Afshin Dehghan

3.2k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Afshin Dehghan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Afshin Dehghan has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Ocean Engineering. Recurrent topics in Afshin Dehghan's work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Afshin Dehghan is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Afshin Dehghan collaborates with scholars based in United States, Netherlands and Italy. Afshin Dehghan's co-authors include Mubarak Shah, Rita Cucchiara, Simone Calderara, A.W.M. Smeulders, Yicong Tian, Enrique Ortiz, Ruben Villegas, Philip H. S. Torr, Guang Shu and Amir Zamir and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and arXiv (Cornell University).

In The Last Decade

Afshin Dehghan

16 papers receiving 1.6k citations

Hit Papers

Visual Tracking: An Experimental Survey 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Afshin Dehghan United States 8 1.5k 302 232 196 124 18 1.6k
Yuankai Qi China 22 1.6k 1.1× 315 1.0× 589 2.5× 224 1.1× 109 0.9× 65 1.9k
Di Yuan China 22 1.3k 0.9× 529 1.8× 210 0.9× 301 1.5× 153 1.2× 56 1.6k
Xingping Dong China 20 1.6k 1.0× 211 0.7× 296 1.3× 147 0.8× 91 0.7× 30 1.9k
Peng Chu China 13 1.6k 1.1× 478 1.6× 263 1.1× 305 1.6× 138 1.1× 34 1.9k
Olivier Barnich Belgium 5 1.5k 1.0× 189 0.6× 251 1.1× 223 1.1× 165 1.3× 9 1.7k
Paulo Borges Australia 17 881 0.6× 516 1.7× 125 0.5× 211 1.1× 192 1.5× 65 1.2k
Jérôme Berclaz Switzerland 11 1.6k 1.0× 262 0.9× 524 2.3× 84 0.4× 223 1.8× 15 1.8k
Michael D. Breitenstein Switzerland 9 1.1k 0.7× 181 0.6× 430 1.9× 76 0.4× 94 0.8× 11 1.2k
Seunghoon Hong South Korea 13 967 0.6× 90 0.3× 321 1.4× 90 0.5× 47 0.4× 25 1.2k

Countries citing papers authored by Afshin Dehghan

Since Specialization
Citations

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

Fields of papers citing papers by Afshin Dehghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Afshin Dehghan

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

All Works

18 of 18 papers shown
1.
Griffiths, David, et al.. (2025). Cubify Anything: Scaling Indoor 3D Object Detection. 22225–22233. 1 indexed citations
2.
Bachmann, Roman, Afshin Dehghan, Mingfei Gao, et al.. (2024). 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. 61872–61911. 1 indexed citations
3.
Chen, Zhuoyuan, et al.. (2021). ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data. arXiv (Cornell University). 6 indexed citations
4.
Tian, Yicong, Afshin Dehghan, & Mubarak Shah. (2018). On Detection, Data Association and Segmentation for Multi-Target Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9). 2146–2160. 46 indexed citations
5.
Dehghan, Afshin & Mubarak Shah. (2017). Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(3). 568–581. 32 indexed citations
6.
Dehghan, Afshin. (2016). Global Data Association for Multiple Pedestrian Tracking. Journal of International Crisis and Risk Communication Research. 1 indexed citations
7.
Dehghan, Afshin, et al.. (2015). GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking. Journal of International Crisis and Risk Communication Research. 4091–4099. 216 indexed citations
8.
Dehghan, Afshin, Yicong Tian, Philip H. S. Torr, & Mubarak Shah. (2015). Target Identity-aware Network Flow for online multiple target tracking. Journal of International Crisis and Risk Communication Research. 1146–1154. 78 indexed citations
9.
Dehghan, Afshin, Omar Oreifej, & Mubarak Shah. (2015). Complex event recognition using constrained low-rank representation. Image and Vision Computing. 42. 13–21. 1 indexed citations
10.
Smeulders, A.W.M., et al.. (2014). Visual Tracking: An Experimental Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(7). 1442–1468. 1093 indexed citations breakdown →
11.
Dehghan, Afshin, Enrique Ortiz, Ruben Villegas, & Mubarak Shah. (2014). Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders. Journal of International Crisis and Risk Communication Research. 84 indexed citations
12.
Dehghan, Afshin, Haroon Idrees, & Mubarak Shah. (2014). Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements. Journal of International Crisis and Risk Communication Research. 2585–2592. 4 indexed citations
13.
Borzeshi, Ehsan Zare, Afshin Dehghan, Massimo Piccardi, & Mubarak Shah. (2014). Complex event recognition by latent temporal models of concepts. Journal of International Crisis and Risk Communication Research. 2373–2377. 3 indexed citations
14.
Liu, Jingen, Hui Cheng, Omar Javed, et al.. (2013). SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting.. TRECVID. 5 indexed citations
15.
Dehghan, Afshin, et al.. (2013). UCF-CRCV at TRECVID 2013: Semantic Indexing.. Journal of International Crisis and Risk Communication Research.
16.
Shu, Guang, Afshin Dehghan, & Mubarak Shah. (2013). Improving an Object Detector and Extracting Regions Using Superpixels. Journal of International Crisis and Risk Communication Research. 3721–3727. 51 indexed citations
17.
Zamir, Amir, Afshin Dehghan, & Mubarak Shah. (2013). Visual business recognition. Journal of International Crisis and Risk Communication Research. 665–668. 7 indexed citations
18.
Cheng, Hui, Jingen Liu, Saad Ali, et al.. (2012). SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.. Journal of International Crisis and Risk Communication Research. 14 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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