Devin Guillory
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 1
- Medical Image Segmentation Techniques 1
- Advanced Vision and Imaging 1
- Generative Adversarial Networks and Image Synthesis 1
- Advanced Image and Video Retrieval Techniques 1
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- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Trevor Darrell (4 shared papers)Huijuan Xu (2 shared papers)Wei Ke (1 shared paper)Baifeng Shi (1 shared paper)Fang Wan (1 shared paper)Kevin Tang (1 shared paper)Silvio Savarese (1 shared paper)Brice Rebsamen (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United StatesArgentinaChina
In The Last Decade
Devin Guillory
6 papers receiving 237 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 187
- Artificial Intelligence 121
- Media Technology 19
- Geology 8
- Environmental Engineering 12
Countries citing papers authored by Devin Guillory
This map shows the geographic impact of Devin Guillory'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 Devin Guillory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Guillory more than expected).
Fields of papers citing papers by Devin Guillory
This network shows the impact of papers produced by Devin Guillory. 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 Devin Guillory. The network helps show where Devin Guillory may publish in the future.
Co-authors
The 21 scholars most cited alongside Devin Guillory, 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 | 2020 | 96 | |
| 2 | 2022 | 53 | |
| 3 | Using Multiple Segmentations to Discover Objects and their Extent in Image Collections | 2013 | 35 |
| 4 | 2016 | 33 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 6 |
About Devin Guillory
Devin Guillory is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Biomedical Engineering, having authored 6 papers that have together received 242 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (2 papers), Multimodal Machine Learning Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Vision and Imaging (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (187 citations), Artificial Intelligence (121 citations), Media Technology (19 citations), Geology (8 citations) and Environmental Engineering (12 citations). Devin Guillory has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Trevor Darrell, Huijuan Xu, Wei Ke, Baifeng Shi, Fang Wan, Kevin Tang, Silvio Savarese, Brice Rebsamen, David Held and Sebastian Thrun. Their work appears in journals such as Lecture notes in computer science, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.