Avi Singh
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
Papers in
-
- Domain Adaptation and Few-Shot Learning 5
- Reinforcement Learning in Robotics 3
- Topic Modeling 2
-
- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Abhishek Das (4 shared papers)Deshraj Jain (4 shared papers)Devi Parikh (4 shared papers)Khushi Gupta (4 shared papers)Dhruv Batra (4 shared papers)José M. F. Moura (4 shared papers)Satwik Kottur (4 shared papers)Priyanka Kaushik (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)ACS Omega (2 papers)Phase Transitions (1 paper)International Journal of Financial Studies (1 paper)International Journal on Recent and Innovation Trends in Computing and Communication (1 paper)
- Partner nations
- United StatesIndiaFinland
In The Last Decade
Avi Singh
14 papers receiving 535 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 453
- Artificial Intelligence 376
- Health Informatics 9
- Control and Systems Engineering 20
- Biomaterials 9
Countries citing papers authored by Avi Singh
This map shows the geographic impact of Avi Singh'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 Avi Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Singh more than expected).
Fields of papers citing papers by Avi Singh
This network shows the impact of papers produced by Avi Singh. 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 Avi Singh. The network helps show where Avi Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Avi Singh, 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 | 246 | |
| 2 | Visual Dialog | 2017 | 213 |
| 3 | 2023 | 28 | |
| 4 | 2018 | 27 | |
| 5 | Visual Dialog | 2019 | 12 |
| 6 | 2017 | 6 | |
| 7 | 2023 | 6 | |
| 8 | Few-Shot Goal Inference for Visuomotor Learning and Planning | 2018 | 5 |
| 9 | 2019 | 5 | |
| 10 | Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition | 2018 | 4 |
| 11 | 2019 | 4 | |
| 12 | Parrot: Data-Driven Behavioral Priors for Reinforcement Learning | 2021 | 3 |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Avi Singh
Avi Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomaterials, Control and Systems Engineering and Economics and Econometrics, having authored 17 papers that have together received 565 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Topic Modeling (2 papers), Calcium Carbonate Crystallization and Inhibition (2 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (453 citations), Artificial Intelligence (376 citations), Health Informatics (9 citations), Control and Systems Engineering (20 citations) and Biomaterials (9 citations). Avi Singh has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Abhishek Das, Deshraj Jain, Devi Parikh, Khushi Gupta, Dhruv Batra, José M. F. Moura, Satwik Kottur, Priyanka Kaushik, Sergey Levine and Stefan Lee. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Omega, Phase Transitions, International Journal of Financial Studies and International Journal on Recent and Innovation Trends in Computing and Communication.
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.