We present a method whereby an embodied agent using visual perception can efficiently create a model of a local indoor environment from its experience of moving within it. Our me...
Grace Tsai, Changhai Xu, Jingen Liu, Benjamin Kuip...
The least recently used (LRU) replacement policy performs poorly in the last-level cache (LLC) because temporal locality of memory accesses is filtered by first and second level...
Samira Manabi Khan, Zhe Wang, Daniel A. Jimé...
This paper investigates “Schelling points” on 3D meshes, feature points selected by people in a pure coordination game due to their salience. To collect data for this investig...
Xiaobai Chen, Abulhair Saparov, Bill Pang, Thomas ...
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...