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Claim this profileWorks123 from public data
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- Exploiting the Circulant Structure of Tracking-by-Detection with Kernels2,365
Using the well-established theory of Circulant matrices, this work provides a link to Fourier analysis that opens up the possibility of extremely fast learning and detection with the Fast Fourier Transform, which can be done in the dual space of kernel machines as fast as with linear classifiers.
- The Visual Object Tracking VOT2014 Challenge Results588
The Visual Object Tracking challenge 2014, VOT2014, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance and introduces a new dataset with full annotation of targets by rotated bounding boxes and per-frame attribute.
- Semantic Segmentation with Second-Order Pooling533
This paper introduces multiplicative second-order analogues of average and max-pooling that together with appropriate non-linearities lead to state-of-the-art performance on free-form region recognition, without any type of feature coding.
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- Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow58
- A vision-based system for measuring the displacements of large structures: Simultaneous adaptive calibration and full motion estimation53
A kinematic model-based solution to estimate simultaneously the calibration parameters of the vision system and the full-motion of large civil engineering structures, namely of long deck suspension bridges, from a sequence of stereo images captured by digital cameras is described.
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- A Real-Time Driver Visual Attention Monitoring System44
A framework for analyzing video sequences of a driver and determining his level of attention is described, which relies on pupil detection to robustly track the driver's head pose and monitoring its level of fatigue.
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- Monocular Head Pose Estimation31
3D rigid head pose is estimated combining Active Appearance Models (AAM) with Pose from Orthography and Scaling with ITerations (POSIT) and a statistical anthropometric 3D model is used as reference.
- Iterative multistep explicit camera calibration31
The proposed methodology has the advantage that it can be used with monoplane calibration data with no restrictions for the pose geometry of the camera, and makes this approach independent of the accuracy of the horizontal scale factor.
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- Generative face alignment through 2.5D active appearance models29
A 2.5D AAM that combines a 3D metric Point Distribution Model (PDM) and a 2D appearance model whose control points are defined by a full perspective projection of the PDM, which can outperform both the 2D+3D combined models and the2D standard methods.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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