Utkarsh Ojha

495 total citations
9 papers, 271 citations indexed

About

Utkarsh Ojha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Utkarsh Ojha has authored 9 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Utkarsh Ojha's work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image and Signal Denoising Methods (1 paper). Utkarsh Ojha is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image and Signal Denoising Methods (1 paper). Utkarsh Ojha collaborates with scholars based in United States and India. Utkarsh Ojha's co-authors include Krishna Kumar Singh, Yong Jae Lee, Eli Shechtman, Yong Jae Lee, Alexei A. Efros, Richard Zhang, Jingwan Lu, Yijun Li, Yuheng Li and Dushyant Kumar Singh and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Utkarsh Ojha

8 papers receiving 264 citations

Peers

Utkarsh Ojha
Gwanghyun Kim South Korea
Gihyun Kwon South Korea
Chuanxia Zheng Singapore
Axel Sauer Germany
Krishna Kumar Singh United States
Ligong Han United States
Dong Huk Park United States
Hanshu Yan Singapore
Tim Dockhorn Germany
Gwanghyun Kim South Korea
Utkarsh Ojha
Citations per year, relative to Utkarsh Ojha Utkarsh Ojha (= 1×) peers Gwanghyun Kim

Countries citing papers authored by Utkarsh Ojha

Since Specialization
Citations

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

Fields of papers citing papers by Utkarsh Ojha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utkarsh Ojha

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

All Works

9 of 9 papers shown
1.
Nguyen, Thao D., Utkarsh Ojha, Yuheng Li, Haotian Liu, & Yong Jae Lee. (2024). Edit One for All: Interactive Batch Image Editing. 8271–8280. 2 indexed citations
2.
Cai, Mu, et al.. (2024). Yo'LLaVA: Your Personalized Language and Vision Assistant. 40913–40951.
3.
Ojha, Utkarsh, Krishna Kumar Singh, & Yong‐Jae Lee. (2021). Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. International Conference on Learning Representations. 1 indexed citations
4.
Ojha, Utkarsh, Yijun Li, Jingwan Lu, et al.. (2021). Few-shot Image Generation via Cross-domain Correspondence. 10738–10747. 139 indexed citations
5.
Ojha, Utkarsh, Krishna Kumar Singh, Cho‐Jui Hsieh, & Yong‐Jae Lee. (2020). Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. arXiv (Cornell University). 33. 18063–18075. 1 indexed citations
6.
Li, Yuheng, Krishna Kumar Singh, Utkarsh Ojha, & Yong Jae Lee. (2020). MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. 43 indexed citations
7.
Singh, Krishna Kumar, Utkarsh Ojha, & Yong Jae Lee. (2019). FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. 6483–6492. 69 indexed citations
8.
Ojha, Utkarsh, et al.. (2017). Image annotation using deep learning: A review. 1–5. 13 indexed citations
9.
Ojha, Utkarsh & Ankur Garg. (2016). Denoising High Resolution Multispectral Images Using Deep Learning Approach. 871–875. 3 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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