Brian Kulis
Impact in
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Advanced Clustering Algorithms Research
Papers in
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- Domain Adaptation and Few-Shot Learning 10
- Advanced Clustering Algorithms Research 10
- Machine Learning and Algorithms 10
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- Face and Expression Recognition 11
- Advanced Image and Video Retrieval Techniques 11
- Multimodal Machine Learning Applications 7
- Co-authors
- Inderjit S. Dhillon (14 shared papers)Kristen Grauman (5 shared papers)Yuqiang Guan (3 shared papers)Trevor Darrell (4 shared papers)Prateek Jain (4 shared papers)Jason V. Davis (3 shared papers)Suvrit Sra (3 shared papers)Kate Saenko (5 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Journal of Machine Learning Research (2 papers)International Journal of Computer Vision (1 paper)Proceedings of the National Academy of Sciences (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Brian Kulis
51 papers receiving 7.3k citations
Brian Kulis's Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 5.0k
- Artificial Intelligence 3.4k
- Signal Processing 682
- Statistical and Nonlinear Physics 717
- Media Technology 461
Countries citing papers authored by Brian Kulis
This map shows the geographic impact of Brian Kulis'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 Brian Kulis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Kulis more than expected).
Fields of papers citing papers by Brian Kulis
This network shows the impact of papers produced by Brian Kulis. 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 Brian Kulis. The network helps show where Brian Kulis may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Kulis, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Information-theoretic metric learning Hit paper breakdown → | 2007 | 1380 |
| 2 | Kernel k-means Hit paper breakdown → | 2004 | 741 |
| 3 | Weighted Graph Cuts without Eigenvectors A Multilevel Approach Hit paper breakdown → | 2007 | 645 |
| 4 | Kernelized locality-sensitive hashing for scalable image search Hit paper breakdown → | 2009 | 623 |
| 5 | Learning to Hash with Binary Reconstructive Embeddings Hit paper breakdown → | 2009 | 534 |
| 6 | Metric Learning: A Survey Hit paper breakdown → | 2013 | 445 |
| 7 | What you saw is not what you get: Domain adaptation using asymmetric kernel transforms Hit paper breakdown → | 2011 | 443 |
| 8 | Metric Learning: A Survey Hit paper breakdown → | 2013 | 291 |
| 9 | 2011 | 248 | |
| 10 | 2008 | 211 | |
| 11 | 2008 | 192 | |
| 12 | 2004 | 184 | |
| 13 | 2009 | 177 | |
| 14 | 2011 | 156 | |
| 15 | 2019 | 154 | |
| 16 | 2009 | 151 | |
| 17 | Online Metric Learning and Fast Similarity Search | 2008 | 126 |
| 18 | 2006 | 123 | |
| 19 | 2012 | 116 | |
| 20 | 2005 | 106 |
About Brian Kulis
Brian Kulis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 53 papers that have together received 7.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Advanced Image and Video Retrieval Techniques (11 papers), Domain Adaptation and Few-Shot Learning (10 papers), Advanced Clustering Algorithms Research (10 papers), Machine Learning and Algorithms (10 papers), Sparse and Compressive Sensing Techniques (8 papers), Multimodal Machine Learning Applications (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.0k citations), Artificial Intelligence (3.4k citations), Signal Processing (682 citations), Statistical and Nonlinear Physics (717 citations) and Media Technology (461 citations). Brian Kulis has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Inderjit S. Dhillon, Kristen Grauman, Yuqiang Guan, Trevor Darrell, Prateek Jain, Jason V. Davis, Suvrit Sra, Kate Saenko, Michael I. Jordan and Prateek Jain. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research, International Journal of Computer Vision, Proceedings of the National Academy of Sciences and IEEE Transactions on Parallel and Distributed 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.