Group action recognition is a challenging task in computer vision due to the large complexity induced by multiple motion patterns. This paper aims at analyzing group actions in vid...
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
While the IP unicast service has proven successful, extending end-to-end adaptation to multicast has been a difficult problem. Unlike the unicast case, multicast protocols must su...
This paper proposes lazy group sifting for dynamic variable reordering during state traversal. The proposed method relaxes the idea of pairwise grouping of present state variables...
This paper presents Worm-IT, a new intrusion-tolerant group communication system with a membership service and a view-synchronous atomic multicast primitive. The system is intrusi...
Miguel Correia, Nuno Ferreira Neves, Lau Cheuk Lun...