Ultra-Rapid Scene Processing - Stanford Vision Lab

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Ultra-Rapid Scene Processing - Stanford Vision Lab

Ultra-Rapid Scene Processing - Stanford Vision Lab

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What Pathways are Involved?

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GrabCut -Interactive Foreground Extraction using Iterated Graph Cuts

Dalal & Triggs, 2005 - Stanford Vision Lab

The Parahippocampal Place Area: A Cortical Representation of the ...

Lecture 1: What is CV? - Stanford Vision Lab

JIA LI - Stanford Vision Lab - Stanford University

Lecture 12 - Stanford Vision Lab

Lecture 18: Human Motion Recognition - Stanford Vision Lab

Midterm Topics - Stanford Vision Lab

Simultaneous Image Classification and Annotation - Princeton ...

Arbelaez et al, 2011 - Stanford Vision Lab - Stanford University

Lecture 15 - Stanford Vision Lab

A scene-centered representation of gist - Stanford Vision Lab

What Does Classifying More Than 10,000 Image Categories Tell Us?

Lecture 1 - Stanford Vision Lab; Prof. Fei-Fei Li

Fast trials for one subject 109 122 • All trials with RTs of ≤ 122 ms • Correct on 22/24 (91.6%)

What Pathways are Involved?

Page 1 and 2: Ultra-Rapid Scene Processing: Tempo
Page 3 and 4: Ultra Rapid Scene Processing Behavi
Page 5: Ultra-Rapid Detection of Human Face
Page 20 and 21: A temporal saliency effect? Primate
Page 22 and 23: The Temporal Coding Option Two Key
Page 24 and 25: Rank Based coding with STDP
Page 26 and 27: STDP with a population of output ce
Page 28 and 29: Learning Objects
Page 30 and 31: Scene Processing Conclusions 2 Any
Page 32 and 33: Unsupervised learning Faces Motorcy
Page 34: 20% Transport versus Human Inversio