In this paper, we propose a kernel principal component analysis model for multi-variate time series forecasting, where the training and prediction schemes are derived from multi-view formulation of Restricted Kernel Machines. The problem is simply an eigenvalue decomposition summation two matrices corresponding to views input output data. When linear used view, it shown that forecasting equatio...

We investigate the problem of obtaining a dense reconstruction in real-time, from a live video stream. In recent years, Multi-view stereo (MVS) has received considerable attention and a number of methods have been proposed. However, most methods operate under the assumption of a relatively sparse set of still images as input and unlimited computation time. Video based MVS has received less atte...

In this paper, we present a detector-pyramid architecture for real-time multi-view face detection. Using a coarse to fine strategy, the full view is partitioned into finer and finer views. Each face detector in the pyramid detects faces of its respective view range. Its training is performed by using a new meta booting learning algorithm. This results in the first real-time multi-view face dete...

Making sense of our ever-changing surroundings requires the extraction of temporal information from a continuous stream of stimulation. How do we achieve this when the relevant information can be separated by only tens of milliseconds? I address this question by focusing on the debate concerning the perceptual asynchrony of changes of visual features. This refers to the finding that when a movi...

The ability to interpolate between images taken at different time and viewpoints directly in image space opens up new possiblities. The goal of our work is to create plausible in-between images in real time without the need for an intermediate 3D reconstruction. This enables us to also interpolate between images recorded with uncalibrated and unsynchronized cameras. In our approach we use a nov...