Stephan Liwicki

1.2k citations
18 papers · 361 indexed · h-index 9

Impact in

    • Hand Gesture Recognition Systems
    • Human Pose and Action Recognition
    • Face and Expression Recognition
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Advanced Vision and Imaging

Papers in

Stephan Liwicki

18 papers receiving 352 citations

Peers

Stephan Liwicki
Comparison fields: 5 of 57
  • Human-Computer Interaction 112
  • Computer Vision and Pattern Recognition 264
  • Developmental and Educational Psychology 74
  • Media Technology 33
  • Signal Processing 26
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Jordi Sànchez-Riera Taiwan
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Ram Kumar Karsh India
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Citations per field
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Citations per year

Countries citing papers authored by Stephan Liwicki

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Liwicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Stephan Liwicki, 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 Stephan Liwicki Line = papers co-authored together Stephan Liwicki links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20243
2 20241
3 20232
4 20211
5 202131
6 20202
7
Fast-SCNN: Fast Semantic Segmentation Network.
20199
8 201947
9
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time.
201814
10 20175
11 201518
12 20141
13 20142
14 201244
15 201265
16 20116
17 200920
18 200990

About Stephan Liwicki

Stephan Liwicki is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing, Aerospace Engineering and Developmental and Educational Psychology, having authored 18 papers that have together received 361 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (5 papers), Multimodal Machine Learning Applications (4 papers), Face and Expression Recognition (3 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (112 citations), Computer Vision and Pattern Recognition (264 citations), Developmental and Educational Psychology (74 citations), Media Technology (33 citations) and Signal Processing (26 citations). Stephan Liwicki has collaborated with scholars based in United Kingdom, Japan and Netherlands. Frequent co-authors include Mark Everingham, Maja Pantić, Stefanos Zafeiriou, Georgios Tzimiropoulos, Roberto Cipolla, Rudra P. K. Poudel, William A. P. Smith, Christopher Zach, Ignas Budvytis and Chao Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Robotics and Automation Letters and IEEE Transactions on Neural Networks and Learning 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.

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