Marc Proesmans

2.6k citations
61 papers · 1.2k · 1 hit paper · h-index 14

Impact in

    • Advanced Vision and Imaging
    • Advanced Neural Network Applications
    • Optical measurement and interference techniques
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
  • Geology top 5%
    • 3D Surveying and Cultural Heritage

Papers in

    • Advanced Vision and Imaging 15
    • Image Processing and 3D Reconstruction 8
    • Advanced Neural Network Applications 7
    • Optical measurement and interference techniques 7
    • Image and Object Detection Techniques 6
    • Advanced Image and Video Retrieval Techniques 6
    • 3D Surveying and Cultural Heritage 10

Marc Proesmans

57 papers receiving 1.2k citations

Marc Proesmans's Hit Papers

Multi-Task Learning for Dense Prediction Tasks: A Survey 2021 · 551 citations
5510+1+3Years since publication100200300400500

Peers

Marc Proesmans
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 774
  • Geology 120
  • Computer Graphics and Computer-Aided Design 71
  • Media Technology 107
  • Aerospace Engineering 221
Replace João Carreira with:
João Carreira United States
Zsolt Kira United States
Jihua Zhu China
Xuran Pan China
Dmitry Chetverikov Hungary
Or Litany United States
Hongshan Yu China
Yukang Chen China
Frank P. Ferrie Canada
Dirk Langer United States
Marc Proesmans relative to João Carreira United States João Carreira's profile →
Citations per field
00.5×1.5×2.5×
João Carreira · 1×
Citations per year

Countries citing papers authored by Marc Proesmans

Since Specialization
Citations

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

Fields of papers citing papers by Marc Proesmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Proesmans, 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 Marc Proesmans Line = papers co-authored together Marc Proesmans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-Task Learning for Dense Prediction Tasks: A Survey
Hit paper breakdown →
2021551
2 199969
3 200259
4 199647
5 202244
6 200241
7 199639
8 202037
9 202131
10 199730
11 199629
12 200225
13 199824
14 201923
15 200513
16 199510
17 200210
18 201310
19 200210
20 20249

About Marc Proesmans

Marc Proesmans is a scholar working on Computer Vision and Pattern Recognition, Geology, Artificial Intelligence, Media Technology and Computer Graphics and Computer-Aided Design, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), 3D Surveying and Cultural Heritage (10 papers), Image Processing and 3D Reconstruction (8 papers), Advanced Neural Network Applications (7 papers), Optical measurement and interference techniques (7 papers), Image and Object Detection Techniques (6 papers), Image Processing Techniques and Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (774 citations), Geology (120 citations), Computer Graphics and Computer-Aided Design (71 citations), Media Technology (107 citations) and Aerospace Engineering (221 citations). Marc Proesmans has collaborated with scholars based in Belgium, Switzerland and Italy. Frequent co-authors include Luc Van Gool, Stamatios Georgoulis, Simon Vandenhende, Dengxin Dai, Wouter Van Gansbeke, Theo Moons, Tinne Tuytelaars, A. Oosterlinck, Luc J. Van Gool and Yevhen Kuznietsov. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, Applied Physics A, Design Automation for Embedded Systems and IEE Proceedings - Vision Image and Signal Processing.

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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