Object-oriented programs are notable for making use of both rder abstractions and mutable, aliased state. Either feature alone is challenging for formal verification, and the com...
Neelakantan R. Krishnaswami, Jonathan Aldrich, Lar...
We address an unsupervised object detection and segmentation problem that goes beyond the conventional assumptions of one-to-one object correspondences or model-test settings betwe...
Minsu Cho (Seoul National University), Young Min S...
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of...
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca...
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...