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
- Video Analysis and Summarization
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Multimodal Machine Learning Applications 6
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Video Analysis and Summarization 2
- Image Enhancement Techniques 1
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Ishan Misra (6 shared papers)Rohit Girdhar (5 shared papers)Armand Joulin (4 shared papers)Yann LeCun (1 shared paper)Aishwarya Kamath (1 shared paper)Nicolas Carion (1 shared paper)Gabriel Synnaeve (1 shared paper)Kalyan Vasudev Alwala (3 shared papers)
- Journals
- Lecture notes in computer science (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Mannat Singh
10 papers receiving 1.2k citations
Mannat Singh's Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 850
- Artificial Intelligence 573
- Health Informatics 14
- Signal Processing 100
- Computer Graphics and Computer-Aided Design 18
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 | 474 |
| 2 | ImageBind One Embedding Space to Bind Them All Hit paper breakdown → | 2023 | 449 |
| 3 | 2022 | 132 | |
| 4 | 2022 | 60 | |
| 5 | 2023 | 51 | |
| 6 | 2024 | 37 | |
| 7 | 2023 | 22 | |
| 8 | An efficient and decentralised user association scheme for multiple technology networks | 2013 | 7 |
| 9 | Early Convolutions Help Transformers See Better | 2021 | 3 |
| 10 | 2025 | 1 |
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 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Analysis and Summarization (2 papers), Wireless Communication Security Techniques (1 paper), Wireless Networks and Protocols (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (850 citations), Artificial Intelligence (573 citations), Health Informatics (14 citations), Signal Processing (100 citations) and Computer Graphics and Computer-Aided Design (18 citations). Mannat Singh has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Ishan Misra, Rohit Girdhar, Armand Joulin, Yann LeCun, Aishwarya Kamath, Nicolas Carion, Gabriel Synnaeve, Kalyan Vasudev Alwala, Alaaeldin El-Nouby and Zhuang Liu. Their work appears in journals such as Lecture notes in computer science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.