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» Combining Textual and Visual Features for Image Retrieval
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116
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ICCV
2009
IEEE
16 years 8 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...
159
Voted
ICCV
2011
IEEE
14 years 3 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
133
Voted
ICARCV
2006
IEEE
126views Robotics» more  ICARCV 2006»
15 years 9 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
146
Voted
ICRA
2005
IEEE
249views Robotics» more  ICRA 2005»
15 years 9 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...
136
Voted
ICTAI
2006
IEEE
15 years 9 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...