In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
In this paper, we analyze the influence of temporal asynchrony on the subjective quality of stereoscopic video. Based on our recently created 3D video database, different levels o...
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
Mining actor correlations from TV series enables semanticlevel video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graphbas...
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...