CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Existing eye gaze tracking systems typically require an explicit personal calibration process in order to estimate certain person-specific eye parameters. For natural human compu...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Achieving computer vision on micro-scale devices is a challenge. On these platforms, the power and mass constraints are severe enough for even the most common computations (matrix...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Spatial Super Resolution (SR) aims to recover fine image details, smaller than a pixel size. Temporal SR aims to recover rapid dynamic events that occur faster than the video fra...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Statistics of ‘natural images’ provides useful priors for solving under-constrained problems in Computer Vision. Such statistics is usually obtained from large collections of ...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
We present a novel approach for automatically discovering spatio-temporal patterns in complex dynamic scenes. Similarly to recent non-object centric methods, we use low level visu...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...