Vishwanath A. Sindagi

4.0k citations
15 papers · 2.0k indexed · 4 hit papers · h-index 11

Vishwanath A. Sindagi

15 papers receiving 1.9k citations

Hit Papers

Unsupervised Domain Adaptat...1302017202620202023200400600

Peers

Vishwanath A. Sindagi
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 1.6k
  • Media Technology 429
  • Computer Graphics and Computer-Aided Design 62
  • Safety, Risk, Reliability and Quality 159
  • Artificial Intelligence 434
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Citations per year

Countries citing papers authored by Vishwanath A. Sindagi

Since Specialization
Citations

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

Fields of papers citing papers by Vishwanath A. Sindagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vishwanath A. Sindagi. 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 Vishwanath A. Sindagi. The network helps show where Vishwanath A. Sindagi may publish in the future.

Co-authorship network

The 10 scholars most cited alongside Vishwanath A. Sindagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vishwanath A. Sindagi Line = papers co-authored together Vishwanath A. Sindagi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Unsupervised Domain Adaptation of Object Detectors: A Surveybreakdown →
2023130
2 202310
3 20221
4 20227
5 202118
6
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentationbreakdown →
2021179
7 2020146
8
Image De-Raining Using a Conditional Generative Adversarial Networkbreakdown →
2019714
9
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions.
20191
10 201970
11 2018123
12 2018107
13
A survey of recent advances in CNN-based single image crowd counting and density estimationbreakdown →
2017425
14 201629
15 201511

About Vishwanath A. Sindagi

Vishwanath A. Sindagi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image Enhancement Techniques (6 papers), Advanced Image Processing Techniques (5 papers), Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Image Fusion Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (429 citations) and Computer Graphics and Computer-Aided Design (62 citations). Vishwanath A. Sindagi has collaborated with scholars based in United States and India. Frequent co-authors include Vishal M. Patel, He Zhang, Rajeev Yasarla, Ilker Hacihaliloglu, Jeya Maria Jose Valanarasu, Lidan Wang, Poojan Oza, Vibashan VS, Sumit Srivastava and Mark A. Foster. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

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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