Hedi Tabia

2.0k total citations
42 papers, 788 citations indexed

About

Hedi Tabia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hedi Tabia has authored 42 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hedi Tabia's work include Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Human Pose and Action Recognition (8 papers). Hedi Tabia is often cited by papers focused on Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Human Pose and Action Recognition (8 papers). Hedi Tabia collaborates with scholars based in France, Tunisia and Algeria. Hedi Tabia's co-authors include David Picard, Diogo Luvizon, Hamid Laga, Philippe-Henri Gosselin, David Declercq, Walid Hariri, Nadir Farah, Mohamed Daoudi, Jean‐Philippe Vandeborre and Olivier Colot and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and ACM Computing Surveys.

In The Last Decade

Hedi Tabia

39 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hedi Tabia France 13 649 164 135 113 106 42 788
Rohit Girdhar United States 13 794 1.2× 388 2.4× 149 1.1× 70 0.6× 46 0.4× 19 1.2k
Sang Min Yoon South Korea 10 481 0.7× 87 0.5× 135 1.0× 133 1.2× 46 0.4× 50 608
Dehui Kong China 13 586 0.9× 269 1.6× 71 0.5× 62 0.5× 108 1.0× 91 732
Hehe Fan China 17 1.2k 1.8× 339 2.1× 155 1.1× 353 3.1× 50 0.5× 47 1.4k
Xi Peng United States 16 598 0.9× 307 1.9× 28 0.2× 112 1.0× 88 0.8× 41 984
Josep R. Casas Spain 16 642 1.0× 139 0.8× 92 0.7× 85 0.8× 124 1.2× 94 963
Shohei Nobuhara Japan 15 964 1.5× 200 1.2× 181 1.3× 116 1.0× 123 1.2× 64 1.3k
Ping Wei China 20 845 1.3× 366 2.2× 38 0.3× 120 1.1× 179 1.7× 102 1.1k
Jian Pu China 13 383 0.6× 164 1.0× 32 0.2× 85 0.8× 32 0.3× 55 672
Yujin Chen China 10 452 0.7× 136 0.8× 41 0.3× 163 1.4× 139 1.3× 16 622

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

20 of 20 papers shown
1.
Tabia, Hedi, et al.. (2025). A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images. SPIRE - Sciences Po Institutional REpository. 453–462. 1 indexed citations
2.
Sidibé, Désiré, et al.. (2025). Artificial Intelligence Cad Systems for the Detection and Classification of Retinal Diseases from Oct Images: A Review. SSRN Electronic Journal. 1 indexed citations
3.
Sidibé, Désiré, et al.. (2024). A new intelligent system based deep learning to detect DME and AMD in OCT images. International Ophthalmology. 44(1). 191–191. 6 indexed citations
4.
Mohr, Felix, et al.. (2024). DARIO: Differentiable Vision Transformer Pruning With Low-Cost Proxies. IEEE Journal of Selected Topics in Signal Processing. 18(6). 997–1009. 1 indexed citations
5.
Luvizon, Diogo, Hedi Tabia, & David Picard. (2023). SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression. Pattern Recognition. 142. 109714–109714. 10 indexed citations
6.
Sidibé, Désiré, et al.. (2023). Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning. International Journal of Biomedical Imaging. 2023. 1–10. 4 indexed citations
7.
Tabia, Hedi, et al.. (2023). D-DARTS: Distributed Differentiable Architecture Search. Pattern Recognition Letters. 176. 42–48. 6 indexed citations
8.
Sidibé, Désiré, et al.. (2023). Prediction of Postoperative Visual Acuity in Rhegmatogenous Retinal Detachment Using OCT Images. IEEE Access. 11. 135435–135448. 1 indexed citations
9.
Tabia, Hedi, et al.. (2023). Automated Siamese Network Design for Image Similarity Computation. SPIRE - Sciences Po Institutional REpository. 8–13. 1 indexed citations
10.
Guyon, Isabelle, et al.. (2023). RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. arXiv (Cornell University). 1–9. 2 indexed citations
11.
Jiang, Min, et al.. (2023). Action Text Diffusion Prior Network for Action Segmentation. SPIRE - Sciences Po Institutional REpository. 79–85.
12.
Luvizon, Diogo, David Picard, & Hedi Tabia. (2022). Consensus-Based Optimization for 3D Human Pose Estimation in Camera Coordinates. International Journal of Computer Vision. 130(3). 869–882. 21 indexed citations
13.
Slama, Rim, et al.. (2022). Generative Adversarial Networks for Face Generation: A Survey. ACM Computing Surveys. 55(5). 1–37. 61 indexed citations
14.
Tabia, Hedi, et al.. (2022). TopoNet: Topology Learning for 3D Reconstruction of Objects of Arbitrary Genus. Computer Graphics Forum. 41(6). 336–347. 8 indexed citations
15.
Kessentini, Yousri, et al.. (2020). Multi-stream Deep Networks for Vehicle Make and Model Recognition. HAL (Le Centre pour la Communication Scientifique Directe). 413–419.
16.
Chetouani, Aladine, et al.. (2020). Learnable pooling weights for facial expression recognition. Pattern Recognition Letters. 138. 644–650. 19 indexed citations
17.
Luvizon, Diogo, Hedi Tabia, & David Picard. (2017). Human Pose Regression by Combining Indirect Part Detection and\n Contextual Information. arXiv (Cornell University). 133 indexed citations
18.
Tabia, Hedi & Hamid Laga. (2017). Learning shape retrieval from different modalities. Neurocomputing. 253. 24–33. 12 indexed citations
19.
Tabia, Hedi, Hamid Laga, David Picard, & Philippe-Henri Gosselin. (2014). Covariance Descriptors for 3D Shape Matching and Retrieval. 4185–4192. 84 indexed citations
20.
Tabia, Hedi, Mohamed Daoudi, Jean‐Philippe Vandeborre, & Olivier Colot. (2010). A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(4). 852–858. 52 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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