16 citations · 68 across the 11 of their papers we have counts for
35 papers
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Martin Engilberge, Weizhe Liu, Pascal Fua
Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradi…
Gravity as a Reference for Estimating a Person's Height from Video
Didier Bieler, Semih Günel, Pascal Fua +1
Estimating the metric height of a person from monocular imagery without additional assumptions is ill-posed. Existing solutions either require manual calibration of ground plane an…
Probabilistic Atlases to Enforce Topological Constraints
Udaranga Wickramasinghe, Graham Knott, Pascal Fua
Probabilistic atlases (PAs) have long been used in standard segmentation approaches and, more recently, in conjunction with Convolutional Neural Networks (CNNs). However, their use…
Motion Capture from Pan-Tilt Cameras with Unknown Orientation
Roman Bachmann, Jörg Spörri, Pascal Fua +1
In sports, such as alpine skiing, coaches would like to know the speed and various biomechanical variables of their athletes and competitors. Existing methods use either body-worn…
Beyond Cartesian Representations for Local Descriptors
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi +2
The dominant approach for learning local patch descriptors relies on small image regions whose scale must be properly estimated a priori by a keypoint detector. In other words, if…
Self-supervised Training of Proposal-based Segmentation via Background Prediction
Isinsu Katircioglu, Helge Rhodin, Victor Constantin +3
While supervised object detection methods achieve impressive accuracy, they generalize poorly to images whose appearance significantly differs from the data they have been trained…