In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
We present a new property driven pruning algorithm in dynamic model checking to efficiently detect race conditions in multithreaded programs. The main idea is to use a lockset base...
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
In this work the authors present an analytical model that -- compared to previously published work -- more accurately captures the delay of IEEE 802.11 protocol under low, medium,...