In this paper, we present a modified algorithm which builds upon the previous work by redesigning key components to achieve real-time performance.
We present a novel phase-based method for propagating modifications of one video frame to an entire sequence.
By using non-parametric Bayesian methods, we learn coupled spatial and temporal patterns with minimum prior knowledge.
In this paper, we consider the problem of creating rich and varied conversational behaviors for data-driven animation of walking and jogging characters.
We present a new benchmark dataset and evaluation methodology for the area of video object segmentation
We propose a novel approach to video segmentation that operates in bilateral space.
We present CANVAS, a computer-assisted visual authoring tool for synthesizing multi-character animations from sparsely-specified narrative events.
We consider three foveated rendering methods and propose practical rules of thumb for each method to achieve significant performance gains in real-time rendering frameworks.
We propose a solution for presenting movie quality graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion.
We propose “Stereohaptics”, a framework to create, record, modify, and playback rich and dynamic haptic media using audio based tools.
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