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ICCV
2009
IEEE
17 years 6 days ago
Quantifying Contextual Information for Object Detection
Context is critical for minimising ambiguity in object de- tection. In this work, a novel context modelling framework is proposed without the need of any prior scene segmen- tat...
Wei-Shi Zheng, Shaogang Gong and Tao Xiang
ICCV
2009
IEEE
17 years 6 days ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
CVPR
2007
IEEE
16 years 9 months ago
Learning Motion Categories using both Semantic and Structural Information
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
ICIP
2007
IEEE
16 years 9 months ago
A Variational Approach to Exploit Prior Information in Object-Background Segregation: Application to Retinal Images
One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise d...
Luca Bertelli, Jiyun Byun, B. S. Manjunath
VIS
2009
IEEE
167views Visualization» more  VIS 2009»
16 years 8 months ago
Focus+Context Route Zooming and Information Overlay in 3D Urban Environments
In this paper we present a novel focus+context zooming technique, which allows users to zoom into a route and its associated landmarks in a 3D urban environment from a 45-degree bi...
Huamin Qu, Haomian Wang, Weiwei Cui, Yingcai Wu...