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161
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CVPR
2012
IEEE
13 years 6 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
175
Voted
CVPR
2012
IEEE
13 years 6 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
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...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
212
Voted
TSE
2012
13 years 6 months ago
Automated Abstractions for Contract Validation
d Abstractions for Contract Validation Guido de Caso, Víctor Braberman, Diego Garbervetsky and Sebastián Uchitel —Pre/post condition-based specifications are common-place in a...
Guido de Caso, Víctor A. Braberman, Diego G...
138
Voted
ICFP
2005
ACM
16 years 3 months ago
Monadic augment and generalised short cut fusion
Monads are commonplace programming devices that are used to uniformly structure computations with effects such as state, exceptions, and I/O. This paper further develops the monad...
Neil Ghani, Patricia Johann, Tarmo Uustalu, Varmo ...
145
Voted
MOBISYS
2007
ACM
16 years 3 months ago
NodeMD: diagnosing node-level faults in remote wireless sensor systems
Software failures in wireless sensor systems are notoriously difficult to debug. Resource constraints in wireless deployments substantially restrict visibility into the root cause...
Veljko Krunic, Eric Trumpler, Richard Han