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» Learning Object Models from Appearance
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ICML
2007
IEEE
16 years 17 days ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
CVPR
1999
IEEE
16 years 1 months ago
Eigen-Texture Method: Appearance Compression Based on 3D Model
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. Extensive research on these two metho...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi
IJCV
2007
163views more  IJCV 2007»
14 years 11 months ago
Appearance Sampling of Real Objects for Variable Illumination
Abstract. The appearance of an object greatly changes under different lighting conditions. Even so, previous studies have demonstrated that the appearance of an object under varyin...
Imari Sato, Takahiro Okabe, Yoichi Sato
IVC
2010
143views more  IVC 2010»
14 years 10 months ago
Video-based face model fitting using Adaptive Active Appearance Model
Active Appearance Model (AAM) represents the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAM for facial images is cu...
Xiaoming Liu
CVPR
2009
IEEE
16 years 6 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...