Janis Postels
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Image Enhancement Techniques
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- Autonomous Vehicle Technology and Safety
Papers in
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- Generative Adversarial Networks and Image Synthesis 1
- Video Surveillance and Tracking Methods 1
- Advanced Neural Network Applications 1
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- 3D Shape Modeling and Analysis 2
- Advanced Numerical Analysis Techniques 1
- Co-authors
- Yuxuan Wang (1 shared paper)Luc Van Gool (3 shared papers)Federico Tombari (3 shared papers)Tao Sun (1 shared paper)Bernt Schiele (1 shared paper)Fisher Yu (1 shared paper)Mattia Segù (1 shared paper)Xiaoran Chen (1 shared paper)
- Journals
- Computer Graphics Forum (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Janis Postels
4 papers receiving 109 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 69
- Automotive Engineering 26
- Artificial Intelligence 37
- Computer Graphics and Computer-Aided Design 3
- Health Informatics 1
Countries citing papers authored by Janis Postels
This map shows the geographic impact of Janis Postels'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 Janis Postels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janis Postels more than expected).
Fields of papers citing papers by Janis Postels
This network shows the impact of papers produced by Janis Postels. 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 Janis Postels. The network helps show where Janis Postels may publish in the future.
Co-authors
The 12 scholars most cited alongside Janis Postels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 102 | |
| 2 | The OOD Blind Spot of Unsupervised Anomaly Detection. | 2021 | 5 |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 |
About Janis Postels
Janis Postels is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 4 papers that have together received 109 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Anomaly Detection Techniques and Applications (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Video Surveillance and Tracking Methods (1 paper), Advanced Numerical Analysis Techniques (1 paper), Advanced Neural Network Applications (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (69 citations), Automotive Engineering (26 citations), Artificial Intelligence (37 citations), Computer Graphics and Computer-Aided Design (3 citations) and Health Informatics (1 citation). Janis Postels has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Yuxuan Wang, Luc Van Gool, Federico Tombari, Tao Sun, Bernt Schiele, Fisher Yu, Mattia Segù, Xiaoran Chen, Ender Konukoğlu and Shadi Albarqouni. Their work appears in journals such as Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.