Hae Jong Seo

706 total citations
14 papers, 511 citations indexed

About

Hae Jong Seo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Hae Jong Seo has authored 14 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Aerospace Engineering. Recurrent topics in Hae Jong Seo's work include Image and Signal Denoising Methods (4 papers), Advanced Image Processing Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Hae Jong Seo is often cited by papers focused on Image and Signal Denoising Methods (4 papers), Advanced Image Processing Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Hae Jong Seo collaborates with scholars based in United States. Hae Jong Seo's co-authors include Peyman Milanfar, Priyam Chatterjee, Hiroyuki Takeda and Hiroyuki Takeda and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Forensics and Security and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

Hae Jong Seo

14 papers receiving 478 citations

Peers

Hae Jong Seo
Lina Wei China
Songyuan Li China
Yanan Guo China
Qi Ma China
Zijun Deng China
Vicky Kalogeiton France
Bipin Suresh United States
Shaojie Wang China
Stephan Gammeter Switzerland
Hassan Farsi Iran
Lina Wei China
Hae Jong Seo
Citations per year, relative to Hae Jong Seo Hae Jong Seo (= 1×) peers Lina Wei

Countries citing papers authored by Hae Jong Seo

Since Specialization
Citations

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

Fields of papers citing papers by Hae Jong Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Jong Seo. 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 Hae Jong Seo. The network helps show where Hae Jong Seo may publish in the future.

Co-authorship network of co-authors of Hae Jong Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Hae Jong Seo. A scholar is included among the top collaborators of Hae Jong Seo 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 Hae Jong Seo. Hae Jong Seo 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.
Milanfar, Peyman & Hae Jong Seo. (2011). Robust visual recognition with locally adaptive regression kernels. 16(3). 657–66. 1 indexed citations
2.
Seo, Hae Jong & Peyman Milanfar. (2011). Iteratively merging information from a pair of flash/no-flash images using nonlinear diffusion. 1324–1331. 2 indexed citations
3.
Seo, Hae Jong & Peyman Milanfar. (2011). Face Verification Using the LARK Representation. IEEE Transactions on Information Forensics and Security. 6(4). 1275–1286. 105 indexed citations
4.
Seo, Hae Jong & Peyman Milanfar. (2010). Action Recognition from One Example. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(5). 867–882. 115 indexed citations
5.
Seo, Hae Jong & Peyman Milanfar. (2010). Visual saliency for automatic target detection, boundary detection, and image quality assessment. 1. 5578–5581. 19 indexed citations
6.
Seo, Hae Jong & Peyman Milanfar. (2009). Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(9). 1688–1704. 101 indexed citations
7.
Seo, Hae Jong & Peyman Milanfar. (2009). A non-parametric approach to automatic change detection in MRI images of the brain. 245–248. 10 indexed citations
8.
Seo, Hae Jong & Peyman Milanfar. (2009). Nonparametric bottom-up saliency detection by self-resemblance. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 14 indexed citations
9.
Seo, Hae Jong & Peyman Milanfar. (2009). Detection of human actions from a single example. 1965–1970. 33 indexed citations
10.
Seo, Hae Jong & Peyman Milanfar. (2009). Nonparametric bottom-up saliency detection by self-resemblance. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 45–52. 81 indexed citations
11.
Seo, Hae Jong & Peyman Milanfar. (2008). Using local regression kernels for statistical object detection. 2380–2383. 9 indexed citations
12.
Seo, Hae Jong & Peyman Milanfar. (2008). Video denoising using higher order optimal space-time adaptation. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1249–1252. 8 indexed citations
13.
Takeda, Hiroyuki, Hae Jong Seo, & Peyman Milanfar. (2008). Statistical Approaches to Quality Assessment for Image Restoration. 1–2. 1 indexed citations
14.
Seo, Hae Jong, Priyam Chatterjee, Hiroyuki Takeda, & Peyman Milanfar. (2007). A Comparison of Some State of the Art Image Denoising Methods. Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers. 15. 518–522. 12 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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