Junhwa Hur
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Vision and Imaging 9
- Advanced Image Processing Techniques 3
- Image Enhancement Techniques 2
- Video Surveillance and Tracking Methods 2
- Optical measurement and interference techniques 1
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Stefan Roth (1 shared paper)Seung‐Woo Seo (2 shared papers)Charles Herrmann (7 shared papers)Hwasup Lim (1 shared paper)Chang‐Soo Park (1 shared paper)Sang Chul Ahn (1 shared paper)Deqing Sun (2 shared papers)Michael Rubinstein (3 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Junhwa Hur
13 papers receiving 567 citations
Junhwa Hur's Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 473
- Automotive Engineering 127
- Computer Graphics and Computer-Aided Design 26
- Media Technology 58
- Environmental Engineering 40
Countries citing papers authored by Junhwa Hur
This map shows the geographic impact of Junhwa Hur'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 Junhwa Hur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhwa Hur more than expected).
Fields of papers citing papers by Junhwa Hur
This network shows the impact of papers produced by Junhwa Hur. 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 Junhwa Hur. The network helps show where Junhwa Hur may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhwa Hur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss Hit paper breakdown → | 2018 | 317 |
| 2 | 2013 | 88 | |
| 3 | 2024 | 52 | |
| 4 | 2014 | 43 | |
| 5 | 2015 | 28 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 |
About Junhwa Hur
Junhwa Hur is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Strategy and Management and Control and Systems Engineering, having authored 13 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Advanced Image Processing Techniques (3 papers), Image Enhancement Techniques (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Video Surveillance and Tracking Methods (2 papers), Hand Gesture Recognition Systems (1 paper), Optical measurement and interference techniques (1 paper) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (473 citations), Automotive Engineering (127 citations), Computer Graphics and Computer-Aided Design (26 citations), Media Technology (58 citations) and Environmental Engineering (40 citations). Junhwa Hur has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Stefan Roth, Seung‐Woo Seo, Charles Herrmann, Hwasup Lim, Chang‐Soo Park, Sang Chul Ahn, Deqing Sun, Michael Rubinstein, Oliver Wang and Shiran Zada. Their work appears in journals such as International Journal of Computer Vision and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.