In this paper, we present supervision-by-registration, an unsupervised approach to improve
the precision of facial landmark detectors on both images and video. Our key observation is …

As we move toward exascale platforms, silent data corruptions (SDC) are likely to occur
more frequently. Such errors can lead to incorrect results. Attempts have been made to use …

Undetected soft errors caused by transient bit flips can lead to silent data corruption (SDC),
an undesirable outcome where invalid results pass for valid ones. This has motivated the …

Intelligent semiconductors adopted in safety-critical systems such as autonomous vehicles
and medical devices require high reliability. It is necessary to analyze soft-errors that may …

We present FPDetect, a low-overhead approach for detecting logical errors and soft errors
affecting stencil computations without generating false positives. We develop an offline …

High performance computing (HPC) applications are at the forefront of today's technical
innovations addressing grand scientific challenges across a wide spectrum of applications …

Our project investigated methods to detect soft errors in computing systems. Such detection
schemes must have low overheads and also generate no false positives. Our solutions …

Undetected soft errors caused by transient bit flips can lead to silent data corruption (SDC),
an undesirable outcome where invalid results pass for valid ones. This has motivated the …