Dilip Krishnan
Impact in
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Advanced Neural Network Applications
- Media Technology top 0.1%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
Papers in
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- Advanced Image Processing Techniques 11
- Advanced Vision and Imaging 8
- Generative Adversarial Networks and Image Synthesis 6
- Image and Signal Denoising Methods 6
- Image Enhancement Techniques 5
- Co-authors
- Rob Fergus (7 shared papers)Graham W. Taylor (1 shared paper)Matthew D. Zeiler (1 shared paper)Nathan Silberman (1 shared paper)Konstantinos Bousmalis (1 shared paper)Dumitru Erhan (1 shared paper)David Dohan (1 shared paper)David Eigen (1 shared paper)
- Journals
- ACM Transactions on Graphics (3 papers)Bioinformatics (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Transactions on Image Processing (1 paper)Advances in Computational Mathematics (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Dilip Krishnan
41 papers receiving 4.9k citations
Dilip Krishnan's Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 3.8k
- Media Technology 1.5k
- Computer Graphics and Computer-Aided Design 154
- Artificial Intelligence 1.1k
- Computational Mechanics 504
Countries citing papers authored by Dilip Krishnan
This map shows the geographic impact of Dilip Krishnan'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 Dilip Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilip Krishnan more than expected).
Fields of papers citing papers by Dilip Krishnan
This network shows the impact of papers produced by Dilip Krishnan. 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 Dilip Krishnan. The network helps show where Dilip Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dilip Krishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deconvolutional networks Hit paper breakdown → | 2010 | 1060 |
| 2 | Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Hit paper breakdown → | 2017 | 955 |
| 3 | Fast Image Deconvolution using Hyper-Laplacian Priors Hit paper breakdown → | 2009 | 806 |
| 4 | Blind deconvolution using a normalized sparsity measure Hit paper breakdown → | 2011 | 736 |
| 5 | Restoring an Image Taken through a Window Covered with Dirt or Rain Hit paper breakdown → | 2013 | 306 |
| 6 | 2017 | 225 | |
| 7 | 2015 | 152 | |
| 8 | 2015 | 96 | |
| 9 | 2009 | 88 | |
| 10 | 2013 | 85 | |
| 11 | 2023 | 56 | |
| 12 | What Makes for Good Views for Contrastive Learning | 2020 | 49 |
| 13 | 2019 | 48 | |
| 14 | 2018 | 37 | |
| 15 | 2009 | 36 | |
| 16 | 2022 | 33 | |
| 17 | 2007 | 31 | |
| 18 | 2011 | 29 | |
| 19 | 2022 | 29 | |
| 20 | Adversarial Robustness through Local Linearization | 2019 | 27 |
About Dilip Krishnan
Dilip Krishnan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 43 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (8 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Sparse and Compressive Sensing Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Image Enhancement Techniques (5 papers), Image Processing Techniques and Applications (5 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Media Technology (1.5k citations), Computer Graphics and Computer-Aided Design (154 citations), Artificial Intelligence (1.1k citations) and Computational Mechanics (504 citations). Dilip Krishnan has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Rob Fergus, Graham W. Taylor, Matthew D. Zeiler, Nathan Silberman, Konstantinos Bousmalis, Dumitru Erhan, David Dohan, David Eigen, William T. Freeman and Richard Szeliski. Their work appears in journals such as ACM Transactions on Graphics, Bioinformatics, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing and Advances in Computational Mathematics.
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.