Mannat Singh

2.3k total citations · 2 hit papers
9 papers, 938 citations indexed

About

Mannat Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mannat Singh has authored 9 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Mannat Singh's work include Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Mannat Singh is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Mannat Singh collaborates with scholars based in United States, Israel and India. Mannat Singh's co-authors include Ishan Misra, Rohit Girdhar, Armand Joulin, Gabriel Synnaeve, Aishwarya Kamath, Nicolas Carion, Yann LeCun, Kalyan Vasudev Alwala, Alaaeldin El-Nouby and Zhuang Liu and has published in prestigious 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.

In The Last Decade

Mannat Singh

8 papers receiving 904 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding

2021 379 citations Aishwarya Kamath, Mannat Singh et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
ImageBind One Embedding Space to Bind Them All

2023 340 citations Rohit Girdhar, Alaaeldin El-Nouby et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mannat Singh United States	6	647	464	71	38	35	9	938
Anna Rohrbach United States	16	1.0k 1.6×	616 1.3×	67 0.9×	24 0.6×	27 0.8×	33	1.2k
Rohit Girdhar United States	13	794 1.2×	388 0.8×	79 1.1×	87 2.3×	64 1.8×	19	1.2k
Alaaeldin El-Nouby Sweden	4	438 0.7×	352 0.8×	75 1.1×	49 1.3×	36 1.0×	6	835
Forrest Iandola United States	9	1.2k 1.8×	542 1.2×	32 0.5×	73 1.9×	35 1.0×	19	1.4k
Yanbo Fan China	18	534 0.8×	341 0.7×	94 1.3×	25 0.7×	32 0.9×	44	857
Pietro Morerio Italy	17	552 0.9×	280 0.6×	66 0.9×	23 0.6×	29 0.8×	62	849
Jiebo Song China	3	343 0.5×	337 0.7×	38 0.5×	18 0.5×	20 0.6×	3	594
Yunlian Sun China	12	430 0.7×	199 0.4×	107 1.5×	19 0.5×	35 1.0×	26	624
Luoqi Liu China	20	1.3k 2.1×	348 0.8×	110 1.5×	27 0.7×	23 0.7×	38	1.5k
Dawei Li United States	11	489 0.8×	353 0.8×	154 2.2×	37 1.0×	22 0.6×	50	812

Countries citing papers authored by Mannat Singh

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mannat Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mannat Singh. A scholar is included among the top collaborators of Mannat Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mannat Singh. Mannat Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yin, Xi, et al.. (2025). Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution. 2755–2765.

2.

Singh, Mannat, Quentin Duval, Kalyan Vasudev Alwala, et al.. (2023). The effectiveness of MAE pre-pretraining for billion-scale pretraining. 5461–5471. 14 indexed citations

3.

Girdhar, Rohit, Alaaeldin El-Nouby, Mannat Singh, et al.. (2023). OmniMAE: Single Model Masked Pretraining on Images and Videos. 10406–10417. 43 indexed citations

4.

Girdhar, Rohit, Alaaeldin El-Nouby, Zhuang Liu, et al.. (2023). ImageBind One Embedding Space to Bind Them All. 15180–15190. 340 indexed citations breakdown →

5.

Girdhar, Rohit, Mannat Singh, Nikhila Ravi, et al.. (2022). Omnivore: A Single Model for Many Visual Modalities. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16081–16091. 111 indexed citations

6.

Singh, Mannat, Laura Gustafson, Aaron Adcock, et al.. (2022). Revisiting Weakly Supervised Pre-Training of Visual Perception Models. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 794–804. 44 indexed citations

7.

Xiao, Tete, et al.. (2021). Early Convolutions Help Transformers See Better. Neural Information Processing Systems. 34. 2 indexed citations

8.

Kamath, Aishwarya, Mannat Singh, Yann LeCun, et al.. (2021). MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1760–1770. 379 indexed citations breakdown →

9.

Singh, Mannat & Prasanna Chaporkar. (2013). An efficient and decentralised user association scheme for multiple technology networks. 460–467. 5 indexed citations

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.

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