Boris Babenko

6.5k citations
14 papers · 3.7k indexed · 3 hit papers · h-index 13

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Handwritten Text Recognition Techniques
    • Human Pose and Action Recognition
    • Image Retrieval and Classification Techniques
    • Image Enhancement Techniques

Papers in

Boris Babenko

14 papers receiving 3.5k citations

Hit Papers

End-to-end scene text recognition 2011 · 695 citations
69520092026201420204008001.2k

Peers

Boris Babenko
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 3.4k
  • Media Technology 397
  • Safety, Risk, Reliability and Quality 229
  • Aerospace Engineering 495
  • Health Informatics 23
Replace Xin Zhao with:
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Qing Guo China
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Citations per field
00.5×7.5×
Xin Zhao · 1×
Citations per year

Countries citing papers authored by Boris Babenko

Since Specialization
Citations

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

Fields of papers citing papers by Boris Babenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Boris Babenko, 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 Boris Babenko Line = papers co-authored together Boris Babenko links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Robust Object Tracking with Online Multiple Instance Learning
Hit paper breakdown →
20101414
2
Visual tracking with online Multiple Instance Learning
Hit paper breakdown →
20091234
3
End-to-end scene text recognition
Hit paper breakdown →
2011695
4 200664
5
Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning ?
200859
6 202253
7 200931
8
Multiple Instance Learning with Manifold Bags
201129
9 202326
10 202425
11 200725
12 202320
13 200915
14
Training discriminative computer vision models with weak supervision
20121

About Boris Babenko

Boris Babenko is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Media Technology, Ophthalmology and Artificial Intelligence, having authored 14 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Face and Expression Recognition (4 papers), Image Retrieval and Classification Techniques (4 papers), Retinal Imaging and Analysis (3 papers), Video Surveillance and Tracking Methods (2 papers), Remote-Sensing Image Classification (2 papers), AI in cancer detection (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Media Technology (397 citations), Safety, Risk, Reliability and Quality (229 citations), Aerospace Engineering (495 citations) and Health Informatics (23 citations). Boris Babenko has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Serge Belongie, Shuicheng Yan, Ming–Hsuan Yang, Kai Wang, Zhuowen Tu, Steve Branson, Piotr Dollár, Naama Hammel, Dale R. Webster and Nakul Verma. Their work appears in journals such as Nature Biomedical Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, EBioMedicine, The Lancet Digital Health and eLife.

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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