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Found 5 papers, 2 papers with code
Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments
To address the first challenge, we propose to harness the enormous amount of visual content available in the form of movies and TV shows, and develop a dataset that can represent hazardous environments encountered in the real world.
Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking
This paper focuses on the problem of decentralized pedestrian tracking using a sensor network.
Accelerated consensus in multi-agent networks via memory of local averages
There, the DeGroot update on the current states is followed by a linear combination with the previous states.
Interactive Natural Language-based Person Search
In this work, we consider the problem of searching people in an unconstrained environment, with natural language descriptions.
An Empirical Study of Person Re-Identification with Attributes
Person re-identification aims to identify a person from an image collection, given one image of that person as the query.
