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2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 6931 - 6939
In recent years, Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in tracking. However, in the pursuit of... 
Training | Target tracking | Convolution | Computational modeling | Biological system modeling | Robustness | Computational complexity
Conference Proceeding
2015 IEEE International Conference on Computer Vision (ICCV), ISSN 1550-5499, 12/2015, Volume 2015, pp. 4310 - 4318
Robust and accurate visual tracking is one of the most challenging computer vision problems. Due to the inherent lack of training data, a robust approach for... 
Training | Visualization | Correlation | Target tracking | Discrete Fourier transforms | Standards | Optimization | Learning | Computer vision | Tracking | Tracking (position) | Mathematical models | Visual | Computer Science - Computer Vision and Pattern Recognition
Conference Proceeding
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 1867 - 1874
This paper addresses the problem of Face Alignment for a single image. We show how an ensemble of regression trees can be used to estimate the face's landmark... 
Training | Real-Time | Shape | Gradient Boosting | Training data | Face Alignment | Boosting | Vectors | Decision Trees | Face | Regression tree analysis | Trees | Computer vision | Alignment | Images | Regression | Landmarks | Pattern recognition | Estimates | Regularization
Conference Proceeding
Medical Image Analysis, ISSN 1361-8415, 01/2017, Volume 35, pp. 250 - 269
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 1430 - 1438
Tracking-by-detection methods have demonstrated competitive performance in recent years. In these approaches, the tracking model heavily relies on the quality... 
Training | Visualization | Target tracking | Computational modeling | Robustness | Standards | Videos
Conference Proceeding
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 2016, Volume 39, Issue 7, p. 1455
We consider the problem of localizing a novel image in a large 3D model, given that the gravitational vector is known. In principle, this is just an instance... 
Computer Vision and Robotics (Autonomous Systems) | position retrieval | Datorseende och robotik (autonoma system) | Localization | camera pose
Journal Article
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 2015
This paper describes a new method of finding thin, elongated structures in images and volumes. We use shortest paths to minimize very general functionals of... 
Computer Vision and Robotics (Autonomous Systems) | Medicinsk bildbehandling | Datorseende och robotik (autonoma system) | Medical Image Processing
Journal Article
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 2015, Volume 112, Issue 1, p. 115
What is the computational complexity of geometric model estimation in the presence of noise and outliers? We show that the number of outliers can be minimized... 
Computer Vision and Robotics (Autonomous Systems) | Medicinsk bildbehandling | Datorseende och robotik (autonoma system) | Medical Image Processing
Journal Article
ITE Transactions on Media Technology and Applications, ISSN 2186-7364, 2016, Volume 4, Issue 3, pp. 251 - 258
This paper provides an extensive study on the availability of image representations based on convolutional networks (ConvNets) for the task of visual instance... 
Multi-resolution search | Convolutional network | Visual instance retrieval | Learning representation | Computer Vision and Robotics (Autonomous Systems) | Data- och informationsvetenskap | Naturvetenskap | Datorseende och robotik (autonoma system) | Natural Sciences | Computer and Information Sciences
Journal Article
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