Sanath Narayan
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Human Pose and Action Recognition 7
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 2
- Advanced Neural Network Applications 2
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- Anomaly Detection Techniques and Applications 6
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Fahad Shahbaz Khan (10 shared papers)Ling Shao (5 shared papers)Salman Khan (5 shared papers)Hisham Cholakkal (6 shared papers)Rao Muhammad Anwer (5 shared papers)Akshita Gupta (2 shared papers)Mubarak Shah (1 shared paper)K J Joseph (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United Arab EmiratesUnited StatesAustralia
In The Last Decade
Sanath Narayan
15 papers receiving 633 citations
Sanath Narayan's Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 511
- Artificial Intelligence 386
- Media Technology 64
- Human-Computer Interaction 31
- Biomedical Engineering 83
Countries citing papers authored by Sanath Narayan
This map shows the geographic impact of Sanath Narayan'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 Sanath Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanath Narayan more than expected).
Fields of papers citing papers by Sanath Narayan
This network shows the impact of papers produced by Sanath Narayan. 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 Sanath Narayan. The network helps show where Sanath Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanath Narayan, 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 | 2019 | 121 | |
| 2 | 2022 | 119 | |
| 3 | 2022 | 105 | |
| 4 | 2019 | 103 | |
| 5 | Remote Sensing Change Detection With Transformers Trained From Scratch Hit paper breakdown → | 2024 | 59 |
| 6 | 2021 | 57 | |
| 7 | 2014 | 35 | |
| 8 | 2014 | 27 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2024 | 1 | |
| 13 | Motion segmentation using curve fitting on Lagrangian particle trajectories | 2012 | 1 |
| 14 | 2024 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 |
About Sanath Narayan
Sanath Narayan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Experimental and Cognitive Psychology, having authored 18 papers that have together received 651 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Anomaly Detection Techniques and Applications (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Vision and Imaging (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 (511 citations), Artificial Intelligence (386 citations), Media Technology (64 citations), Human-Computer Interaction (31 citations) and Biomedical Engineering (83 citations). Sanath Narayan has collaborated with scholars based in United Arab Emirates, United States and Australia. Frequent co-authors include Fahad Shahbaz Khan, Ling Shao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Akshita Gupta, Mubarak Shah, K J Joseph, Bernard Ghanem and Devraj Mandal. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.