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ECCV
2010
Springer
14 years 1 months ago
The Quadratic-Chi Histogram Distance Family
We present a new histogram distance family, the Quadratic-Chi (QC). QC members are Quadratic-Form distances with a cross-bin χ2 -like normalization. The cross-bin χ2 -like normal...
ECCV
2010
Springer
14 years 1 months ago
Convex Relaxation for Multilabel Problems with Product Label Spaces
Convex relaxations for continuous multilabel problems have attracted a lot of interest recently [1–5]. Unfortunately, in previous methods, the runtime and memory requirements sca...
ECCV
2010
Springer
14 years 1 months ago
Localizing Objects while Learning Their Appearance
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
ECCV
2010
Springer
14 years 1 months ago
Visual Recognition With Humans in the Loop
We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expert...
ECCV
2010
Springer
14 years 1 months ago
3D Reconstruction of a Moving Point from a Series of 2D Projections
This paper presents a linear solution for reconstructing the 3D trajectory of a moving point from its correspondence in a collection of 2D perspective images, given the 3D spatial ...
ECCV
2010
Springer
14 years 1 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
ICMI
2003
Springer
106views Biometrics» more  ICMI 2003»
14 years 1 months ago
Perceptual user interfaces using vision-based eye tracking
We present a multi-camera vision-based eye tracking method to robustly locate and track user’s eyes as they interact with an application. We propose enhancements to various visi...
Ravikrishna Ruddarraju, Antonio Haro, Kris Nagel, ...

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boujrafahmed

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Alper AyvaciStudent, PhD
UCLA
Alper Ayvaci
ICCV
2003
IEEE
14 years 2 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...