Austin Myers
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Kevin MurphyCordelia SchmidCarl VondrickChen SunYiannis AloimonosCornelia FermüllerChing L. TeoAnoop Korattikara
- Topics
- Multimodal Machine Learning Applications (4 papers)Human Pose and Action Recognition (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Partner nations
- United StatesJapan
In The Last Decade
Austin Myers
7 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 728
- Artificial Intelligence 446
- Biomedical Engineering 215
- Public Health, Environmental and Occupational Health 185
- Control and Systems Engineering 148
Countries citing papers authored by Austin Myers
This map shows the geographic impact of Austin Myers'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 Austin Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Myers more than expected).
Fields of papers citing papers by Austin Myers
This network shows the impact of papers produced by Austin Myers. 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 Austin Myers. The network helps show where Austin Myers may publish in the future.
Co-authorship network of co-authors of Austin Myers
This figure shows the co-authorship network connecting the top 25 collaborators of Austin Myers. A scholar is included among the top collaborators of Austin Myers 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 Austin Myers. Austin Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | VideoBERT: A Joint Model for Video and Language Representation Learningbreakdown → | 658 |
| 5 | Im2Calories: Towards an Automated Mobile Vision Food Diarybreakdown → | 320 |
| 6 | 176 | |
| 7 | 9 |
About Austin Myers
Austin Myers is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (728 citations), Artificial Intelligence (446 citations) and Human-Computer Interaction (41 citations). Austin Myers has collaborated with scholars based in United States and Japan. Frequent co-authors include Kevin Murphy, Cordelia Schmid, Carl Vondrick, Chen Sun, Yiannis Aloimonos, Cornelia Fermüller, Ching L. Teo, Anoop Korattikara, Sergio Guadarrama and Jonathan Huang. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.