We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
We propose a checkpoint store compression method for coarse-grain giga-scale checkpoint/restore. This mechanism can be useful for debugging, post-mortem analysis and error recover...
We revisit the problem of recovering 3D shape from the projection of planar curves on a surface. This problem is strongly motivated by perception studies. Applications include sin...
In this paper, we propose a novel method, FingerSense to enhance the expressiveness of physical buttons. In a FingerSense enabled input device, a pressing action is differentiated...
H.264 is currently the best way to compress media to achieve high quality at low bandwidth. Since its inception, technologies such as video-on-demand are increasingly realizable. ...