Paul Viola

50.1k citations
60 papers · 32.7k · 9 hit papers · h-index 35

Impact in

    • Video Surveillance and Tracking Methods
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Face recognition and analysis
    • Advanced Neural Network Applications
    • Image Retrieval and Classification Techniques
    • Medical Image Segmentation Techniques
    • Advanced Vision and Imaging

Papers in

    • Advanced Image and Video Retrieval Techniques 19
    • Image Retrieval and Classification Techniques 17
    • Face and Expression Recognition 12
    • Handwritten Text Recognition Techniques 9
    • Medical Image Segmentation Techniques 8
    • Face recognition and analysis 5
    • Natural Language Processing Techniques 7
    • Machine Learning and Algorithms 5

Paul Viola

60 papers receiving 30.1k citations

Paul Viola's Hit Papers

Detecting Pedestrians Using Patterns of Motion and Appearance 2005 · 1.4k citations
1.4k0+10+20Years since publication2.5k5.0k7.5k10.0k

Peers

Paul Viola
Comparison fields: 5 of 205
  • Computer Vision and Pattern Recognition 24.8k
  • Human-Computer Interaction 2.7k
  • Signal Processing 3.4k
  • Media Technology 2.7k
  • Experimental and Cognitive Psychology 2.0k
Replace Michael Jones with:
Michael Jones United States
Rama Chellappa United States
Takeo Kanade United States
Bill Triggs France
Xiaoou Tang Hong Kong
Yangqing Jia United States
Antonio Torralba United States
Matti Pietikäinen Finland
Aditya Khosla United States
Dumitru Erhan United States
Paul Viola relative to Michael Jones United States Michael Jones's profile →
Citations per field
00.5×1.5×
Michael Jones · 1×
Citations per year

Countries citing papers authored by Paul Viola

Since Specialization
Citations

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

Fields of papers citing papers by Paul Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rapid object detection using a boosted cascade of simple features
Hit paper breakdown →
200511720
2
Robust Real-Time Face Detection
Hit paper breakdown →
20049457
3
Alignment by Maximization of Mutual Information
Hit paper breakdown →
19971769
4
Robust real-time object detection.
Hit paper breakdown →
20011650
5
Detecting Pedestrians Using Patterns of Motion and Appearance
Hit paper breakdown →
20051418
6
Multi-modal volume registration by maximization of mutual information
Hit paper breakdown →
19961363
7
Alignment by maximization of mutual information
Hit paper breakdown →
2002702
8
Robust real-time face detection
Hit paper breakdown →
2005575
9
Multiple Instance Boosting for Object Detection
Hit paper breakdown →
2005448
10
Fast Multi-view Face Detection
2003400
11
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
2001325
12
MIMIC: Finding Optima by Estimating Probability Densities
1996299
13 2002284
14 2002247
15 2003199
16 2003164
17 2002117
18
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
2000116
19 2008111
20
Interactive information extraction with constrained conditional random fields
200498

About Paul Viola

Paul Viola is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Aerospace Engineering, having authored 60 papers that have together received 32.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Image Retrieval and Classification Techniques (17 papers), Face and Expression Recognition (12 papers), Handwritten Text Recognition Techniques (9 papers), Medical Image Segmentation Techniques (8 papers), Natural Language Processing Techniques (7 papers), Machine Learning and Algorithms (5 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (24.8k citations), Human-Computer Interaction (2.7k citations), Signal Processing (3.4k citations), Media Technology (2.7k citations) and Experimental and Cognitive Psychology (2.0k citations). Paul Viola has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael Jones, William M. Wells, Ron Kikinis, Shin Nakajima, Hideki Atsumi, William M. Wells, Kinh Tieu, Cha Zhang, Jeremy S. De Bonet and John Platt. Their work appears in journals such as International Journal of Computer Vision, Medical Image Analysis, IEEE Transactions on Multimedia, ACM Transactions on Graphics and Artificial Intelligence.

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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