Luc Van Gool
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image Processing Techniques
- Media Technology top 0.01%
Papers in
-
- Advanced Vision and Imaging 286
- Advanced Image and Video Retrieval Techniques 212
- Video Surveillance and Tracking Methods 131
- Advanced Image Processing Techniques 97
- Advanced Neural Network Applications 92
- Human Pose and Action Recognition 91
-
- Robotics and Sensor-Based Localization 176
- Co-authors
- Andrew Zisserman (11 shared papers)Mark Everingham (5 shared papers)Christopher K. I. Williams (4 shared papers)Tinne Tuytelaars (74 shared papers)John Winn (4 shared papers)Andreas Ess (17 shared papers)Radu Timofte (101 shared papers)Herbert Bay (5 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (40 papers)International Journal of Computer Vision (37 papers)Computer Vision and Image Understanding (18 papers)IEEE Robotics and Automation Letters (8 papers)Machine Vision and Applications (6 papers)
- Partner nations
- SwitzerlandBelgiumGermany
In The Last Decade
Luc Van Gool
893 papers receiving 77.0k citations
Luc Van Gool's Hit Papers
Peers
Comparison fields: 5 of 221
- Computer Vision and Pattern Recognition 63.4k
- Media Technology 10.2k
- Geology 4.8k
- Computer Graphics and Computer-Aided Design 2.2k
- Aerospace Engineering 14.8k
Countries citing papers authored by Luc Van Gool
This map shows the geographic impact of Luc Van Gool'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 Luc Van Gool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Van Gool more than expected).
Fields of papers citing papers by Luc Van Gool
This network shows the impact of papers produced by Luc Van Gool. 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 Luc Van Gool. The network helps show where Luc Van Gool may publish in the future.
Co-authors
The 25 scholars most cited alongside Luc Van Gool, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 927 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Pascal Visual Object Classes (VOC) Challenge Hit paper breakdown → | 2009 | 12310 |
| 2 | Speeded-Up Robust Features (SURF) Hit paper breakdown → | 2008 | 9371 |
| 3 | The Pascal Visual Object Classes Challenge: A Retrospective Hit paper breakdown → | 2014 | 4473 |
| 4 | SwinIR: Image Restoration Using Swin Transformer Hit paper breakdown → | 2021 | 2586 |
| 5 | A Comparison of Affine Region Detectors Hit paper breakdown → | 2005 | 1951 |
| 6 | The PASCAL visual object classes challenge 2006 (VOC2006) results Hit paper breakdown → | 2006 | 1672 |
| 7 | Efficient Non-Maximum Suppression Hit paper breakdown → | 2006 | 1414 |
| 8 | A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation Hit paper breakdown → | 2016 | 1166 |
| 9 | You'll never walk alone: Modeling social behavior for multi-target tracking Hit paper breakdown → | 2009 | 996 |
| 10 | Anchored Neighborhood Regression for Fast Example-Based Super-Resolution Hit paper breakdown → | 2013 | 969 |
| 11 | RePaint: Inpainting using Denoising Diffusion Probabilistic Models Hit paper breakdown → | 2022 | 881 |
| 12 | An adaptive color-based particle filter Hit paper breakdown → | 2003 | 808 |
| 13 | Semantic Foggy Scene Understanding with Synthetic Data Hit paper breakdown → | 2018 | 781 |
| 14 | Procedural modeling of buildings Hit paper breakdown → | 2006 | 667 |
| 15 | Temporal Segment Networks for Action Recognition in Videos Hit paper breakdown → | 2018 | 599 |
| 16 | Visual Modeling with a Hand-Held Camera Hit paper breakdown → | 2004 | 573 |
| 17 | Multi-Task Learning for Dense Prediction Tasks: A Survey Hit paper breakdown → | 2021 | 551 |
| 18 | On benchmarking camera calibration and multi-view stereo for high resolution imagery Hit paper breakdown → | 2008 | 537 |
| 19 | Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks Hit paper breakdown → | 2016 | 517 |
| 20 | Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters Hit paper breakdown → | 1999 | 514 |
About Luc Van Gool
Luc Van Gool is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology and Media Technology, having authored 927 papers that have together received 80.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (286 papers), Advanced Image and Video Retrieval Techniques (212 papers), Robotics and Sensor-Based Localization (176 papers), Video Surveillance and Tracking Methods (131 papers), Advanced Image Processing Techniques (97 papers), 3D Surveying and Cultural Heritage (95 papers), Advanced Neural Network Applications (92 papers) and Human Pose and Action Recognition (91 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (63.4k citations), Media Technology (10.2k citations), Geology (4.8k citations), Computer Graphics and Computer-Aided Design (2.2k citations) and Aerospace Engineering (14.8k citations). Luc Van Gool has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Andrew Zisserman, Mark Everingham, Christopher K. I. Williams, Tinne Tuytelaars, John Winn, Andreas Ess, Radu Timofte, Herbert Bay, Dengxin Dai and Bastian Leibe. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Computer Vision and Image Understanding, IEEE Robotics and Automation Letters and Machine Vision and Applications.
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.