Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes. - Dvir Ginzburg; Dan Raviv (ECCV (5), 2020)

Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence. - Dvir Ginzburg; Dan Raviv (CoRR, 2020)

Unsupervised Scale-Invariant Multispectral Shape Matching. - Idan Pazi; Dvir Ginzburg; Dan Raviv (CoRR, 2020)

Dual Geometric Graph Network (DG2N) Iterative Network for Deformable Shape Alignment. - Dvir Ginzburg; Dan Raviv (3DV, 2021)

DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction. - Itai Lang; Dvir Ginzburg; Shai Avidan; Dan Raviv (3DV, 2021)

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. - Dvir Ginzburg; Itzik Malkiel; Oren Barkan; Avi Caciularu; Noam Koenigstein (ACL/IJCNLP (Findings), 2021)

Spectral Teacher for a Spatial Student: Spectrum-Aware Real-Time Dense Shape Correspondence. - Omri Efroni; Dvir Ginzburg; Dan Raviv (3DV, 2022)

Deep Confidence Guided Distance for 3D Partial Shape Registration. - Dvir Ginzburg; Dan Raviv (AAAI, 2022)

Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. - Itzik Malkiel; Dvir Ginzburg; Oren Barkan; Avi Caciularu; Yoni Weill; Noam Koenigstein (ICASSP, 2022)

Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration. - Dvir Ginzburg; Dan Raviv (ICIP, 2022)

Shape-Consistent Generative Adversarial Networks for Multi-Modal Medical Segmentation Maps. - Leo Segre; Or Hirschorn; Dvir Ginzburg; Dan Raviv (ISBI, 2022)

Interpreting BERT-based Text Similarity via Activation and Saliency Maps. - Itzik Malkiel; Dvir Ginzburg; Oren Barkan; Avi Caciularu; Jonathan Weill; Noam Koenigstein (WWW, 2022)

Selective sampling with Gromov-Hausdorff metric: Efficient dense-shape correspondence via Confidence-based sample consensus. - Dvir Ginzburg; Dan Raviv (Virtual Real. Intell. Hardw., 2024)