Dong Huk Park
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- Advanced Image and Video Retrieval Techniques 4
- Multimodal Machine Learning Applications 4
- Image Retrieval and Classification Techniques 3
- Video Analysis and Summarization 3
- Generative Adversarial Networks and Image Synthesis 2
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- Computer Graphics and Visualization Techniques 2
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- Domain Adaptation and Few-Shot Learning 1
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- COVID-19 diagnosis using AI 1
- Co-authors
- Trevor DarrellAnna RohrbachXihui LiuSamaneh AzadiVasili RamanishkaKate SaenkoLisa Anne HendricksSubhashini Venugopalan
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignArtificial Intelligence
- Journals
- 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesHong KongGermany
In The Last Decade
Dong Huk Park
8 papers receiving 257 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 217
- Computer Graphics and Computer-Aided Design 20
- Artificial Intelligence 67
- Media Technology 11
- Signal Processing 13
Countries citing papers authored by Dong Huk Park
This map shows the geographic impact of Dong Huk Park'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 Dong Huk Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Huk Park more than expected).
Fields of papers citing papers by Dong Huk Park
This network shows the impact of papers produced by Dong Huk Park. 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 Dong Huk Park. The network helps show where Dong Huk Park may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Dong Huk Park, 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 | 2024 | 8 | |
| 2 | More Control for Free! Image Synthesis with Semantic Diffusion Guidancebreakdown → | 2023 | 106 |
| 3 | 2022 | 11 | |
| 4 | Benchmark for Compositional Text-to-Image Synthesis | 2021 | 25 |
| 5 | Novelty Detection with Rotated Contrastive Predictive Coding | 2021 | 1 |
| 6 | 2019 | 23 | |
| 7 | Viewpoint Invariant Change Captioning. | 2019 | 2 |
| 8 | 2016 | 91 |
About Dong Huk Park
Dong Huk Park is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 8 papers that have together received 267 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Image Retrieval and Classification Techniques (3 papers), Video Analysis and Summarization (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Computer Graphics and Visualization Techniques (2 papers), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Computer Graphics and Computer-Aided Design (20 citations), Artificial Intelligence (67 citations), Media Technology (11 citations) and Signal Processing (13 citations). Dong Huk Park has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Trevor Darrell, Anna Rohrbach, Xihui Liu, Samaneh Azadi, Vasili Ramanishka, Kate Saenko, Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach and Abir Das. Their work appears in journals such as 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Neural Information Processing Systems.
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.