Piotr Koniusz
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Media Technology top 1%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Co-authors
- Hongguang ZhangHongdong LiYuchao DaiHao ZhuChristian SimonRichard NockMehrtash HarandiLei Wang
- Topics
- Domain Adaptation and Few-Shot Learning (27 papers)Human Pose and Action Recognition (16 papers)Advanced Image and Video Retrieval Techniques (15 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Hazardous MaterialsInternational Journal of Computer Vision
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Piotr Koniusz
60 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.2k
- Media Technology 370
- Radiology, Nuclear Medicine and Imaging 192
- Biomedical Engineering 136
Countries citing papers authored by Piotr Koniusz
This map shows the geographic impact of Piotr Koniusz'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 Piotr Koniusz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Koniusz more than expected).
Fields of papers citing papers by Piotr Koniusz
This network shows the impact of papers produced by Piotr Koniusz. 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 Piotr Koniusz. The network helps show where Piotr Koniusz may publish in the future.
Co-authorship network of co-authors of Piotr Koniusz
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Koniusz. A scholar is included among the top collaborators of Piotr Koniusz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piotr Koniusz. Piotr Koniusz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 48 | |
| 13 | 39 | |
| 14 | Few-shot Action Recognition via Improved Attention with Self-supervision | 2 |
| 15 | Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition. | 4 |
| 16 | Deep Stacked Hierarchical Multi-Patch Network for Image Deblurringbreakdown → | 398 |
| 17 | 16 | |
| 18 | Face Destylization | 4 |
| 19 | 69 | |
| 20 | New Software and Platforms - Convolutional Kernel Networks | 1 |
About Piotr Koniusz
Piotr Koniusz is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (27 papers), Human Pose and Action Recognition (16 papers) and Advanced Image and Video Retrieval Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (370 citations) and Artificial Intelligence (1.2k citations). Piotr Koniusz has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Hongguang Zhang, Hongdong Li, Yuchao Dai, Hongguang Zhang, Hao Zhu, Christian Simon, Richard Nock, Mehrtash Harandi, Lei Wang and Krystian Mikolajczyk. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Hazardous Materials and International Journal of Computer Vision.
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.