B. G. Vijay Kumar

869 total citations
9 papers, 214 citations indexed

About

B. G. Vijay Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, B. G. Vijay Kumar has authored 9 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in B. G. Vijay Kumar's work include Image and Signal Denoising Methods (3 papers), Advanced Image Processing Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). B. G. Vijay Kumar is often cited by papers focused on Image and Signal Denoising Methods (3 papers), Advanced Image Processing Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). B. G. Vijay Kumar collaborates with scholars based in India, United Kingdom and Netherlands. B. G. Vijay Kumar's co-authors include Gustavo Carneiro, Ian Reid, R. Aravind, Ioannis Patras, Irene Kotsia, Amit Kumar, Nihar Ranjan Sahoo, Bharat Bhushan, Manmohan Chandraker and Zhi-xing Zhang and has published in prestigious journals such as Image and Vision Computing, IET Image Processing and Journal of Applied Animal Research.

In The Last Decade

B. G. Vijay Kumar

9 papers receiving 204 citations

Peers

Countries citing papers authored by B. G. Vijay Kumar

Since Specialization

Citations

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

Fields of papers citing papers by B. G. Vijay Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. G. Vijay Kumar. 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 B. G. Vijay Kumar. The network helps show where B. G. Vijay Kumar may publish in the future.

Co-authorship network of co-authors of B. G. Vijay Kumar

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Taming Self-Training for Open-Vocabulary Object Detection 2024 ·Shiyu Zhao, Samuel Schulter, L. Zhao, Zhi-xing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris Metaxas	5
2	Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions 2016 ·Adelaide Research & Scholarship (AR&S) (University of Adelaide) ·B. G. Vijay Kumar, Gustavo Carneiro, Ian Reid	159
3	Association of humoral response to classical swine fever vaccination with single nucleotide polymorphisms of swine leukocyte antigens 2015 ·Journal of Applied Animal Research ·(unknown), Amit Kumar, Nihar Ranjan Sahoo, (unknown), B. G. Vijay Kumar, Bharat Bhushan, Deepak Sharma	8
4	Supervised dictionary learning for action localization 2013 ·B. G. Vijay Kumar, Ioannis Patras	1
5	Learning codebook weights for action detection 2012 ·B. G. Vijay Kumar, Ioannis Patras	4
6	Max-margin Non-negative Matrix Factorization 2012 ·Image and Vision Computing ·B. G. Vijay Kumar, Irene Kotsia, Ioannis Patras	10
7	Computationally efficient algorithm for face super-resolution using (2D) ² -PCA based prior 2010 ·IET Image Processing ·B. G. Vijay Kumar, R. Aravind	14
8	A 2D model for face superresolution 2008 ·Proceedings - International Conference on Pattern Recognition ·B. G. Vijay Kumar, R. Aravind	2
9	Face hallucination using OLPP and Kernel Ridge Regression 2008 ·B. G. Vijay Kumar, R. Aravind	11

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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