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» Scene Modeling Using Co-Clustering
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CVPR
2011
IEEE
14 years 6 months ago
From 3D Scene Geometry to Human Workspace
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
ICASSP
2011
IEEE
14 years 1 months ago
A model-based auditory scene analysis approach and its application to speech source localization
Localization and classification of acoustic signals in a complex auditory scene is an every day task of the human auditory system. However, this problem presents a significant c...
Vaclav Bouse, Rainer Martin
CVPR
2009
IEEE
15 years 1 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
PREMI
2005
Springer
15 years 3 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
RT
2005
Springer
15 years 3 months ago
Fast Exact From-Region Visibility in Urban Scenes
We present a fast exact from-region visibility algorithm for 2.5D urban scenes. The algorithm uses a subdivision of line space for identifying visibility interactions in a 2D foot...
Jirí Bittner, Peter Wonka, Michael Wimmer