Masoud Faraki

419 total citations
15 papers, 230 citations indexed

About

Masoud Faraki is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Masoud Faraki has authored 15 papers receiving a total of 230 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 2 papers in Signal Processing. Recurrent topics in Masoud Faraki's work include Face and Expression Recognition (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Video Surveillance and Tracking Methods (5 papers). Masoud Faraki is often cited by papers focused on Face and Expression Recognition (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Video Surveillance and Tracking Methods (5 papers). Masoud Faraki collaborates with scholars based in Australia, United States and Iran. Masoud Faraki's co-authors include Mehrtash Harandi, Fatih Porikli, Arnold Wiliem, Brian C. Lovell, Maziar Palhang, Conrad Sanderson, Manmohan Chandraker, Samuel Schulter, Yumin Suh and Yi‐Hsuan Tsai and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition Letters.

In The Last Decade

Masoud Faraki

15 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masoud Faraki Australia	10	163	70	52	19	17	15	230
Radu Preda Romania	10	306 1.9×	34 0.5×	26 0.5×	24 1.3×	24 1.4×	21	397
Zhun Sun Japan	8	268 1.6×	58 0.8×	79 1.5×	13 0.7×	13 0.8×	20	329
Ken Chatfield United Kingdom	6	537 3.3×	140 2.0×	91 1.8×	17 0.9×	17 1.0×	6	619
Damien Muselet France	10	276 1.7×	64 0.9×	76 1.5×	10 0.5×	10 0.6×	34	358
Lining Zhang Singapore	8	244 1.5×	64 0.9×	69 1.3×	6 0.3×	9 0.5×	23	334
Bilal Ahmad China	8	103 0.6×	92 1.3×	34 0.7×	13 0.7×	12 0.7×	30	226
Shiqiang Ma China	7	175 1.1×	55 0.8×	34 0.7×	13 0.7×	22 1.3×	21	263
Zhi Gao China	9	158 1.0×	128 1.8×	32 0.6×	7 0.4×	20 1.2×	18	286

Countries citing papers authored by Masoud Faraki

Since Specialization

Citations

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

Fields of papers citing papers by Masoud Faraki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Faraki

This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Faraki. A scholar is included among the top collaborators of Masoud Faraki 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 Masoud Faraki. Masoud Faraki 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

Deng, Weijian, et al.. (2023). Split to Learn: Gradient Split for Multi-Task Human Image Analysis. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4340–4349. 1 indexed citations

Faraki, Masoud, et al.. (2023). Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. 6154–6165. 3 indexed citations

Liu, Chang, Yu Xiang, Yi‐Hsuan Tsai, et al.. (2022). Learning to Learn across Diverse Data Biases in Deep Face Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4062–4072. 10 indexed citations

Simon, Christian, Masoud Faraki, Yi‐Hsuan Tsai, et al.. (2022). On Generalizing Beyond Domains in Cross-Domain Continual Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9255–9264. 20 indexed citations

Suh, Yumin, et al.. (2022). Controllable Dynamic Multi-Task Architectures. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10945–10954. 19 indexed citations

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2018). A Comprehensive Look at Coding Techniques on Riemannian Manifolds. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5701–5712. 9 indexed citations

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2017). Large-Scale Metric Learning: A Voyage From Shallow to Deep. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4339–4346. 3 indexed citations

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2017). No fuss metric learning, a Hilbert space scenario. Pattern Recognition Letters. 98. 83–89. 11 indexed citations

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2016). Image set classification by symmetric positive semi-definite matrices. 1–8. 14 indexed citations

10.

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2015). More about VLAD: A leap from Euclidean to Riemannian manifolds. 4951–4960. 26 indexed citations

11.

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2015). Approximate infinite-dimensional Region Covariance Descriptors for image classification. 1364–1368. 19 indexed citations

12.

Faraki, Masoud, Mehrtash Harandi, & Fatih Porikli. (2015). Material Classification on Symmetric Positive Definite Manifolds. 749–756. 13 indexed citations

13.

Faraki, Masoud & Mehrtash Harandi. (2014). Bag of riemannian words for virus classification. Lirias (KU Leuven). 271–283. 1 indexed citations

14.

Faraki, Masoud, Maziar Palhang, & Conrad Sanderson. (2014). Log‐Euclidean bag of words for human action recognition. IET Computer Vision. 9(3). 331–339. 32 indexed citations

15.

Faraki, Masoud, Mehrtash Harandi, Arnold Wiliem, & Brian C. Lovell. (2013). Fisher tensors for classifying human epithelial cells. Pattern Recognition. 47(7). 2348–2359. 49 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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