Luc Van Gool
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Media Technology top 0.01%
Papers in
-
- Advanced Vision and Imaging 357
- Advanced Image and Video Retrieval Techniques 258
- Video Surveillance and Tracking Methods 167
- Human Pose and Action Recognition 122
- Advanced Neural Network Applications 121
- Advanced Image Processing Techniques 108
-
- Robotics and Sensor-Based Localization 210
- Co-authors
- Tinne Tuytelaars (88 shared papers)Herbert Bay (7 shared papers)Andrew Zisserman (12 shared papers)Mark Everingham (5 shared papers)Christopher K. I. Williams (4 shared papers)John Winn (4 shared papers)Andreas Ess (19 shared papers)Radu Timofte (122 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (40 papers)International Journal of Computer Vision (37 papers)Lecture notes in computer science (181 papers)Computer Vision and Image Understanding (18 papers)IEEE Robotics and Automation Letters (8 papers)
- Partner nations
- SwitzerlandBelgiumGermany
In The Last Decade
Luc Van Gool
1.1k papers receiving 109.3k citations
Luc Van Gool's Hit Papers
Peers
Comparison fields: 5 of 224
- Computer Vision and Pattern Recognition 92.0k
- Media Technology 13.1k
- Geology 6.6k
- Aerospace Engineering 22.9k
- Computer Graphics and Computer-Aided Design 2.9k
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 1.1k 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 | 13716 |
| 2 | SURF: Speeded Up Robust Features Hit paper breakdown → | 2006 | 11111 |
| 3 | Speeded-Up Robust Features (SURF) Hit paper breakdown → | 2008 | 10515 |
| 4 | The Pascal Visual Object Classes Challenge: A Retrospective Hit paper breakdown → | 2014 | 4932 |
| 5 | SwinIR: Image Restoration Using Swin Transformer Hit paper breakdown → | 2021 | 2765 |
| 6 | Temporal Segment Networks: Towards Good Practices for Deep Action Recognition Hit paper breakdown → | 2016 | 2617 |
| 7 | A Comparison of Affine Region Detectors Hit paper breakdown → | 2005 | 2294 |
| 8 | The PASCAL visual object classes challenge 2006 (VOC2006) results Hit paper breakdown → | 2006 | 1816 |
| 9 | Efficient Non-Maximum Suppression Hit paper breakdown → | 2006 | 1502 |
| 10 | A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation Hit paper breakdown → | 2016 | 1323 |
| 11 | Food-101 – Mining Discriminative Components with Random Forests Hit paper breakdown → | 2014 | 1235 |
| 12 | You'll never walk alone: Modeling social behavior for multi-target tracking Hit paper breakdown → | 2009 | 1141 |
| 13 | Anchored Neighborhood Regression for Fast Example-Based Super-Resolution Hit paper breakdown → | 2013 | 1063 |
| 14 | RePaint: Inpainting using Denoising Diffusion Probabilistic Models Hit paper breakdown → | 2022 | 988 |
| 15 | An adaptive color-based particle filter Hit paper breakdown → | 2003 | 911 |
| 16 | Semantic Foggy Scene Understanding with Synthetic Data Hit paper breakdown → | 2018 | 853 |
| 17 | Procedural modeling of buildings Hit paper breakdown → | 2006 | 751 |
| 18 | An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector Hit paper breakdown → | 2008 | 695 |
| 19 | Visual Modeling with a Hand-Held Camera Hit paper breakdown → | 2004 | 674 |
| 20 | Temporal Segment Networks for Action Recognition in Videos Hit paper breakdown → | 2018 | 645 |
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 1.1k papers that have together received 114.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (357 papers), Advanced Image and Video Retrieval Techniques (258 papers), Robotics and Sensor-Based Localization (210 papers), Video Surveillance and Tracking Methods (167 papers), Human Pose and Action Recognition (122 papers), 3D Surveying and Cultural Heritage (122 papers), Advanced Neural Network Applications (121 papers) and Advanced Image Processing Techniques (108 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (92.0k citations), Media Technology (13.1k citations), Geology (6.6k citations), Aerospace Engineering (22.9k citations) and Computer Graphics and Computer-Aided Design (2.9k citations). Luc Van Gool has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Tinne Tuytelaars, Herbert Bay, Andrew Zisserman, Mark Everingham, Christopher K. I. Williams, John Winn, Andreas Ess, Radu Timofte, 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, Lecture notes in computer science, Computer Vision and Image Understanding and IEEE Robotics and Automation Letters.
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.