Rakshith Shetty
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Multimodal Machine Learning Applications 5
- Robotic Path Planning Algorithms 3
- Human Pose and Action Recognition 2
- Video Analysis and Summarization 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Bernt Schiele (6 shared papers)Mario Fritz (4 shared papers)Lisa Anne Hendricks (1 shared paper)Marcus Rohrbach (1 shared paper)Jorma Laaksonen (4 shared papers)Ali Borji (1 shared paper)Hamed R. Tavakoli (3 shared papers)Rahaf Aljundi (1 shared paper)
- Journals
- IEEE Multimedia (1 paper)Procedia Computer Science (1 paper)Aaltodoc (Aalto University) (1 paper)arXiv (Cornell University) (1 paper)Journal of International Crisis and Risk Communication Research (1 paper)
In The Last Decade
Rakshith Shetty
14 papers receiving 380 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 333
- Artificial Intelligence 205
- Media Technology 12
- Signal Processing 9
- Health Informatics 1
Countries citing papers authored by Rakshith Shetty
This map shows the geographic impact of Rakshith Shetty'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 Rakshith Shetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakshith Shetty more than expected).
Fields of papers citing papers by Rakshith Shetty
This network shows the impact of papers produced by Rakshith Shetty. 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 Rakshith Shetty. The network helps show where Rakshith Shetty may publish in the future.
Co-authors
The 16 scholars most cited alongside Rakshith Shetty, 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 | 2017 | 152 | |
| 2 | 2021 | 61 | |
| 3 | 2017 | 49 | |
| 4 | 2018 | 34 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2016 | 8 | |
| 11 | 2013 | 3 | |
| 12 | Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion | 2016 | 2 |
| 13 | Natural Language Description of Images and Videos | 2016 | 1 |
| 14 | 2013 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2012 | 0 |
About Rakshith Shetty
Rakshith Shetty is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 16 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (5 papers), Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Human Pose and Action Recognition (2 papers), Video Analysis and Summarization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (333 citations), Artificial Intelligence (205 citations), Media Technology (12 citations), Signal Processing (9 citations) and Health Informatics (1 citation). Rakshith Shetty has collaborated with scholars based in Germany, India and Finland. Frequent co-authors include Bernt Schiele, Mario Fritz, Lisa Anne Hendricks, Marcus Rohrbach, Jorma Laaksonen, Ali Borji, Hamed R. Tavakoli, Rahaf Aljundi, Shanshan Zhang and Siddhartha Roy. Their work appears in journals such as IEEE Multimedia, Procedia Computer Science, Aaltodoc (Aalto University), arXiv (Cornell University) and Journal of International Crisis and Risk Communication Research.
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.