forrestiandola.com

Forrest Iandola

University of California, Berkeley. BS in Computer Science. University of Illinois at Urbana-Champaign. Illinois Math and Science Academy. I am the co-founder of DeepScale. Where we develop perception systems for autonomous vehicles. Bichen Wu, Forrest Iandola. Peter H. Jin, Kurt Keutzer. SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Embedded Vision Workshop, 2017. Forrest N. Iandola. ArXiv technical report, 2016.

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Forrest Iandola | forrestiandola.com Reviews

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University of California, Berkeley. BS in Computer Science. University of Illinois at Urbana-Champaign. Illinois Math and Science Academy. I am the co-founder of DeepScale. Where we develop perception systems for autonomous vehicles. Bichen Wu, Forrest Iandola. Peter H. Jin, Kurt Keutzer. SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Embedded Vision Workshop, 2017. Forrest N. Iandola. ArXiv technical report, 2016.

<META> KEYWORDS

1 forrest iandola

2 phd in eecs

3 email forrest@deepscale ai

4 publications

5 paper on arxiv

6 code on github

7 slides

8 and daniel wong

9 and kurt keutzer

10 poster

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forrest iandola,phd in eecs,email forrest@deepscale ai,publications,paper on arxiv,code on github,slides,and daniel wong,and kurt keutzer,poster,paper,and trevor darrell,project page,and timothy murray,and michael syphers,deepscale,visiblend,berkeley ca

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Forrest Iandola | forrestiandola.com Reviews

https://forrestiandola.com

University of California, Berkeley. BS in Computer Science. University of Illinois at Urbana-Champaign. Illinois Math and Science Academy. I am the co-founder of DeepScale. Where we develop perception systems for autonomous vehicles. Bichen Wu, Forrest Iandola. Peter H. Jin, Kurt Keutzer. SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Embedded Vision Workshop, 2017. Forrest N. Iandola. ArXiv technical report, 2016.

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forrestiandola.com

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Forrest Iandola - Deep Learning, Computer Vision, and Digital Advertising

http://www.forrestiandola.com/blog

Deep Learning, Computer Vision, and Digital Advertising. Reboot: Accelerating Deep Neural Nets by Reducing Image Resolution. A few months ago, I blogged. About how to reduce AlexNet image resolution without giving up much ImageNet accuracy. I’m not quite sure what I did wrong, but I’m not able to reproduce those results. I’m sorry for leading you down the wrong path, and thanks to the 10 people who wrote me with questions about this! Frame rate at test-time. 3368 fps (5.4x speedup). VGG F extralayer [4].

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medphys365.blogspot.com

365 Days of Medical Physics: Comparing dose distributions: DTA and dose-difference

http://medphys365.blogspot.com/2012/05/comparing-dose-distributions-dta-and.html

365 Days of Medical Physics. Nuggets of knowledge about medical physics. Comparing dose distributions: DTA and dose-difference. Radiation therapy plan quality assurance often hinges on comparing calculated dose distributions with measured dose distributions. One of the most common techniques to compare dose distributions is the combined use of distance-to-agreement (DTA) and dose difference. In this post I will give an overview of these concepts. A planar dose distribution from IMRT. Such that D( a.

3dpancakes.typepad.com

Ernie's 3D Pancakes: Complexity of Rubik's Cube

http://3dpancakes.typepad.com/ernie/2010/06/complexity-of-rubiks-cube.html

Let Σ be a combinatorial surface with n vertices, genus g, and b boundaries. Amen. Laquo; Apple bans modular programming. Geometry and topology at SODA 2011 ». June 28, 2010. Complexity of Rubik's Cube. Lance asked me to post an explanation of my response. About Rubik's cubes and airline seating (in reference to a recent. So here goes.). Yes, it's a big constant. But it's just a constant. The same goes for any larger cube that anyone has actually constructed, either physically. The same algorithms will p...

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University of California, Berkeley. BS in Computer Science. University of Illinois at Urbana-Champaign. Illinois Math and Science Academy. I am the co-founder of DeepScale. Where we develop perception systems for autonomous vehicles. Bichen Wu, Forrest Iandola. Peter H. Jin, Kurt Keutzer. SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Embedded Vision Workshop, 2017. Forrest N. Iandola. ArXiv technical report, 2016.

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