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ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
ICPR
2000
IEEE
15 years 10 months ago
Recognition of Indoor Images Employing Qualitative Model Fitting and Supporting Relation between Objects
In this paper, we describe a new design of a recognition system for a single image of indoor scene including complex occlusions. In our system, rst, the system estimates 3D struc...
Keiji Yanai, Koichiro Deguchi
CLOR
2006
15 years 10 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
CVPR
2003
IEEE
16 years 8 months ago
Practical Super-Resolution from Dynamic Video Sequences
This paper introduces a practical approach for superresolution, the process of reconstructing a high-resolution image from the low-resolution input ones. The emphasis of our work ...
Zhongding Jiang, Tien-Tsin Wong, Hujun Bao
VIP
2003
15 years 7 months ago
3D Reconstruction of Single Picture
This paper presents a novel approach for creating curvilinear, texture mapped, 3D scene models from a single painting or photograph with no prior internal knowledge about the shap...
Zhao Ting, David Dagan Feng, Tan Zheng