In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Network structures formed by actin filaments are present in many kinds of fluorescence microscopy images. In order to quantify the conformations and dynamics of such actin fila...
Ting Xu, Hongsheng Li, Tian Shen, Nikola Ojkic, Di...
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Dynamically discovering likely program invariants from concrete test executions has emerged as a highly promising software engineering technique. Dynamic invariant inference has t...
Christoph Csallner, Nikolai Tillmann, Yannis Smara...
We propose dynamic scheduler designs to improve the scheduler scalability and reduce its complexity in the SMT processors. Our first design is an adaptation of the recently propos...