'Torralba et al' diaporamas de présentation

Bag-of-features for category recognition

Bag-of-features for category recognition. Cordelia Schmid. Bag-of-features for image classification. Origin: texture recognition Texture is characterized by the repetition of basic elements or textons.

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Graph Cut based Inference with Co-occurrence Statistics

760 views • 52 slides

Associative Hierarchical CRFs for Object Class Image Segmentation

594 views • 36 slides

Active Random Fields

Active Random Fields. Adrian Barbu. The MAP Estimation Problem. Estimation problem: Given input data y, solve Example: Image denoising Given noisy image y , find denoised image x Issues Modeling : How to approximate ? Computing : How to find x fast?. Noisy image y.

438 views • 29 slides

Large Scale Visual Recognition Challenge 2011

Large Scale Visual Recognition Challenge 2011 . Alex Berg Stony Brook Jia Deng Stanford & Princeton Sanjeev Satheesh Stanford Hao Su Stanford Fei-Fei Li Stanford. Large Scale Recognition. Millions to billions of images H undreds of thousands of possible labels

406 views • 29 slides

Image Classification: Features, Algorithms or Data?

Image Classification: Features, Algorithms or Data?. Devi Parikh and Larry Zitnick. Computer Vision: Visual Recognition. Scene recognition Object recognition Object detection. WINDOWS. CAR. STREET. Computer Vision: Visual Recognition. Scene recognition Object recognition

472 views • 28 slides

Computer Vision (CSE P 576)

Computer Vision (CSE P 576). Instructor: Larry Zitnick ( larryz@microsoft.com ) TA: Dun-Yu Hsiao ( dyhsiao@u.washington.edu ) Webpage: http :// www.cs.washington.edu/education/courses/csep576/11sp/. Today. Computer vision overview Course overview Image filtering Image sampling

402 views • 20 slides

Computer Vision (CSE P 576)

Computer Vision (CSE P 576). Instructor: Larry Zitnick ( larryz@microsoft.com ) TA: Dun-Yu Hsiao ( dyhsiao@u.washington.edu ) Webpage: http :// www.cs.washington.edu/education/courses/csep576/11sp/. Today. Computer vision overview Course overview Image filtering Image sampling

378 views • 20 slides

Capturing Human Insight for Visual Learning

Capturing Human Insight for Visual Learning. Kristen Grauman Department of Computer Science University of Texas at Austin. Frontiers in Computer Vision Workshop, MIT August 22, 2011.

296 views • 17 slides