2023 - Research.com Computer Science in Switzerland Leader Award
2022 - Research.com Computer Science in Switzerland Leader Award
His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Object detection and Segmentation. His research combines Machine learning and Artificial intelligence. His Computer vision study which covers Convolutional neural network that intersects with Deep learning, Artificial neural network and Pattern recognition.
His study in the fields of Discriminative model under the domain of Pattern recognition overlaps with other disciplines such as Regression. His studies in Object detection integrate themes in fields like Viola–Jones object detection framework, Detector, Object-class detection, Pascal and Pedestrian detection. His Segmentation research includes elements of Cluster analysis and Benchmark.
Luc Van Gool mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Image. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His Computer vision research focuses on Tracking, 3D reconstruction, Video tracking, Motion and Pose.
He has included themes like Pascal and Feature in his Pattern recognition study. His research in Segmentation is mostly concerned with Image segmentation.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Image. The study incorporates disciplines such as Machine learning and Code in addition to Artificial intelligence. His Computer vision research includes themes of Process and Leverage.
His research integrates issues of Optical flow, Semantics, Synthetic data and Adaptation in his study of Segmentation. His Pattern recognition research integrates issues from Contextual image classification, Feature and Benchmark. His Image study combines topics in areas such as Domain, Set, Key, Translation and Generative grammar.
Luc Van Gool focuses on Artificial intelligence, Computer vision, Segmentation, Artificial neural network and Pattern recognition. His biological study spans a wide range of topics, including Algorithm, Machine learning and Code. His research links Leverage with Computer vision.
His Segmentation research is multidisciplinary, relying on both Domain, Natural language processing, Object, Benchmark and Synthetic data. His Artificial neural network research is multidisciplinary, incorporating elements of Network architecture, Set, Multi-task learning, Feature extraction and Convolutional neural network. His Pattern recognition research integrates issues from Object detection, Real image and Categorization.
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SURF: speeded up robust features
Herbert Bay;Tinne Tuytelaars;Luc Van Gool.
european conference on computer vision (2006)
The Pascal Visual Object Classes (VOC) Challenge
Mark Everingham;Luc Gool;Christopher K. Williams;John Winn.
International Journal of Computer Vision (2010)
Speeded-Up Robust Features (SURF)
Herbert Bay;Andreas Ess;Tinne Tuytelaars;Luc Van Gool.
Computer Vision and Image Understanding (2008)
The Pascal Visual Object Classes Challenge: A Retrospective
Mark Everingham;S. M. Eslami;Luc Gool;Christopher K. Williams.
International Journal of Computer Vision (2015)
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang;Yuanjun Xiong;Zhe Wang;Yu Qiao.
european conference on computer vision (2016)
An adaptive color-based particle filter
Katja Nummiaro;Esther Koller-Meier;Luc J. Van Gool;Luc J. Van Gool.
Image and Vision Computing (2003)
Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters
Marc Pollefeys;Reinhard Koch;Luc Van Gool.
International Journal of Computer Vision (1999)
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution
Radu Timofte;Vincent De Smet;Luc J. Van Gool;Luc J. Van Gool.
asian conference on computer vision (2014)
Procedural modeling of buildings
Pascal Müller;Peter Wonka;Simon Haegler;Andreas Ulmer.
international conference on computer graphics and interactive techniques (2006)
Visual Modeling with a Hand-Held Camera
Marc Pollefeys;Luc Van Gool;Maarten Vergauwen;Frank Verbiest.
International Journal of Computer Vision (2004)
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