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» Combining Textual and Visual Features for Image Retrieval
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ICCV
2009
IEEE
16 years 6 months ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...
ICCV
2011
IEEE
14 years 1 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
ICARCV
2006
IEEE
126views Robotics» more  ICARCV 2006»
15 years 8 months ago
Improvement to the Minimization of Hybrid Error Functions for Pose Alignment
— Many problems in computer vision such as pose recovery and structure estimation are formulated as a minimization process. These problems vary in the use of image measurements d...
A. H. Abdul Hafez, C. V. Jawahar
ICRA
2005
IEEE
249views Robotics» more  ICRA 2005»
15 years 7 months ago
Image-based Control of Mobile Robot with Central Catadioptric Cameras
— To close the loop between motion and vision, tracked visual features must remain in the camera field of view (visibility constraint). To overcome the visibility constraint, vi...
Hicham Hadj-Abdelkader, Youcef Mezouar, Nicolas An...
115
Voted
ICTAI
2006
IEEE
15 years 8 months ago
MI-Winnow: A New Multiple-Instance Learning Algorithm
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...
Sharath R. Cholleti, Sally A. Goldman, Rouhollah R...