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» Learning Models for Object Recognition
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CVPR
2012
IEEE
13 years 6 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang
ICCV
2009
IEEE
16 years 8 months ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
114
Voted
AIRS
2010
Springer
15 years 1 months ago
Learning to Rank with Supplementary Data
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
Wenkui Ding, Tao Qin, Xu-Dong Zhang
130
Voted
ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
15 years 8 months ago
Mobile Robot Localization using an Incremental Eigenspace Model
— When using appearance-based recognition for self-localization of mobile robots, the images obtained during the exploration of the environment need to be efficiently stored in t...
Matej Artac, Matjaz Jogan, Ales Leonardis
BMCV
2000
Springer
15 years 8 months ago
Pose-Independent Object Representation by 2-D Views
We here describe a view-based system for the pose-independent representation of objects without making reference to 3-D models. Input to the system is a collection of pictures cov...
Jan Wieghardt, Christoph von der Malsburg