Mannat Singh
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
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 3
- Natural Language Processing Techniques 1
- Evolutionary Algorithms and Applications 1
- Co-authors
- Ishan Misra (5 shared papers)Armand Joulin (4 shared papers)Rohit Girdhar (4 shared papers)Aishwarya Kamath (1 shared paper)Nicolas Carion (1 shared paper)Gabriel Synnaeve (1 shared paper)Yann LeCun (1 shared paper)Kalyan Vasudev Alwala (3 shared papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Mannat Singh
8 papers receiving 904 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 647
- Artificial Intelligence 464
- Health Informatics 13
- Signal Processing 71
- Human-Computer Interaction 19
Countries citing papers authored by Mannat Singh
This map shows the geographic impact of Mannat 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 Mannat Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mannat Singh more than expected).
Fields of papers citing papers by Mannat Singh
This network shows the impact of papers produced by Mannat 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 Mannat Singh. The network helps show where Mannat Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Mannat 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 | MDETR - Modulated Detection for End-to-End Multi-Modal Understanding Hit paper breakdown → | 2021 | 379 |
| 2 | ImageBind One Embedding Space to Bind Them All Hit paper breakdown → | 2023 | 340 |
| 3 | 2022 | 111 | |
| 4 | 2022 | 44 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 14 | |
| 7 | An efficient and decentralised user association scheme for multiple technology networks | 2013 | 5 |
| 8 | Early Convolutions Help Transformers See Better | 2021 | 2 |
| 9 | 2025 | 0 |
About Mannat Singh
Mannat Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Cultural Studies, having authored 9 papers that have together received 938 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Cell Image Analysis Techniques (1 paper), Cooperative Communication and Network Coding (1 paper), Natural Language Processing Techniques (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (647 citations), Artificial Intelligence (464 citations), Health Informatics (13 citations), Signal Processing (71 citations) and Human-Computer Interaction (19 citations). Mannat Singh has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Ishan Misra, Armand Joulin, Rohit Girdhar, Aishwarya Kamath, Nicolas Carion, Gabriel Synnaeve, Yann LeCun, Kalyan Vasudev Alwala, Alaaeldin El-Nouby and Zhuang Liu. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing 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.