Samarth Sinha
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Advanced Neural Network Applications
Papers in
-
- Multimodal Machine Learning Applications 4
- Advanced Vision and Imaging 3
- Human Pose and Action Recognition 2
- Advanced Neural Network Applications 2
-
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Homanga Bharadhwaj (2 shared papers)Animesh Garg (3 shared papers)David B. Lindell (1 shared paper)Haoyu Xiong (1 shared paper)Andrea Tagliasacchi (1 shared paper)Jason Zhang (1 shared paper)Igor Gilitschenski (1 shared paper)Bernt Schiele (1 shared paper)
- Journals
- 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)Computer Vision and Pattern Recognition (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Samarth Sinha
10 papers receiving 110 citations
Peers
Comparison fields: 5 of 33
- Computer Graphics and Computer-Aided Design 16
- Computer Vision and Pattern Recognition 74
- Geology 9
- Control and Systems Engineering 31
- Artificial Intelligence 37
Countries citing papers authored by Samarth Sinha
This map shows the geographic impact of Samarth Sinha'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 Samarth Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarth Sinha more than expected).
Fields of papers citing papers by Samarth Sinha
This network shows the impact of papers produced by Samarth Sinha. 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 Samarth Sinha. The network helps show where Samarth Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Samarth Sinha, 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 | 2021 | 27 | |
| 2 | 2023 | 26 | |
| 3 | 2023 | 17 | |
| 4 | 2021 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 9 | |
| 7 | Generalized Zero-Shot Learning via Aligned Variational Autoencoders | 2019 | 4 |
| 8 | ImCLR: Implicit Contrastive Learning for Image Classification | 2021 | 3 |
| 9 | 2022 | 3 | |
| 10 | Top-K Training of GANs: Improving Generators by Making Critics Less Critical | 2020 | 1 |
| 11 | Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning | 2019 | 1 |
About Samarth Sinha
Samarth Sinha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Radiology, Nuclear Medicine and Imaging and Social Psychology, having authored 11 papers that have together received 114 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers), Advanced Vision and Imaging (3 papers), Human Pose and Action Recognition (2 papers), Geophysical Methods and Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (16 citations), Computer Vision and Pattern Recognition (74 citations), Geology (9 citations), Control and Systems Engineering (31 citations) and Artificial Intelligence (37 citations). Samarth Sinha has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Homanga Bharadhwaj, Animesh Garg, David B. Lindell, Haoyu Xiong, Andrea Tagliasacchi, Jason Zhang, Igor Gilitschenski, Bernt Schiele, Peter Gehler and Francesco Locatello. Their work appears in journals such as 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Computer Vision and Pattern Recognition, Proceedings of the AAAI Conference on Artificial Intelligence and 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.