Rohit Girdhar

4.5k total citations · 2 hit papers
19 papers, 1.2k citations indexed

About

Rohit Girdhar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Rohit Girdhar has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Rohit Girdhar's work include Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). Rohit Girdhar is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). Rohit Girdhar collaborates with scholars based in United States, Israel and United Kingdom. Rohit Girdhar's co-authors include Ishan Misra, Armand Joulin, Mannat Singh, Kalyan Vasudev Alwala, Alaaeldin El-Nouby, Zhuang Liu, Deva Ramanan, Zaiwei Zhang, Lorenzo Torresani and Georgia Gkioxari 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

Rohit Girdhar

19 papers receiving 1.1k citations

Hit Papers

ImageBind One Embedding Space to Bind Them All 2021 2026 2022 2024 2023 2021 100 200 300
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.

  1. ImageBind One Embedding Space to Bind Them All
    2023 340 citations Rohit Girdhar, Alaaeldin El-Nouby et al. profile →
  2. Self-Supervised Pretraining of 3D Features on any Point-Cloud
    2021 151 citations Zaiwei Zhang, Rohit Girdhar et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohit Girdhar United States 13 794 388 149 120 87 19 1.2k
Yueqi Duan China 19 933 1.2× 232 0.6× 256 1.7× 163 1.4× 136 1.6× 50 1.3k
Songzhi Su China 14 548 0.7× 265 0.7× 57 0.4× 80 0.7× 142 1.6× 73 873
Hamid Rezatofighi Australia 15 764 1.0× 262 0.7× 275 1.8× 183 1.5× 200 2.3× 41 1.2k
Lu Sheng China 18 1.5k 1.8× 432 1.1× 324 2.2× 217 1.8× 224 2.6× 45 1.8k
Zhengxing Sun China 14 759 1.0× 141 0.4× 151 1.0× 76 0.6× 62 0.7× 120 1.0k
Josep R. Casas Spain 16 642 0.8× 139 0.4× 92 0.6× 103 0.9× 87 1.0× 94 963
Thomas H. Li China 15 957 1.2× 395 1.0× 121 0.8× 50 0.4× 58 0.7× 35 1.3k
Anurag Ranjan Germany 10 1.2k 1.5× 158 0.4× 254 1.7× 49 0.4× 148 1.7× 21 1.5k
Tianshui Chen China 18 1.4k 1.8× 891 2.3× 118 0.8× 65 0.5× 45 0.5× 59 1.8k
Carlos Hernández Mexico 14 936 1.2× 155 0.4× 95 0.6× 134 1.1× 143 1.6× 35 1.2k

Countries citing papers authored by Rohit Girdhar

Since Specialization
Citations

This map shows the geographic impact of Rohit Girdhar'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 Rohit Girdhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Girdhar more than expected).

Fields of papers citing papers by Rohit Girdhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohit Girdhar. 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 Rohit Girdhar. The network helps show where Rohit Girdhar may publish in the future.

Co-authorship network of co-authors of Rohit Girdhar

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Girdhar. A scholar is included among the top collaborators of Rohit Girdhar 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 Rohit Girdhar. Rohit Girdhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Xudong, et al.. (2024). VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation. 22755–22764. 3 indexed citations
2.
Chen, Changan, Ashutosh Kumar, Rohit Girdhar, David Harwath, & Kristen Grauman. (2024). SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos. 27242–27252. 4 indexed citations
3.
Menon, Sachit, Ishan Misra, & Rohit Girdhar. (2024). Generating Illustrated Instructions. 6274–6284. 1 indexed citations
4.
Wang, Xudong, et al.. (2024). InstanceDiffusion: Instance-Level Control for Image Generation. 6232–6242. 17 indexed citations
5.
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
6.
Girdhar, Rohit, et al.. (2023). HierVL: Learning Hierarchical Video-Language Embeddings. 23066–23078. 16 indexed citations
7.
Zhao, Yue, Ishan Misra, Philipp Krähenbühl, & Rohit Girdhar. (2023). Learning Video Representations from Large Language Models. 6586–6597. 67 indexed citations
8.
Girdhar, Rohit, Alaaeldin El-Nouby, Mannat Singh, et al.. (2023). OmniMAE: Single Model Masked Pretraining on Images and Videos. 10406–10417. 43 indexed citations
9.
Wang, Xudong, Rohit Girdhar, Stella X. Yu, & Ishan Misra. (2023). Cut and Learn for Unsupervised Object Detection and Instance Segmentation. 3124–3134. 81 indexed citations
10.
Girdhar, Rohit, Alaaeldin El-Nouby, Zhuang Liu, et al.. (2023). ImageBind One Embedding Space to Bind Them All. 15180–15190. 340 indexed citations breakdown →
11.
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
12.
Ren, Zhongzheng, Ishan Misra, Alexander G. Schwing, & Rohit Girdhar. (2021). 3D Spatial Recognition without Spatially Labeled 3D. 13199–13208. 34 indexed citations
13.
Zhang, Zaiwei, Rohit Girdhar, Armand Joulin, & Ishan Misra. (2021). Self-Supervised Pretraining of 3D Features on any Point-Cloud. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10232–10243. 151 indexed citations breakdown →
14.
Girdhar, Rohit & Deva Ramanan. (2020). CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning. International Conference on Learning Representations. 11 indexed citations
15.
Lee, Jessica, Deva Ramanan, & Rohit Girdhar. (2019). MetaPix: Few-Shot Video Retargeting. International Conference on Learning Representations. 2 indexed citations
16.
Girdhar, Rohit, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, & Du Tran. (2018). Detect-and-Track: Efficient Pose Estimation in Videos. 350–359. 159 indexed citations
17.
Girdhar, Rohit & Deva Ramanan. (2017). Attentional Pooling for Action Recognition. Neural Information Processing Systems. 30. 34–45. 76 indexed citations
18.
Girdhar, Rohit, et al.. (2017). Binge Watching: Scaling Affordance Learning from Sitcoms. 3366–3375. 40 indexed citations
19.
Girdhar, Rohit, David F. Fouhey, Kris Kitani, Abhinav Gupta, & Martial Hebert. (2016). Cutting through the clutter: Task-relevant features for image matching. 1–9. 1 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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