Rohit Girdhar
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Geology top 5%
- Aerospace Engineering
- Co-authors
- Ishan MisraArmand JoulinMannat SinghKalyan Vasudev AlwalaAlaaeldin El-NoubyZhuang LiuDeva RamananZaiwei Zhang
- Topics
- Multimodal Machine Learning Applications (9 papers)Human Pose and Action Recognition (7 papers)Advanced Neural Network Applications (7 papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)Neural Information Processing Systems
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Rohit Girdhar
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 794
- Artificial Intelligence 388
- Computational Mechanics 149
- Geology 120
- Aerospace Engineering 87
Countries citing papers authored by Rohit Girdhar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 14 | |
| 6 | 16 | |
| 7 | 67 | |
| 8 | 43 | |
| 9 | 81 | |
| 10 | ImageBind One Embedding Space to Bind Them Allbreakdown → | 340 |
| 11 | 111 | |
| 12 | 34 | |
| 13 | Self-Supervised Pretraining of 3D Features on any Point-Cloudbreakdown → | 151 |
| 14 | CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning | 11 |
| 15 | MetaPix: Few-Shot Video Retargeting | 2 |
| 16 | 159 | |
| 17 | Attentional Pooling for Action Recognition | 76 |
| 18 | 40 | |
| 19 | 1 |
About Rohit Girdhar
Rohit Girdhar is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (794 citations), Geology (120 citations) and Artificial Intelligence (388 citations). Rohit Girdhar has collaborated with scholars based in United States, Israel and United Kingdom. Frequent 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. 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.