Gaurav Parmar

1.2k total citations · 2 hit papers
24 papers, 740 citations indexed

About

Gaurav Parmar is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Gaurav Parmar has authored 24 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Gaurav Parmar's work include Piezoelectric Actuators and Control (9 papers), Force Microscopy Techniques and Applications (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Gaurav Parmar is often cited by papers focused on Piezoelectric Actuators and Control (9 papers), Force Microscopy Techniques and Applications (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Gaurav Parmar collaborates with scholars based in United States, India and Israel. Gaurav Parmar's co-authors include Shorya Awtar, Jun-Yan Zhu, Richard Zhang, Jingwan Lu, Yijun Li, Krishna Kumar Singh, Zhuowen Tu, Kira Barton, Weijian Xu and Kwonjoon Lee and has published in prestigious journals such as IEEE/ASME Transactions on Mechatronics, Multimedia Tools and Applications and Precision Engineering.

In The Last Decade

Gaurav Parmar

24 papers receiving 718 citations

Hit Papers

Zero-shot Image-to-Image Translation 2022 2026 2023 2024 2023 2022 50 100 150
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. Zero-shot Image-to-Image Translation
    2023 176 citations Gaurav Parmar, Yijun Li et al. profile →
  2. On Aliased Resizing and Surprising Subtleties in GAN Evaluation
    2022 141 citations Gaurav Parmar, Richard Zhang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Gaurav Parmar
H.J.W. Spoelder Netherlands
S. Yamazaki Japan
Jingbo Zhang China
Mårten Sjöström Sweden
Chao Lin China
Minseok Choi South Korea
Chao Deng China
Michael A. Gennert United States
Sanjeev J. Koppal United States
H.J.W. Spoelder Netherlands
Gaurav Parmar
Citations per year, relative to Gaurav Parmar Gaurav Parmar (= 1×) peers H.J.W. Spoelder

Countries citing papers authored by Gaurav Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Parmar

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

All Works

20 of 20 papers shown
1.
Parmar, Gaurav, Or Patashnik, Srinivasa G. Narasimhan, et al.. (2025). Object-level Visual Prompts for Compositional Image Generation. 1–12. 1 indexed citations
2.
Ge, Songwei, et al.. (2024). On the Content Bias in Fréchet Video Distance. 7277–7288. 3 indexed citations
3.
Parmar, Gaurav, et al.. (2024). CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. 2296–2302. 7 indexed citations
4.
Parmar, Gaurav, et al.. (2023). A Review on Data Balancing Techniques and Machine Learning Methods. 1004–1008. 1 indexed citations
5.
Parmar, Gaurav, et al.. (2023). Genetic algorithm and hamilton path based data hiding scheme including embedding cost optimization. Multimedia Tools and Applications. 82(13). 20233–20249. 3 indexed citations
6.
Parmar, Gaurav, Richard Zhang, & Jun-Yan Zhu. (2022). On Aliased Resizing and Surprising Subtleties in GAN Evaluation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11400–11410. 141 indexed citations breakdown →
7.
Parmar, Gaurav, Yijun Li, Jingwan Lu, et al.. (2022). Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11389–11399. 34 indexed citations
8.
Parmar, Gaurav, Dacheng Li, Kwonjoon Lee, & Zhuowen Tu. (2021). Dual Contradistinctive Generative Autoencoder. 823–832. 36 indexed citations
9.
Xu, Yifan, Weijian Xu, Gaurav Parmar, et al.. (2020). Guided Variational Autoencoder for Disentanglement Learning. 7917–7926. 59 indexed citations
10.
Xu, Weijian, Gaurav Parmar, & Zhuowen Tu. (2019). Geometry-Aware End-to-End Skeleton Detection.. British Machine Vision Conference. 256. 5 indexed citations
11.
Parmar, Gaurav, et al.. (2019). Affordable Smart Wheelchair. 1–6. 7 indexed citations
12.
Parmar, Gaurav, et al.. (2015). Experimental Investigation of RC Beam-Column Assemblies under Column Removal Scenario. 3(1). 15–20. 1 indexed citations
13.
Parmar, Gaurav. (2014). Dynamics and Control of Flexure-based Large Range Nanopositioning Systems.. Deep Blue (University of Michigan). 2 indexed citations
14.
Awtar, Shorya & Gaurav Parmar. (2013). Design of a Large Range XY Nanopositioning System. Journal of Mechanisms and Robotics. 5(2). 121 indexed citations
15.
Parmar, Gaurav, Kira Barton, & Shorya Awtar. (2013). Large dynamic range nanopositioning using iterative learning control. Precision Engineering. 38(1). 48–56. 43 indexed citations
16.
Parmar, Gaurav, et al.. (2012). Performance Tradeoffs Posed by Moving Magnet Actuators in Flexure-Based Nanopositioning. IEEE/ASME Transactions on Mechatronics. 19(1). 201–212. 60 indexed citations
17.
Parmar, Gaurav, et al.. (2011). A Moving Magnet Actuator for Large Range Nanopositioning. 41–48. 4 indexed citations
18.
Parmar, Gaurav, et al.. (2011). Design, fabrication, and testing of a moving magnet actuator for large range nanopositioning. 1 indexed citations
19.
Awtar, Shorya & Gaurav Parmar. (2010). Physical and Control System Design Challenges in Large Range Nanopositioning. IFAC Proceedings Volumes. 43(18). 152–159. 7 indexed citations
20.
Awtar, Shorya & Gaurav Parmar. (2010). Design of a Large Range XY Nanopositioning System. 387–399. 21 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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