Marco Pedersoli
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Aerospace Engineering top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Tinne TuytelaarsChristian DesrosiersHakan BilenJizong PengJordi GonzàlezÉric GrangerAndrea VedaldiAmir Ghodrati
- Topics
- Advanced Neural Network Applications (26 papers)Advanced Image and Video Retrieval Techniques (24 papers)Domain Adaptation and Few-Shot Learning (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Medical Imaging
In The Last Decade
Marco Pedersoli
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 814
- Artificial Intelligence 379
- Radiology, Nuclear Medicine and Imaging 117
- Aerospace Engineering 116
- Experimental and Cognitive Psychology 80
Countries citing papers authored by Marco Pedersoli
This map shows the geographic impact of Marco Pedersoli'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 Marco Pedersoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Pedersoli more than expected).
Fields of papers citing papers by Marco Pedersoli
This network shows the impact of papers produced by Marco Pedersoli. 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 Marco Pedersoli. The network helps show where Marco Pedersoli may publish in the future.
Co-authorship network of co-authors of Marco Pedersoli
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Pedersoli. A scholar is included among the top collaborators of Marco Pedersoli 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 Marco Pedersoli. Marco Pedersoli 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 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 70 | |
| 10 | 0 | |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 6 | |
| 14 | Mutual information deep regularization for semi-supervised segmentation | 8 |
| 15 | Metric learning: cross-entropy vs. pairwise losses | 3 |
| 16 | 23 | |
| 17 | 141 | |
| 18 | Convolutional STN for Weakly Supervised Object Localization and Beyond. | 4 |
| 19 | Weakly Supervised Object Detection with Posterior Regularization | 52 |
| 20 | On importance of interactions and context in human action recognition: Nataliya,,Shapovalova | 2 |
About Marco Pedersoli
Marco Pedersoli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Informatics, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (26 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Domain Adaptation and Few-Shot Learning (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (814 citations), Artificial Intelligence (379 citations) and Media Technology (79 citations). Marco Pedersoli has collaborated with scholars based in Canada, Belgium and Spain. Frequent co-authors include Tinne Tuytelaars, Christian Desrosiers, Hakan Bilen, Jizong Peng, Jordi Gonzàlez, Éric Granger, Andrea Vedaldi, Amir Ghodrati, Luc Van Gool and Xavier Roca. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.
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.