CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
We investigate the problem of automatically labelling
faces of characters in TV or movie material with their
names, using only weak supervision from automaticallyaligned
subtitl...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
Modeling and recognizing landmarks at world-scale is a
useful yet challenging task. There exists no readily available
list of worldwide landmarks. Obtaining reliable visual
mode...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
We describe a novel device that can be used as a 2.5D
“scanner” for acquiring surface texture and shape. The device
consists of a slab of clear elastomer covered with a
refl...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
Due to the capacity of pan-tilt-zoom (PTZ) cameras to
simultaneously cover a panoramic area and maintain high
resolution imagery, researches in automated surveillance
systems wi...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
A novel particle filter, the Memory-based Particle Filter
(M-PF), is proposed that can visually track moving objects
that have complex dynamics. We aim to realize robustness
aga...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
We present a novel framework for recognizing repetitive
sequential events performed by human actors with strong
temporal dependencies and potential parallel overlap. Our
solutio...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
In many image and video collections, we have access
only to partially labeled data. For example, personal photo
collections often contain several faces per image and a caption
t...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
In this paper we introduce a novel method to detect and
localize abnormal behaviors in crowd videos using Social
Force model. For this purpose, a grid of particles is placed
ove...
CVPR
2009
IEEE
15 years 15 days ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...