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Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps


Feb 04, 2022
Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv


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Deep Confidence Guided Distance for 3D Partial Shape Registration


Jan 27, 2022
Dvir Ginzburg, Dan Raviv


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


Dec 23, 2021
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 Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, SamuelJ outard, 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, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich


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DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction


Oct 16, 2021
Itai Lang, Dvir Ginzburg, Shai Avidan, Dan Raviv

* 3DV 2021 

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Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration


May 06, 2021
Dvir Ginzburg, Dan Raviv


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


Apr 10, 2021
Bojun Ouyang, Dan Raviv


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Unsupervised Scale-Invariant Multispectral Shape Matching


Dec 19, 2020
Idan Pazi, Dvir Ginzburg, Dan Raviv


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Geometry Enhancements from Visual Content: Going Beyond Ground Truth


Dec 15, 2020
Liran Azaria, Dan Raviv


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Skeleon-Based Typing Style Learning For Person Identification


Dec 06, 2020
Lior Gelberg, David Mendlovic, Dan Raviv

* 9 pages 

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


Dec 05, 2020
Meytal Rapoport-Lavie, Dan Raviv


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Occlusion Guided Scene Flow Estimation on 3D Point Clouds


Nov 30, 2020
Bojun Ouyang, Dan Raviv


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Unsupervised Optical Flow Using Cost Function Unrolling


Nov 30, 2020
Gal Lifshitz, Dan Raviv


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


Nov 30, 2020
Dvir Ginzburg, Dan Raviv


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FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation


Nov 19, 2020
Yair Kittenplon, Yonina C. Eldar, Dan Raviv


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OCR Graph Features for Manipulation Detection in Documents


Sep 14, 2020
Hailey James, Otkrist Gupta, Dan Raviv


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


Sep 11, 2020
Yichuan Liu, Hailey James, Otkrist Gupta, Dan Raviv


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Printing and Scanning Attack for Image Counter Forensics


Apr 27, 2020
Hailey James, Otkrist Gupta, Dan Raviv

* 10 pages, 5 figures, 7 tables 

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Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes


Dec 03, 2019
Dvir Ginzburg, Dan Raviv


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Multi-velocity neural networks for gesture recognition in videos


Mar 22, 2016
Otkrist Gupta, Dan Raviv, Ramesh Raskar


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Deep video gesture recognition using illumination invariants


Mar 21, 2016
Otkrist Gupta, Dan Raviv, Ramesh Raskar


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Coreset-Based Adaptive Tracking


Nov 19, 2015
Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar

* 8 pages, 5 figures, In submission to IEEE TPAMI (Transactions on Pattern Analysis and Machine Intelligence) 

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Affine-invariant geodesic geometry of deformable 3D shapes


Dec 29, 2010
Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir Sochen


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


Dec 29, 2010
Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Nir Sochen


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