Janis Postels
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 5
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
- Advanced Image Processing Techniques 1
- Co-authors
- Federico Tombari (9 shared papers)Luc Van Gool (7 shared papers)Ren Yang (1 shared paper)Mattia Segù (2 shared papers)Fisher Yu (2 shared papers)Bernt Schiele (1 shared paper)Yuxuan Wang (1 shared paper)Tao Sun (1 shared paper)
- Journals
- Computer Graphics Forum (1 paper)Lecture notes in computer science (2 papers)Repository for Publications and Research Data (ETH Zurich) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Janis Postels
9 papers receiving 262 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 176
- Computer Graphics and Computer-Aided Design 23
- Automotive Engineering 32
- Artificial Intelligence 78
- Signal Processing 18
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 16 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 | 136 | |
| 2 | 2022 | 100 | |
| 3 | 2019 | 8 | |
| 4 | 2021 | 7 | |
| 5 | The OOD Blind Spot of Unsupervised Anomaly Detection. | 2021 | 5 |
| 6 | 2021 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2024 | 0 |
About Janis Postels
Janis Postels is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Geology, having authored 10 papers that have together received 266 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Anomaly Detection Techniques and Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Numerical Analysis Techniques (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Computer Graphics and Computer-Aided Design (23 citations), Automotive Engineering (32 citations), Artificial Intelligence (78 citations) and Signal Processing (18 citations). Janis Postels has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Federico Tombari, Luc Van Gool, Ren Yang, Mattia Segù, Fisher Yu, Bernt Schiele, Yuxuan Wang, Tao Sun, Francesco Ferroni and Nassir Navab. Their work appears in journals such as Computer Graphics Forum, Lecture notes in computer science, Repository for Publications and Research Data (ETH Zurich), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.