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» Computing Visual Attention from Scene Depth
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112
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CVPR
2011
IEEE
14 years 9 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
ACCV
2009
Springer
15 years 7 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...
100
Voted
ICMI
2007
Springer
183views Biometrics» more  ICMI 2007»
15 years 7 months ago
A survey of affect recognition methods: audio, visual and spontaneous expressions
Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience, and related discipli...
Zhihong Zeng, Maja Pantic, Glenn I. Roisman, Thoma...
CVPR
2004
IEEE
16 years 2 months ago
Fast Wide Baseline Matching for Visual Navigation
A new and fast way to find local image correspondences for wide baseline image matching is described. The targeted application is visual navigation, e.g. of a semi-automatic wheel...
Luc J. Van Gool, Tinne Tuytelaars, Toon Goedem&eac...
JMM2
2006
167views more  JMM2 2006»
15 years 22 days ago
Computer Vision Methods for Improved Mobile Robot State Estimation in Challenging Terrains
External perception based on vision plays a critical role in developing improved and robust localization algorithms, as well as gaining important information about the vehicle and ...
Annalisa Milella, Giulio Reina, Roland Siegwart