Hossein Talebi

2.1k total citations · 1 hit paper
27 papers, 753 citations indexed

About

Hossein Talebi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Hossein Talebi has authored 27 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Hossein Talebi's work include Image and Signal Denoising Methods (15 papers), Advanced Image Processing Techniques (15 papers) and Image Enhancement Techniques (8 papers). Hossein Talebi is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Advanced Image Processing Techniques (15 papers) and Image Enhancement Techniques (8 papers). Hossein Talebi collaborates with scholars based in United States, Canada and Iran. Hossein Talebi's co-authors include Peyman Milanfar, Feng Yang, Zhengzhong Tu, Yinxiao Li, Han Zhang, Alan C. Bovik, Xiang Zhu, Mauricio Delbracio, Guido Gerig and Balu Adsumilli and has published in prestigious journals such as IEEE Transactions on Image Processing, Sustainable Cities and Society and SIAM Journal on Imaging Sciences.

In The Last Decade

Hossein Talebi

23 papers receiving 730 citations

Hit Papers

MAXIM: Multi-Axis MLP for Image Processing 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MAXIM: Multi-Axis MLP for Image Processing
    2022 350 citations Zhengzhong Tu, Hossein Talebi et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hossein Talebi United States 10 647 306 68 54 38 27 753
Samuel Schulter United States 14 756 1.2× 330 1.1× 39 0.6× 121 2.2× 22 0.6× 31 854
Asem Khmag Libya 11 378 0.6× 271 0.9× 17 0.3× 30 0.6× 37 1.0× 40 460
Jiangxin Dong China 16 735 1.1× 443 1.4× 30 0.4× 37 0.7× 44 1.2× 26 845
Shangchen Zhou Singapore 15 1.1k 1.7× 257 0.8× 24 0.4× 100 1.9× 39 1.0× 36 1.2k
Haoyuan Mu China 3 553 0.9× 185 0.6× 29 0.4× 221 4.1× 21 0.6× 3 650
Naejin Kong South Korea 6 574 0.9× 149 0.5× 51 0.8× 45 0.8× 50 1.3× 7 707
S.X. Liao Canada 9 612 0.9× 103 0.3× 30 0.4× 73 1.4× 16 0.4× 13 691
Huan Xu China 3 372 0.6× 112 0.4× 33 0.5× 60 1.1× 30 0.8× 4 478
Xiangjun Zhang China 8 464 0.7× 205 0.7× 58 0.9× 26 0.5× 23 0.6× 15 565

Countries citing papers authored by Hossein Talebi

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Talebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Talebi

This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Talebi. A scholar is included among the top collaborators of Hossein Talebi 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 Hossein Talebi. Hossein Talebi 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.
2.
Talebi, Hossein, Aliyeh Kazemi, Hamed Shakouri G., Ayse Selin Kocaman, & Nigel Caldwell. (2024). An integrated price- and incentive-based demand response program for smart residential buildings: A robust multi-objective model. Sustainable Cities and Society. 113. 105664–105664. 8 indexed citations
3.
Mei, Kangfu, Mauricio Delbracio, Hossein Talebi, et al.. (2024). CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. 9048–9058. 4 indexed citations
4.
Delbracio, Mauricio, et al.. (2023). Multiscale Structure Guided Diffusion for Image Deblurring. 10687–10699. 40 indexed citations
5.
Tu, Zhengzhong, Peyman Milanfar, & Hossein Talebi. (2023). MULLER: Multilayer Laplacian Resizer for Vision. 6854–6864. 1 indexed citations
6.
Tu, Zhengzhong, Hossein Talebi, Han Zhang, et al.. (2022). MAXIM: Multi-Axis MLP for Image Processing. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5759–5770. 350 indexed citations breakdown →
7.
Wang, Yilin, Neil Birkbeck, Junjie Ke, et al.. (2022). Revisiting the Efficiency of UGC Video Quality Assessment. 2022 IEEE International Conference on Image Processing (ICIP). 2 indexed citations
8.
Talebi, Hossein, Damien P. Kelly, Xiyang Luo, et al.. (2021). Better Compression With Deep Pre-Editing. IEEE Transactions on Image Processing. 30. 6673–6685. 17 indexed citations
9.
Wang, Yilin, Junjie Ke, Hossein Talebi, et al.. (2021). Rich features for perceptual quality assessment of UGC videos. 13430–13439. 53 indexed citations
10.
Talebi, Hossein, Ehsan Amid, Peyman Milanfar, & Manfred K. Warmuth. (2020). Rank-Smoothed Pairwise Learning In Perceptual Quality Assessment. 3413–3417. 3 indexed citations
11.
Wang, Yilin, Hossein Talebi, Feng Yang, et al.. (2020). Video transcoding optimization based on input perceptual quality. 37–37. 5 indexed citations
12.
Xiang, Zhu, Hossein Talebi, Xinwei Shi, Feng Yang, & Peyman Milanfar. (2020). Super-Resolving Commercial Satellite Imagery Using Realistic Training Data. 498–502. 9 indexed citations
13.
Bagheri, Saeed, Hossein Talebi, & Alireza Fereidunian. (2018). Resilient, Comfort and Economic Operation of Smart Nanogrid. 12(3). 1–12. 4 indexed citations
14.
Milanfar, Peyman & Hossein Talebi. (2016). A new class of image filters without normalization. 3294–3298. 3 indexed citations
15.
Talebi, Hossein & Marina L. Gavrilova. (2015). Prior resemblance probability of users for multimodal biometrics rank fusion. 14. 1–7. 1 indexed citations
16.
Talebi, Hossein & Peyman Milanfar. (2014). Global denoising is asymptotically optimal. 16. 818–822. 1 indexed citations
17.
Talebi, Hossein & Peyman Milanfar. (2014). Nonlocal Image Editing. IEEE Transactions on Image Processing. 23(10). 4460–4473. 13 indexed citations
18.
Talebi, Hossein & Peyman Milanfar. (2014). Global Image Denoising. IEEE Transactions on Image Processing. 23(2). 755–768. 129 indexed citations
19.
Talebi, Hossein & Peyman Milanfar. (2012). Improving denoising filters by optimal diffusion. 1181–1184. 2 indexed citations
20.
Talebi, Hossein, et al.. (2011). A Supervised Method for Determining Displacement of Gray Level Co-Occurrence Matrix. 1–5. 10 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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