Dan Raviv

According to our database, Dan Raviv authored at least 53 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: MRZ code extraction from visa and passport documents using convolutional neural networks.

Yichuan Liu, Hailey Joren, Otkrist Gupta, Dan Raviv

Int. J. Document Anal. Recognit., March, 2024

Temporal Super-Resolution Using a Multi-Channel Illumination Source.

Khen Cohen, David Mendlovic, Dan Raviv

Sensors, February, 2024

Cost Function Unrolling in Unsupervised Optical Flow.

Gal Lifshitz, Dan Raviv

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

2023

Correction: Printing and scanning investigation for image counter forensics.

Hailey Joren, Otkrist Gupta, Dan Raviv

EURASIP J. Image Video Process., December, 2023

Illumination-Based Color Reconstruction for the Dynamic Vision Sensor.

Khen Cohen, Omer Hershko, Homer Levy, David Mendlovic, Dan Raviv

Sensors, October, 2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

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

IEEE Trans. Medical Imaging, March, 2023

2022

MRZ code extraction from visa and passport documents using convolutional neural networks.

Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv

Int. J. Document Anal. Recognit., 2022

Printing and scanning investigation for image counter forensics.

Hailey James, Otkrist Gupta, Dan Raviv

EURASIP J. Image Video Process., 2022

Skeleton-Based Typing Style Learning For Person Identification.

Lior Gelberg, David Mendlovic, Dan Raviv

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps.

Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Learning Document Graphs with Attention for Image Manipulation Detection.

Hailey James, Otkrist Gupta, Dan Raviv

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration.

Dvir Ginzburg, Dan Raviv

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Confidence Guided Distance for 3D Partial Shape Registration.

Dvir Ginzburg, Dan Raviv

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Spectral Teacher for a Spatial Student: Spectrum-Aware Real-Time Dense Shape Correspondence.

Omri Efroni, Dvir Ginzburg, Dan Raviv

Proceedings of the International Conference on 3D Vision, 2022

2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

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

CoRR, 2021

Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling.

Gal Lifshitz, Dan Raviv

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection.

Meytal Rapoport-Lavie, Dan Raviv

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Occlusion Guided Scene Flow Estimation on 3D Point Clouds.

Bojun Ouyang, Dan Raviv

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation.

Yair Kittenplon, Yonina C. Eldar, Dan Raviv

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds.

Bojun Ouyang, Dan Raviv

Proceedings of the International Conference on 3D Vision, 2021

DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction.

Itai Lang, Dvir Ginzburg, Shai Avidan, Dan Raviv

Proceedings of the International Conference on 3D Vision, 2021

Dual Geometric Graph Network (DG2N) Iterative Network for Deformable Shape Alignment.

Dvir Ginzburg, Dan Raviv

Proceedings of the International Conference on 3D Vision, 2021

2020

Unsupervised Scale-Invariant Multispectral Shape Matching.

Idan Pazi, Dvir Ginzburg, Dan Raviv

CoRR, 2020

Geometry Enhancements from Visual Content: Going Beyond Ground Truth.

Liran Azaria, Dan Raviv

CoRR, 2020

Skeleon-Based Typing Style Learning For Person Identification.

Lior Gelberg, David Mendlovic, Dan Raviv

CoRR, 2020

Unsupervised Optical Flow Using Cost Function Unrolling.

Gal Lifshitz, Dan Raviv

CoRR, 2020

Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence.

Dvir Ginzburg, Dan Raviv

CoRR, 2020

OCR Graph Features for Manipulation Detection in Documents.

Hailey James, Otkrist Gupta, Dan Raviv

CoRR, 2020

Printing and Scanning Attack for Image Counter Forensics.

Hailey James, Otkrist Gupta, Dan Raviv

CoRR, 2020

Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes.

Dvir Ginzburg, Dan Raviv

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Multi-Velocity Neural Networks for Facial Expression Recognition in Videos.

Otkrist Gupta, Dan Raviv, Ramesh Raskar

IEEE Trans. Affect. Comput., 2019

2018

Illumination invariants in deep video expression recognition.

Otkrist Gupta, Dan Raviv, Ramesh Raskar

Pattern Recognit., 2018

2017

LRA: Local Rigid Averaging of Stretchable Non-rigid Shapes.

Dan Raviv, Eduardo Bayro-Corrochano, Ramesh Raskar

Int. J. Comput. Vis., 2017

2016

Multi-velocity neural networks for gesture recognition in videos.

Otkrist Gupta, Dan Raviv, Ramesh Raskar

CoRR, 2016

Deep video gesture recognition using illumination invariants.

Otkrist Gupta, Dan Raviv, Ramesh Raskar

CoRR, 2016

2015

Scale Invariant Metrics of Volumetric Datasets.

Dan Raviv, Ramesh Raskar

SIAM J. Imaging Sci., 2015

Affine Invariant Geometry for Non-rigid Shapes.

Dan Raviv, Ron Kimmel

Int. J. Comput. Vis., 2015

Coreset-Based Adaptive Tracking.

Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar

CoRR, 2015

2014

Equi-affine Invariant Geometry for Shape Analysis.

Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Dan Waisman, Nir A. Sochen, Ron Kimmel

J. Math. Imaging Vis., 2014

Evaluating Local Contractions from Large Deformations Using Affine Invariant Spectral Geometry.

Dan Raviv, Jon Lessick, Ramesh Raskar

Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

2013

Scale Invariant Geometry for Nonrigid Shapes.

Yonathan Aflalo, Ron Kimmel, Dan Raviv

SIAM J. Imaging Sci., 2013

Graph Isomorphisms and Automorphisms via Spectral Signatures.

Dan Raviv, Ron Kimmel, Alfred M. Bruckstein

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Non-rigid Shape Correspondence Using Pointwise Surface Descriptors and Metric Structures.

Anastasia Dubrovina, Dan Raviv, Ron Kimmel

Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

2012

Invariant metrics for non-rigid shapes.

Dan Raviv

PhD thesis, 2012

Affine-Invariant Photometric Heat Kernel Signatures.

Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, Ron Kimmel

Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Intrinsic Local Symmetries: A Computational Framework.

Carmi Grushko, Dan Raviv, Ron Kimmel

Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

2011

Affine-invariant geodesic geometry of deformable 3D shapes.

Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen

Comput. Graph., 2011

Equi-affine Invariant Geometries of Articulated Objects.

Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir A. Sochen

Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Hierarchical Matching of Non-rigid Shapes.

Dan Raviv, Anastasia Dubrovina, Ron Kimmel

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes.

Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel, Nir A. Sochen

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Full and Partial Symmetries of Non-rigid Shapes.

Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel

Int. J. Comput. Vis., 2010

Volumetric heat kernel signatures.

Dan Raviv, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel

Proceedings of the ACM workshop on 3D object retrieval, 2010

2007

Symmetries of non-rigid shapes.

Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007