Seunghoon Hong
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Safety, Risk, Reliability and Quality top 5%
- Aerospace Engineering top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Advanced Neural Network Applications (6 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Signal Processing Magazine2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Seunghoon Hong
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 967
- Artificial Intelligence 321
- Biomedical Engineering 107
- Safety, Risk, Reliability and Quality 90
- Aerospace Engineering 90
Countries citing papers authored by Seunghoon Hong
This map shows the geographic impact of Seunghoon Hong'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 Seunghoon Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunghoon Hong more than expected).
Fields of papers citing papers by Seunghoon Hong
This network shows the impact of papers produced by Seunghoon Hong. 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 Seunghoon Hong. The network helps show where Seunghoon Hong may publish in the future.
Co-authorship network of co-authors of Seunghoon Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Seunghoon Hong. A scholar is included among the top collaborators of Seunghoon Hong 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 Seunghoon Hong. Seunghoon Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationbreakdown → | 187 |
| 5 | 8 | |
| 6 | 3 | |
| 7 | Multi-View Representation Learning via Total Correlation Objective | 4 |
| 8 | 46 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 43 | |
| 12 | Decomposing Motion and Content for Natural Video Sequence Prediction | 60 |
| 13 | 93 | |
| 14 | 12 | |
| 15 | 34 | |
| 16 | 88 | |
| 17 | 114 | |
| 18 | Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Networkbreakdown → | 372 |
| 19 | 7 | |
| 20 | 12 |
About Seunghoon Hong
Seunghoon Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (967 citations), Artificial Intelligence (321 citations) and Safety, Risk, Reliability and Quality (90 citations). Seunghoon Hong has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Bohyung Han, Suha Kwak, Tackgeun You, Sung‐Eui Yoon, Woo Jae Kim, Honglak Lee, Hyeonwoo Noh, Xunyu Lin, Shuicheng Yan and Ruben Villegas. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Magazine and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.