Sciweavers

92
Voted
CVPR
2007
IEEE
16 years 2 months ago
Spatio-temporal Shape and Flow Correlation for Action Recognition
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been autom...
Yan Ke, Rahul Sukthankar, Martial Hebert
101
Voted
CVPR
2007
IEEE
16 years 2 months ago
Learning GMRF Structures for Spatial Priors
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
Lie Gu, Eric P. Xing, Takeo Kanade
CVPR
2007
IEEE
16 years 2 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
106
Voted
CVPR
2007
IEEE
16 years 2 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
CVPR
2007
IEEE
16 years 2 months ago
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
In this paper we derive differential equations for evolving radial basis functions (RBFs) to solve segmentation problems. The differential equations result from applying variation...
Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal
CVPR
2007
IEEE
16 years 2 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
80
Voted
CVPR
2007
IEEE
16 years 2 months ago
A contextual dissimilarity measure for accurate and efficient image search
In this paper we present two contributions to improve accuracy and speed of an image search system based on bag-of-features: a contextual dissimilarity measure (CDM) and an effici...
Herve Jegou, Hedi Harzallah, Cordelia Schmid
CVPR
2007
IEEE
16 years 2 months ago
Active Visual Object Reconstruction using D-, E-, and T-Optimal Next Best Views
In visual 3-D reconstruction tasks with mobile cameras, one wishes to move the cameras so that they provide the views that lead to the best reconstruction result. When the camera ...
Stefan Wenhardt, Benjamin Deutsch, Elli Angelopoul...
93
Voted
CVPR
2007
IEEE
16 years 2 months ago
Statistics of Infrared Images
The proliferation of low-cost infrared cameras gives us a new angle for attacking many unsolved vision problems by leveraging a larger range of the electromagnetic spectrum. A fir...
Nigel J. W. Morris, Shai Avidan, Wojciech Matusik,...