CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We describe an imaging architecture for compressive video sensing termed programmable pixel compressive camera (P2C2). P2C2 allows us to capture fast phenomena at frame rates high...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Over the last decades fiducial markers have provided widely adopted tools to add reliable model-based features into an otherwise general scene. Given their central role in many c...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Surface registration is a fundamental step in the reconstruction of three-dimensional objects. While there are several fast and reliable methods to align two surfaces, the tools a...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and ...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially cohere...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We present a modification of “Normalized Cuts” to incorporate priors which can be used for constrained image segmentation. Compared to previous generalizations of “Normaliz...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...