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Dvir Ginzburg
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2020 – today
- 2024
- [j1]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) - 2022
- [c10]Omri Efroni, Dvir Ginzburg, Dan Raviv:
Spectral Teacher for a Spatial Student: Spectrum-Aware Real-Time Dense Shape Correspondence. 3DV 2022: 1-10 - [c9]Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. AAAI 2022: 706-714 - [c8]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
:
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP 2022: 1-5 - [c7]Dvir Ginzburg, Dan Raviv:
Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration. ICIP 2022: 71-75 - [c6]Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps. ISBI 2022: 1-5 - [c5]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW 2022: 3259-3268 - [i10]Leo Segre, Or Hirschorn, Dvir Ginzburg, Dan Raviv:
Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps. CoRR abs/2201.09693 (2022) - [i9]Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. CoRR abs/2201.11379 (2022) - [i8]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein:
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR abs/2208.06610 (2022) - [i7]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR abs/2208.06612 (2022) - 2021
- [c4]Dvir Ginzburg, Dan Raviv:
Dual Geometric Graph Network (DG2N) Iterative Network for Deformable Shape Alignment. 3DV 2021: 1341-1350 - [c3]Itai Lang
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. 3DV 2021: 1442-1451 - [c2]Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. ACL/IJCNLP (Findings) 2021: 3088-3098 - [i6]Dvir Ginzburg, Dan Raviv:
Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration. CoRR abs/2105.02714 (2021) - [i5]Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein:
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR abs/2106.01186 (2021) - [i4]Itai Lang, Dvir Ginzburg, Shai Avidan, Dan Raviv:
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. CoRR abs/2110.08636 (2021) - 2020
- [c1]Dvir Ginzburg, Dan Raviv:
Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes. ECCV (5) 2020: 36-52 - [i3]Dvir Ginzburg, Dan Raviv:
Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence. CoRR abs/2011.14723 (2020) - [i2]Idan Pazi, Dvir Ginzburg, Dan Raviv:
Unsupervised Scale-Invariant Multispectral Shape Matching. CoRR abs/2012.10685 (2020)
2010 – 2019
- 2019
- [i1]Dvir Ginzburg, Dan Raviv:
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. CoRR abs/1912.01249 (2019)
Coauthor Index
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