Hadar Averbuch‐Elor

1.1k total citations
23 papers, 360 citations indexed

About

Hadar Averbuch‐Elor is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Hadar Averbuch‐Elor has authored 23 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Hadar Averbuch‐Elor's work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (6 papers) and Computer Graphics and Visualization Techniques (6 papers). Hadar Averbuch‐Elor is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (6 papers) and Computer Graphics and Visualization Techniques (6 papers). Hadar Averbuch‐Elor collaborates with scholars based in Israel, United States and United Kingdom. Hadar Averbuch‐Elor's co-authors include Daniel Cohen‐Or, Johannes Kopf, Michael F. Cohen, Noah Snavely, Zekun Hao, Serge Belongie, Nadav Bar, Or Patashnik, Peter Hedman and Ruojin Cai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

Hadar Averbuch‐Elor

20 papers receiving 349 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hadar Averbuch‐Elor Israel 9 275 92 87 60 32 23 360
Katja Schwarz Germany 3 214 0.8× 59 0.6× 83 1.0× 56 0.9× 14 0.4× 3 256
Diego Macrini Canada 10 396 1.4× 185 2.0× 58 0.7× 46 0.8× 32 1.0× 12 463
Konstantinos Rematas Germany 11 340 1.2× 55 0.6× 124 1.4× 33 0.6× 7 0.2× 20 378
Yuxin Zhang China 7 208 0.8× 23 0.3× 59 0.7× 54 0.9× 34 1.1× 38 293
Yanze Wu China 3 199 0.7× 22 0.2× 61 0.7× 54 0.9× 14 0.4× 5 281
Ligong Han United States 8 207 0.8× 15 0.2× 48 0.6× 58 1.0× 13 0.4× 19 278
Libor Váša Czechia 11 299 1.1× 217 2.4× 266 3.1× 9 0.1× 57 1.8× 35 433
Gwanghyun Kim South Korea 3 227 0.8× 32 0.3× 51 0.6× 62 1.0× 20 0.6× 3 283
Samaneh Azadi United States 7 133 0.5× 32 0.3× 22 0.3× 60 1.0× 14 0.4× 11 204
Shanchuan Lin United States 5 223 0.8× 58 0.6× 49 0.6× 75 1.3× 15 0.5× 5 316

Countries citing papers authored by Hadar Averbuch‐Elor

Since Specialization
Citations

This map shows the geographic impact of Hadar Averbuch‐Elor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hadar Averbuch‐Elor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadar Averbuch‐Elor more than expected).

Fields of papers citing papers by Hadar Averbuch‐Elor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hadar Averbuch‐Elor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hadar Averbuch‐Elor. The network helps show where Hadar Averbuch‐Elor may publish in the future.

Co-authorship network of co-authors of Hadar Averbuch‐Elor

This figure shows the co-authorship network connecting the top 25 collaborators of Hadar Averbuch‐Elor. A scholar is included among the top collaborators of Hadar Averbuch‐Elor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hadar Averbuch‐Elor. Hadar Averbuch‐Elor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Averbuch‐Elor, Hadar, et al.. (2024). Spice·E: Structural Priors in 3D Diffusion using Cross-Entity Attention. 1–11. 1 indexed citations
3.
Hanocka, Rana, et al.. (2024). HaLo‐NeRF: Learning Geometry‐Guided Semantics for Exploring Unconstrained Photo Collections. Computer Graphics Forum. 43(2). 1 indexed citations
4.
Giryes, Raja, et al.. (2024). Mitigating Open-Vocabulary Caption Hallucinations. 22680–22698. 1 indexed citations
5.
Sun, Jin, et al.. (2023). What's in a Decade? Transforming Faces Through Time. Computer Graphics Forum. 42(2). 281–291.
6.
Averbuch‐Elor, Hadar, et al.. (2023). Kiki or Bouba? Sound Symbolism in Vision-and-Language Models. 78347–78359.
7.
Patashnik, Or, et al.. (2023). Localizing Object-level Shape Variations with Text-to-Image Diffusion Models. 22994–23004. 41 indexed citations
8.
Lin, Haotong, Ruojin Cai, Sida Peng, et al.. (2023). Neural Scene Chronology. 20752–20761. 5 indexed citations
9.
Averbuch‐Elor, Hadar, et al.. (2023). Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding. 6778–6788. 1 indexed citations
10.
Cai, Ruojin, et al.. (2023). Doppelgangers: Learning to Disambiguate Images of Similar Structures. 34–44. 6 indexed citations
11.
Averbuch‐Elor, Hadar, et al.. (2023). Learning Human-Human Interactions in Images from Weak Textual Supervision. 2875–2887. 1 indexed citations
12.
Cai, Ruojin, Bharath Hariharan, Noah Snavely, & Hadar Averbuch‐Elor. (2021). Extreme Rotation Estimation using Dense Correlation Volumes. 14561–14570. 16 indexed citations
13.
Averbuch‐Elor, Hadar, et al.. (2021). Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 418–427. 8 indexed citations
14.
Hao, Zekun, Hadar Averbuch‐Elor, Noah Snavely, & Serge Belongie. (2020). DualSDF: Semantic Shape Manipulation Using a Two-Level Representation. 7628–7638. 56 indexed citations
15.
Averbuch‐Elor, Hadar, Johannes Kopf, Tamir Hazan, & Daniel Cohen‐Or. (2018). Co-segmentation for space-time co-located collections. The Visual Computer. 34(12). 1761–1772. 4 indexed citations
16.
Averbuch‐Elor, Hadar, Daniel Cohen‐Or, Johannes Kopf, & Michael F. Cohen. (2017). Bringing portraits to life. ACM Transactions on Graphics. 36(6). 1–13. 106 indexed citations
17.
Averbuch‐Elor, Hadar, Daniel Cohen‐Or, & Johannes Kopf. (2016). Smooth Image Sequences for Data‐driven Morphing. Computer Graphics Forum. 35(2). 203–213. 9 indexed citations
18.
Averbuch‐Elor, Hadar & Daniel Cohen‐Or. (2015). RingIt. ACM Transactions on Graphics. 34(3). 1–11. 8 indexed citations
19.
Averbuch‐Elor, Hadar, Yunhai Wang, Yiming Qian, et al.. (2015). Distilled Collections from Textual Image Queries. Computer Graphics Forum. 34(2). 131–142. 10 indexed citations
20.
Averbuch‐Elor, Hadar, et al.. (2015). Spherical embedding of inlier silhouette dissimilarities. 25. 3855–3863. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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