Fadime Şener

778 total citations
14 papers, 287 citations indexed

About

Fadime Şener is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Fadime Şener has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Fadime Şener's work include Human Pose and Action Recognition (10 papers), Multimodal Machine Learning Applications (6 papers) and Video Analysis and Summarization (4 papers). Fadime Şener is often cited by papers focused on Human Pose and Action Recognition (10 papers), Multimodal Machine Learning Applications (6 papers) and Video Analysis and Summarization (4 papers). Fadime Şener collaborates with scholars based in Germany, Singapore and United States. Fadime Şener's co-authors include Angela Yao, Kun He, Nazlı İkizler-Cinbiş, Dipika Singhania, Robert Wang, Cem Keskin, Tomáš Hodaň, Luan Tran, Pınar Duygulu and Shugao Ma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and Computer Vision and Image Understanding.

In The Last Decade

Fadime Şener

13 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fadime Şener Germany 8 233 119 40 39 24 14 287
Andrei Barbu United States 9 267 1.1× 263 2.2× 9 0.2× 24 0.6× 27 1.1× 22 376
Toby Perrett United Kingdom 7 306 1.3× 163 1.4× 30 0.8× 24 0.6× 36 1.5× 15 368
Haoyu Ma United States 8 112 0.5× 43 0.4× 33 0.8× 14 0.4× 17 0.7× 16 176
Tai-Peng Tian United States 8 218 0.9× 72 0.6× 61 1.5× 57 1.5× 46 1.9× 14 269
Preksha Pareek India 5 213 0.9× 159 1.3× 29 0.7× 8 0.2× 68 2.8× 11 313
Jonathan Munro United Kingdom 3 257 1.1× 129 1.1× 23 0.6× 23 0.6× 19 0.8× 3 302
Michael Wray United Kingdom 5 351 1.5× 181 1.5× 32 0.8× 23 0.6× 26 1.1× 11 416
Will Price United Kingdom 3 255 1.1× 131 1.1× 23 0.6× 23 0.6× 20 0.8× 3 298
Bogdan Boteanu Romania 8 255 1.1× 43 0.4× 59 1.5× 24 0.6× 42 1.8× 14 326
Charul Bhatnagar India 10 228 1.0× 73 0.6× 62 1.6× 14 0.4× 39 1.6× 39 315

Countries citing papers authored by Fadime Şener

Since Specialization
Citations

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

Fields of papers citing papers by Fadime Şener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadime Şener

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

All Works

14 of 14 papers shown
1.
2.
Şener, Fadime, Edoardo Remelli, Bugra Tekin, et al.. (2024). X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. 26354–26363. 1 indexed citations
3.
Şener, Fadime, Edoardo Remelli, Tomáš Hodaň, et al.. (2024). DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions. 1–11. 2 indexed citations
4.
He, Kun, et al.. (2023). AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation. 12999–13008. 27 indexed citations
5.
Şener, Fadime, et al.. (2023). Temporal Action Segmentation: An Analysis of Modern Techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 1011–1030. 34 indexed citations
6.
Şener, Fadime, et al.. (2022). Transferring Knowledge From Text to Video: Zero-Shot Anticipation for Procedural Actions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7836–7852. 10 indexed citations
7.
Şener, Fadime, et al.. (2022). Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21064–21074. 80 indexed citations
8.
Şener, Fadime, et al.. (2022). Transformed ROIs for capturing visual transformations in videos. Computer Vision and Image Understanding. 224. 103558–103558. 1 indexed citations
9.
Şener, Fadime & Angela Yao. (2019). Zero-Shot Anticipation for Instructional Activities. 862–871. 28 indexed citations
10.
Şener, Fadime & Angela Yao. (2018). Unsupervised Learning and Segmentation of Complex Activities from Video. 8368–8376. 55 indexed citations
11.
Şener, Fadime, et al.. (2017). DRAW. 338–346. 15 indexed citations
12.
Şener, Fadime, et al.. (2016). Creating image tags for text based image retrieval using additional corpora. 1321–1324. 6 indexed citations
13.
Şener, Fadime & Nazlı İkizler-Cinbiş. (2015). Two-person interaction recognition via spatial multiple instance embedding. Journal of Visual Communication and Image Representation. 32. 63–73. 27 indexed citations
14.
Şener, Fadime & Nazlı İkizler-Cinbiş. (2014). Ensemble of multiple instance classifiers for image re-ranking. Image and Vision Computing. 32(5). 348–362. 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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