Devin Guillory
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
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- Remote-Sensing Image Classification
Papers in
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- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
- Advanced Vision and Imaging 1
- Medical Image Segmentation Techniques 1
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- Natural Language Processing Techniques 1
- Co-authors
- Kevin Tang (1 shared paper)Brice Rebsamen (1 shared paper)Sebastian Thrun (1 shared paper)David Held (1 shared paper)Silvio Savarese (1 shared paper)Trevor Darrell (2 shared papers)Xiangyu Yue (1 shared paper)Colorado Reed (1 shared paper)
- Journals
- 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 StatesJapanArgentina
In The Last Decade
Devin Guillory
4 papers receiving 109 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 76
- Media Technology 14
- Geology 8
- Artificial Intelligence 43
- Environmental Engineering 11
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 15 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 | 2022 | 45 | |
| 2 | 2016 | 33 | |
| 3 | Using Multiple Segmentations to Discover Objects and their Extent in Image Collections | 2013 | 30 |
| 4 | 2022 | 5 |
About Devin Guillory
Devin Guillory is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Infectious Diseases, having authored 4 papers that have together received 113 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Natural Language Processing Techniques (1 paper), 3D Shape Modeling and Analysis (1 paper), Robotics and Sensor-Based Localization (1 paper), Multimodal Machine Learning Applications (1 paper), Advanced Vision and Imaging (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (76 citations), Media Technology (14 citations), Geology (8 citations), Artificial Intelligence (43 citations) and Environmental Engineering (11 citations). Devin Guillory has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Kevin Tang, Brice Rebsamen, Sebastian Thrun, David Held, Silvio Savarese, Trevor Darrell, Xiangyu Yue, Colorado Reed, Shanghang Zhang and Kurt Keutzer. Their work appears in journals such as 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.