv, Ramesh Raskar
2014	J	`jnl`	Equi-affine Invariant Geometry for Shape Analysis. J. Math. Imaging Vis. Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel
2014	—	`conf`	Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry. STACOM Dan Raviv, Jon Lessick, Ramesh Raskar
2013	J	`jnl`	Graph Isomorphisms and Automorphisms via Spectral Signatures. IEEE Trans. Pattern Anal. Mach. Intell. Dan Raviv, Ron Kimmel, Alfred M. Bruckstein
2013	—	`ch.`	Non-rigid Shape Correspondence Using Pointwise Surface Descriptors and Metric Structures. Innovations for Shape Analysis, Models and Algorithms Anastasia Dubrovina, Dan Raviv, Ron Kimmel
2013	J	`jnl`	Scale Invariant Geometry for Nonrigid Shapes. SIAM J. Imaging Sci. Yonathan Aflalo, Ron Kimmel, Dan Raviv
2012	—	`conf`	Affine-Invariant Photometric Heat Kernel Signatures. 3DOR@Eurographics Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, Ron Kimmel
2012	—	`conf`	Intrinsic Local Symmetries: A Computational Framework. 3DOR@Eurographics Carmi Grushko, Dan Raviv, Ron Kimmel
2012	—	`—`	Invariant metrics for non-rigid shapes. Dan Raviv
2011	A*	`conf`	Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. CVPR Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen
2011	J	`jnl`	Affine-invariant geodesic geometry of deformable 3D shapes. Comput. Graph. Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2011	—	`conf`	Equi-affine Invariant Geometries of Articulated Objects. Theoretical Foundations of Computer Vision Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2011	—	`conf`	Hierarchical Matching of Non-rigid Shapes. SSVM Dan Raviv, Anastasia Dubrovina, Ron Kimmel
2010	J	`jnl`	Affine-invariant diffusion geometry for the analysis of deformable 3D shapes CoRR Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2010	J	`jnl`	Affine-invariant geodesic geometry of deformable 3D shapes CoRR Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen
2010	J	`jnl`	Full and Partial Symmetries of Non-rigid Shapes. Int. J. Comput. Vis. Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel
2010	—	`conf`	Volumetric heat kernel signatures. 3DOR@MM Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel
2007	A*	`conf`	Symmetries of non-rigid shapes. ICCV Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel