Showing posts with the label scene understanding

[Awesome@CVPR2013] Scene-SIRFs, Sketch Tokens, Detecting 100,000 object classes, and more

I promised to blog about some more exciting papers at CVPR 2013, so here is a short list of a few p…

Must-see Workshops @ CVPR 2013

June is that wonderful month during which computer vision researchers, students, and entrepreneurs …

Using Panoramas for Better Scene Understanding

There's a lot more to automated object interpretation than merely predicting the correct catego…

Image Interpretation Objectives

An example of a typical complex outdoor natural scene that a general knowledge-based image interpre…

Learning and Inference in Vision: from Features to Scene Understanding

Tomorrow, Jonathan Huang and I are giving a Computer Vision tutorial at the First MLD (Machine Lea…

A model of thought: The Associative Indexing of the Memex

The Memex "Memory Extender" is an organizational device, a conceptual device, and a fram…

Context is the 'glue' that binds objects in coherent scenes.

This is not my own quote. It is on of my favorites from Moshe Bar. It comes from his paper "…

suns 2009 cool talks

This past Friday I went SUNS 2009 at MIT, and in my opinion the coolest talks were by Aude Oliva , …

SUNS 2009: Scene Understanding Symposium at MIT

This Friday (January 30, 2009) I will be attending SUNS 2009 , otherwise known as the Scene Underst…

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