Ali Diba

1.5k total citations
17 papers, 583 citations indexed

About

Ali Diba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Ali Diba has authored 17 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Building and Construction. Recurrent topics in Ali Diba's work include Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Ali Diba is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Ali Diba collaborates with scholars based in Belgium, United States and Switzerland. Ali Diba's co-authors include Luc Van Gool, Vivek Sharma, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Tinne Tuytelaars, Marco Pedersoli, Amir Ghodrati, Rainer Stiefelhagen and Ali Farhadi and has published in prestigious journals such as Multimedia Tools and Applications, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Ali Diba

16 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Diba Belgium	8	506	267	83	70	27	17	583
Sanath Narayan United Arab Emirates	9	488 1.0×	368 1.4×	62 0.7×	79 1.1×	28 1.0×	18	616
Zequn Qin China	9	342 0.7×	110 0.4×	92 1.1×	33 0.5×	13 0.5×	12	423
Yuanjie Shao China	11	558 1.1×	141 0.5×	265 3.2×	60 0.9×	68 2.5×	24	709
Rongchun Zhao China	8	198 0.4×	88 0.3×	67 0.8×	50 0.7×	17 0.6×	57	321
Lei Tian China	10	130 0.3×	77 0.3×	64 0.8×	23 0.3×	19 0.7×	32	315
Yanmin Luo China	11	244 0.5×	85 0.3×	34 0.4×	46 0.7×	14 0.5×	39	369
Fan Ma China	10	363 0.7×	184 0.7×	32 0.4×	27 0.4×	11 0.4×	22	476
Parthipan Siva Canada	10	379 0.7×	107 0.4×	55 0.7×	31 0.4×	26 1.0×	23	436
Lluís Castrejón Canada	4	294 0.6×	110 0.4×	55 0.7×	21 0.3×	11 0.4×	4	408
Alok Kumar Singh Kushwaha India	11	279 0.6×	113 0.4×	28 0.3×	61 0.9×	7 0.3×	56	362

Countries citing papers authored by Ali Diba

Since Specialization

Citations

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

Fields of papers citing papers by Ali Diba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Diba

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

All Works

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17 of 17 papers shown

Diba, Ali, Vivek Sharma, Mohammad Mahdi Arzani, & Luc Van Gool. (2023). Spatio-Temporal Convolution-Attention Video Network. 859–869. 2 indexed citations

Diba, Ali, et al.. (2021). Vi2CLR: Video and Image for Visual Contrastive Learning of Representation. 1502–1512. 4 indexed citations

Diba, Ali, Vivek Sharma, Reza Safdari, et al.. (2021). Vi²CLR: Video and Image for Visual Contrastive Learning of Representation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1482–1492. 31 indexed citations

Diba, Ali, Luc Van Eycken, Luc Van Gool, et al.. (2020). Show me where the action is!. Multimedia Tools and Applications. 80(1). 383–408.

Diba, Ali, Vivek Sharma, Rainer Stiefelhagen, & Luc Van Gool. (2019). Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks. 601–610. 6 indexed citations

Diba, Ali, Mohsen Fayyaz, Vivek Sharma, et al.. (2018). Temporal 3D ConvNets Using Temporal Transition Layer. Computer Vision and Pattern Recognition. 1117–1121. 18 indexed citations

Diba, Ali, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, & Luc Van Gool. (2017). Weakly Supervised Cascaded Convolutional Networks. Lirias (KU Leuven). 5131–5139. 193 indexed citations

Diba, Ali, Vivek Sharma, Rainer Stiefelhagen, & Luc Van Gool. (2017). Object Discovery By Generative Adversarial & Ranking Networks.. arXiv (Cornell University). 3 indexed citations

Diba, Ali, Vivek Sharma, & Luc Van Gool. (2017). Deep Temporal Linear Encoding Networks. Lirias (KU Leuven). 1541–1550. 148 indexed citations

10.

Diba, Ali, Ali Mohammad Pazandeh, & Luc Van Gool. (2017). Deep visual words: Improved fisher vector for image classification. Lirias (KU Leuven). 186–189. 7 indexed citations

11.

Diba, Ali, Ali Mohammad Pazandeh, Hamed Pirsiavash, & Luc Van Gool. (2016). DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. Lirias (KU Leuven). 3557–3565. 19 indexed citations

12.

Diba, Ali, et al.. (2016). Hyperspectral CNN for image classification & band selection, with application to face recognition. Lirias (KU Leuven). 47 indexed citations

13.

Andreasen, Christian, et al.. (2016). 2015 Establishing the Level of Progress in Utility Asset Management Survey Results. Proceedings of the Water Environment Federation. 2016(1). 462–490. 3 indexed citations

14.

Ghodrati, Amir, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, & Luc Van Gool. (2015). DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. Lirias (KU Leuven). 2578–2586. 77 indexed citations

15.

Andreasen, Christian, et al.. (2015). 2015 Establishing the Level of Progress in Utility Asset Management Survey Results. Proceedings of the Water Environment Federation. 2015(4). 1–29. 1 indexed citations

16.

Rastegari, Mohammad, Ali Diba, Devi Parikh, & Ali Farhadi. (2013). Multi-attribute Queries: To Merge or Not to Merge?. 3310–3317. 22 indexed citations

17.

Diba, Ali, et al.. (1992). Information Management in Water Resources: Database and GIS Integration. 369–374. 2 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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