Demo Data from EDBT 2026 / reviewers in the wild / expert
Jacob Rubinstein
dblp:01/110
· DBLP profile ↗
7ranked-venue papers
3as first author
1since 2021 · last 2023
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 3 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Vision and language · 100% | |
| Computer graphics and multimedia
2 papers |
Geometric modeling and processing · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Vision and language
grounded language learning |
0.7 | 1 | 2023 | Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract) · AAAI 2023 |
Geometric modeling and processing
3d reconstruction |
0.2 | 1 | 2023 | Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract) · AAAI 2023 |
Geometric modeling and processing › 3d reconstruction
photogrammetry |
0.2 | 1 | 2023 | Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract) · AAAI 2023 |
Immersive interaction
virtual reality |
0.2 | 1 | 2023 | Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract) · AAAI 2023 |
Methods — techniques the papers use, named apart from their topics
contrastive learning · 2.0coordinate transformation · 0.0biological vision modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract)abstractThe overarching goal of this work is to enable the collection of language describing a wide variety of objects viewed in virtual reality. We aim to create full 3D models from a small number of ‘keyframe’ images of objects found in the publicly available Grounded Language Dataset (GoLD) using photogrammetry. We will then collect linguistic descriptions by placing our models in virtual reality and having volunteers describe them. To evaluate the impact of virtual reality immersion on linguistic descriptions of the objects, we intend to apply contrastive learning to perform grounded language learning, then compare the descriptions collected from images (in GoLD) versus our models. Jacob Rubinstein, Cynthia Matuszek, Don Engel |
AAAI | 1 |
| 1994 | Signal and image reconstruction from partial Fourier phaseabstractA novel approach to signal representation by partial Fourier phase is given. It is shown that an amplitude-dependent bit allocation method preserves most of the signal's structures. Improved reconstruction algorithms are illustrated using imprecise phase and some of the signal's statistical characteristics. A recent complementary study provides a classification algorithm based on partial phase information, which is invariant to 2D similarity deformations (scale, rotation and shift). Moshe Elbaz, Zamir Abraham, Jacob Rubinstein, Yehoshua Y. Zeevi |
ICPR (3) | 3 |
| 1994 | Computation of Offset Curves by the Huygens PrincipleabstractAbstract A new algorithm for computing offset curves is proposed. The algorithm is based on the Huygens principle for propagating wave‐fronts. It automatically avoids the topological singularities that appear in conventional methods. The algorithm is simple to implement and it does not require any multiplication or other floating number operations. A. Mikheev, M. Nozik, Jacob Rubinstein |
Comput. Graph. Forum | 3 |
| 1994 | The canonical coordinates method for pattern recognition--II. Isomorphisms with affine transformations
Naomi Blatt, Jacob Rubinstein |
Pattern Recognit. | 2 |
| 1992 | The Canonical Coordinates Method for Pattern Deformation: Theoretical and Computational ConsiderationsabstractA method for the analysis of deformed patterns is presented and analyzed. The image is transformed into a new set of coordinates in which the deformation has a particular simple form. A number of deformations are considered. The practical implementation of the method is discussed. Similar aspects of biological vision are also considered.> Joseph Segman, Jacob Rubinstein, Yehoshua Y. Zeevi |
IEEE Trans. Pattern Anal. Mach. Intell. | 2 |
| 1991 | Recognition of distorted patterns by invariance kernels
Jacob Rubinstein, Joseph Segman, Yehoshua Y. Zeevi |
Pattern Recognit. | 1 |
| 1990 | Recognition of distorted patterns by invariance kernelsabstractA method for the recognition of deformed patterns is presented. It is is shown that for planar deformations generated by Lie transformation groups, there exist kernels such that the associated integral transforms are invariant under the deformations. Many examples of deformations and the corresponding kernels are given. It is possible to extend the results to higher dimensions.> Jacob Rubinstein, Joseph Segman, Yehoshua Y. Zeevi |
ICPR (2) | 1 |