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ACCV
2006
Springer
16 years 29 days ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
CVPR
2010
IEEE
16 years 18 days ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
IPPS
2005
IEEE
16 years 17 days ago
A Robust Interference Model for Wireless Ad-Hoc Networks
Among the foremost goals of topology control in wireless ad-hoc networks is interference reduction. This paper presents a receiver-centric interference model featuring two main ad...
Pascal von Rickenbach, Stefan Schmid, Roger Watten...
MICRO
2010
IEEE
215views Hardware» more  MICRO 2010»
15 years 5 months ago
A Task-Centric Memory Model for Scalable Accelerator Architectures
This paper presents a task-centric memory model for 1000-core compute accelerators. Visual computing applications are emerging as an important class of workloads that can exploit ...
John H. Kelm, Daniel R. Johnson, Steven S. Lumetta...
ICCV
2011
IEEE
14 years 7 months ago
Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Steven Branson, Pietro Perona, Serge Belongie