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» Learning to Recognize Objects
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147
Voted
ML
2008
ACM
109views Machine Learning» more  ML 2008»
15 years 5 months ago
O'browser: objective caml on browsers
We present a way to run Objective Caml programs on a standard, unmodified web browser, with a compatible data representation and execution model, including concurrency. To achieve...
Benjamin Canou, Vincent Balat, Emmanuel Chailloux
CVPR
2010
IEEE
16 years 12 days ago
Multi-View Object Class Detection With a 3D Geometric Model
This paper presents a new approach for multi-view object class detection. Appearance and geometry are treated as separate learning tasks with different training data. Our approach...
Joerg Liebelt, Cordelia Schmid
CVPR
2011
IEEE
15 years 1 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller
154
Voted
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
17 years 4 days ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
CVPR
2010
IEEE
16 years 1 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele