Hedi Tabia

712 total citations
15 papers, 385 citations indexed

About

Hedi Tabia is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Hedi Tabia has authored 15 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 4 papers in Geology. Recurrent topics in Hedi Tabia's work include 3D Shape Modeling and Analysis (8 papers), Image Processing and 3D Reconstruction (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Hedi Tabia is often cited by papers focused on 3D Shape Modeling and Analysis (8 papers), Image Processing and 3D Reconstruction (4 papers) and 3D Surveying and Cultural Heritage (4 papers). Hedi Tabia collaborates with scholars based in France, Australia and China. Hedi Tabia's co-authors include Rim Slama, Tarek Ouni, Mohamed Abid, David Picard, Hamid Laga, Jean‐Philippe Vandeborre, Mohamed Daoudi, Ning Xie, Jinyuan Jia and Jeroen Hermans and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and ACM Computing Surveys.

In The Last Decade

Hedi Tabia

14 papers receiving 371 citations

Peers

Hedi Tabia

CVPR

CM

AI

GEOLO

CGCD

Zoë J. Wood United States

Filippo Stanco Italy

Pinaki Nath Chowdhury United Kingdom

Manish Singh India

Ayan Kumar Bhunia United Kingdom

Nanxuan Zhao Hong Kong

Filareti Tsalakanidou Greece

Yichao Zhou China

Taoufiq Gadi Morocco

Zhiyong Huang China

Zoë J. Wood United States

Hedi Tabia

242 ×1.1

CVPR

215 ×1.5

CM

8 ×0.2

AI

29 ×0.7

GEOLO

270 ×7.5

CGCD

Citations per year, relative to Hedi Tabia Hedi Tabia (= 1×) peers Zoë J. Wood

Countries citing papers authored by Hedi Tabia

Since Specialization

Citations

This map shows the geographic impact of Hedi Tabia'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 Hedi Tabia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hedi Tabia more than expected).

Fields of papers citing papers by Hedi Tabia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hedi Tabia. 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 Hedi Tabia. The network helps show where Hedi Tabia may publish in the future.

Co-authorship network of co-authors of Hedi Tabia

This figure shows the co-authorship network connecting the top 25 collaborators of Hedi Tabia. A scholar is included among the top collaborators of Hedi Tabia 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 Hedi Tabia. Hedi Tabia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

1.

Tabia, Hedi, et al.. (2024). Draft - Distilled Recurrent All-Pairs Field Transforms For Optical Flow. SPIRE - Sciences Po Institutional REpository. 1547–1553.

2.

Laga, Hamid, et al.. (2023). Structure learning for 3D Point Cloud Generation from Single RGB Images. Computer Graphics Forum. 42(7). 1 indexed citations

3.

Tabia, Hedi, et al.. (2023). Visual Navigation of UAVs in Indoor Corridor Environments using Deep Learning. SPIRE - Sciences Po Institutional REpository. 1–6. 5 indexed citations

4.

Slama, Rim, et al.. (2022). Generative Adversarial Networks for face generation: A survey. ACM Computing Surveys. 124 indexed citations

5.

Picard, David, et al.. (2020). Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization. IEEE Transactions on Image Processing. 29. 3569–3581. 42 indexed citations

6.

Tabia, Hedi, et al.. (2020). Dual Independent Classification For Sketch-Based 3D Shape Retrieval. HAL (Le Centre pour la Communication Scientifique Directe). 36. 2676–2680. 3 indexed citations

7.

Laga, Hamid, Yulan Guo, Hedi Tabia, Robert B. Fisher, & Mohammed Bennamoun. (2019). 3D shape analysis fundamentals, theory, and applications. CERN Document Server (European Organization for Nuclear Research). 14 indexed citations

8.

Laga, Hamid, et al.. (2018). Statistical Modeling of the 3D Geometry and Topology of Botanical Trees. Computer Graphics Forum. 37(5). 185–198. 12 indexed citations

9.

Wang, Guan, Hamid Laga, Ning Xie, Jinyuan Jia, & Hedi Tabia. (2018). The Shape Space of 3D Botanical Tree Models. ACM Transactions on Graphics. 37(1). 1–18. 24 indexed citations

10.

Laga, Hamid & Hedi Tabia. (2017). Modeling and Exploring Co‐variations in the Geometry and Configuration of Man‐made 3D Shape Families. Computer Graphics Forum. 36(5). 13–25. 3 indexed citations

11.

Lu, Yijuan, Fuqing Duan, Yiwei Fan, et al.. (2016). SHREC'16 Track: 3D Sketch-Based 3D Shape Retrieval. Murdoch Research Repository (Murdoch University). 8 indexed citations

12.

Li, Bo, Yijuan Lu, Fuqing Duan, et al.. (2016). 3D Sketch-Based 3D Shape Retrieval. Eurographics. 2 indexed citations

13.

Vandeborre, Jean‐Philippe & Hedi Tabia. (2014). Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval. 17 indexed citations

14.

Tabia, Hedi, Mohamed Daoudi, Jean‐Philippe Vandeborre, & Olivier Colot. (2013). A parts-based approach for automatic 3D shape categorization using belief functions. ACM Transactions on Intelligent Systems and Technology. 4(2). 1–16. 10 indexed citations

15.

Lian, Zhouhui, Afzal Godil, Benjamín Bustos, et al.. (2012). A comparison of methods for non-rigid 3D shape retrieval. Pattern Recognition. 46(1). 449–461. 120 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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