Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Forrest Iandola

SqueezeNAS: Fast neural architecture search for faster semantic segmentation

Aug 08, 2019
Albert Shaw, Daniel Hunter, Forrest Iandola, Sammy Sidhu

* 11 pages, 10 figures, 3 tables, 3 pages of appendix; Added found networks to Appendix tables 

  Access Paper or Ask Questions

DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning

Nov 27, 2018
Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest Iandola

* V2 

  Access Paper or Ask Questions

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Nov 29, 2017
Bichen Wu, Alvin Wan, Forrest Iandola, Peter H. Jin, Kurt Keutzer

* The supplementary material of this paper, which discusses the energy efficiency of SqueezeDet, is attached after the main paper. The source code of this work is open-source released at 

  Access Paper or Ask Questions

Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures

Oct 07, 2017
Forrest Iandola, Kurt Keutzer

* Keynote at Embedded Systems Week (ESWEEK) 2017 

  Access Paper or Ask Questions

Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale

Dec 20, 2016
Forrest Iandola

* thesis, UC Berkeley (2016) 

  Access Paper or Ask Questions

How to scale distributed deep learning?

Nov 14, 2016
Peter H. Jin, Qiaochu Yuan, Forrest Iandola, Kurt Keutzer

* Extended version of paper accepted at ML Sys 2016 (at NIPS 2016) 

  Access Paper or Ask Questions

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Sep 13, 2016
Matthew Moskewicz, Forrest Iandola, Kurt Keutzer

  Access Paper or Ask Questions

From Captions to Visual Concepts and Back

Apr 14, 2015
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

* version corresponding to CVPR15 paper 

  Access Paper or Ask Questions

Deformable Part Models are Convolutional Neural Networks

Oct 01, 2014
Ross Girshick, Forrest Iandola, Trevor Darrell, Jitendra Malik

  Access Paper or Ask Questions

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

Apr 07, 2014
Forrest Iandola, Matt Moskewicz, Sergey Karayev, Ross Girshick, Trevor Darrell, Kurt Keutzer

  Access Paper or Ask Questions