Forrest N. Iandola

According to our database1, Forrest N. Iandola authored at least 31 papers between 2011 and 2018.

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Bibliography

2018
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning.
CoRR, 2018

2017
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures.
CoRR, 2017

Shallow Networks for High-accuracy Road Object-detection.
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures.
Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, 2017

2016
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale.
PhD thesis, 2016

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving.
CoRR, 2016

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms.
CoRR, 2016

How to scale distributed deep learning?
CoRR, 2016

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size.
CoRR, 2016

Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale.
CoRR, 2016

Shallow Networks for High-Accuracy Road Object-Detection.
CoRR, 2016

Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication.
Proceedings of the 28th International Symposium on Computer Architecture and High Performance Computing, 2016

FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer.
CoRR, 2015

FireCaffe: near-linear acceleration of deep neural network training on compute clusters.
CoRR, 2015

Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

libHOG: Energy-Efficient Histogram of Oriented Gradient Computation.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Deformable part models are convolutional neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

From captions to visual concepts and back.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.
CoRR, 2014

Deformable Part Models are Convolutional Neural Networks.
CoRR, 2014

From Captions to Visual Concepts and Back.
CoRR, 2014

2013
Communication-minimizing 2D convolution in GPU registers.
Proceedings of the IEEE International Conference on Image Processing, 2013

Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Optimal load management system for Aircraft Electric Power distribution.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
On schedulability and time composability of data aggregation networks.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Linear Clutter Removal from Urban Panoramas.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Real-time capacity of networked data fusion.
Proceedings of the 14th International Conference on Information Fusion, 2011


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