Aditya Kusupati
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- Speech and Audio Processing 2
- Music and Audio Processing 1
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- Image and Signal Denoising Methods 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- Wireless Signal Modulation Classification 1
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- Underwater Acoustics Research 2
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- Indoor and Outdoor Localization Technologies 1
- Co-authors
- Leah FindlaterHung Q. NgoRuofei DuJon E. FroehlichSteven M. GoodmanDhruv JainAli FarhadiJack Hessel
- Journals
- ACM Transactions on Sensor Networks (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)CHI Conference on Human Factors in Computing Systems (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Aditya Kusupati
9 papers receiving 42 citations
Peers
Comparison fields: 5 of 28
- Human-Computer Interaction 7
- Signal Processing 13
- Computer Vision and Pattern Recognition 19
- Developmental Biology 2
- Human Factors and Ergonomics 2
Countries citing papers authored by Aditya Kusupati
This map shows the geographic impact of Aditya Kusupati'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 Aditya Kusupati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Kusupati more than expected).
Fields of papers citing papers by Aditya Kusupati
This network shows the impact of papers produced by Aditya Kusupati. 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 Aditya Kusupati. The network helps show where Aditya Kusupati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aditya Kusupati, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 6 | |
| 8 | In the Wild: From ML Models to Pragmatic ML Systems | 2021 | 2 |
| 9 | 2021 | 4 | |
| 10 | Soft Threshold Weight Reparameterization for Learnable Sparsity | 2020 | 3 |
| 11 | 2019 | 3 | |
| 12 | 2019 | 2 |
About Aditya Kusupati
Aditya Kusupati is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Oceanography, having authored 12 papers that have together received 44 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Image and Signal Denoising Methods (2 papers), Speech and Audio Processing (2 papers), Underwater Acoustics Research (2 papers), Advanced Neural Network Applications (2 papers), Wireless Signal Modulation Classification (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Human-Computer Interaction (7 citations), Signal Processing (13 citations) and Computer Vision and Pattern Recognition (19 citations). Aditya Kusupati has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Leah Findlater, Hung Q. Ngo, Ruofei Du, Jon E. Froehlich, Steven M. Goodman, Dhruv Jain, Ali Farhadi, Jack Hessel, Anish Arora and Jing Lü. Their work appears in journals such as ACM Transactions on Sensor Networks, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and CHI Conference on Human Factors in Computing Systems.
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.