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ACL
2009
13 years 4 months ago
Reinforcement Learning for Mapping Instructions to Actions
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
ICCV
2011
IEEE
12 years 7 months ago
Feature Seeding for Action Recognition
Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the ri...
Pyry Matikainen, Rahul Sukthankar, Martial Hebert
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 4 months ago
Boosting multi-modal camera selection with semantic features
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
Benedikt Hörnler, Dejan Arsic, Björn Sch...
CVPR
2011
IEEE
13 years 3 months ago
Recognizing Human Actions by Attributes
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
Jingen Liu
CVPR
2012
IEEE
11 years 9 months ago
Actionable saliency detection: Independent motion detection without independent motion estimation
We present a model and an algorithm to detect salient regions in video taken from a moving camera. In particular, we are interested in capturing small objects that move independen...
Georgios Georgiadis, Alper Ayvaci, Stefano Soatto