119
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
2D Active Appearance Models (AAM) and 3D Morphable
Models (3DMM) are widely used techniques. AAM
provide a fast fitting process, but may represent unwanted
3D transformations un...
123
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper proposes a generic method for action recognition
in uncontrolled videos. The idea is to use images
collected from the Web to learn representations of actions
and use ...
103
click to vote
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper addresses the problem of automatic temporal
annotation of realistic human actions in video using mini-
mal manual supervision. To this end we consider two asso-
ciate...
132
click to vote
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
109
click to vote
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper presents a simple yet practical 3-D modeling
method for recovering surface shape and reflectance
from a set of images. We attach a point light source to a
hand-held c...
123
click to vote
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Many interactive image segmentation approaches use an objective function which includes appearance models as an unknown variable. Since the resulting optimization problem is NP-har...
149
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
In this paper, we present a novel algorithm for partial
intrinsic symmetry detection in 3D geometry. Unlike previous
work, our algorithm is based on a conceptually simple
and st...
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...
125
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Generally the bag-of-words based image representation
follows a bottom-up paradigm. The subsequent stages of the
process: feature detection, feature description, vocabulary
cons...
107
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...