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» A neural model of feature attention in motion perception
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WAPCV
2004
Springer
14 years 3 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
AR
2008
143views more  AR 2008»
13 years 10 months ago
Toward Human-Like Real-Time Manipulation: From Perception to Motion Planning
Human-like behavior is crucial for intelligent service robots that are to perform versatile tasks in day to day life. In this paper, an integrated approach to human-like manipulat...
Sukhan Lee, Hadi Moradi, Daesik Jang, Han-Young Ja...
ICMCS
2007
IEEE
150views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Highlight Ranking for Racquet Sports Video in User Attention Subspaces Based on Relevance Feedback
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking f...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...
ACIVS
2005
Springer
14 years 3 months ago
Dynamic Pursuit with a Bio-inspired Neural Model
Abstract. In this paper we present a bio-inspired connectionist model for visual perception of motion and its pursuit. It is organized in three stages: a causal spatio-temporal fi...
Claudio Castellanos Sánchez, Bernard Girau
SI3D
2006
ACM
14 years 3 months ago
ShowMotion: camera motion based 3D design review
We describe a new interactive system for 3D design review, built to exploit the visual perception cue of motion parallax, in order to enhance shape perception and aesthetic evalua...
Nicholas Burtnyk, Azam Khan, George W. Fitzmaurice...