20 results on '"Alan L. Yuille"'
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2. Deep Nets: What have They Ever Done for Vision?
3. Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion.
4. Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images.
5. A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization.
6. Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation.
7. Inference and Learning with Hierarchical Shape Models.
8. Image Parsing: Unifying Segmentation, Detection, and Recognition.
9. Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
10. The Bas-Relief Ambiguity.
11. Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability.
12. FORMS: A flexible object recognition and modelling system.
13. Occlusions and binocular stereo.
14. Feature extraction from faces using deformable templates.
15. A common framework for image segmentation.
16. Stereo and controlled movement.
17. Guest Editorial: Geometry, Lighting, Motion, and Learning.
18. Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I.
19. Introduction by Guest Editors.
20. A mathematical analysis of the motion coherence theory.
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