Forrest Iandola
Forrest Iandola
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Cited by
Cited by
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 MB model size
FN Iandola, S Han, MW Moskewicz, K Ashraf, WJ Dally, K Keutzer
arXiv preprint arXiv:1602.07360, 2016
From captions to visual concepts and back
H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollįr, J Gao, X He, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Deformable part models are convolutional neural networks
R Girshick, F Iandola, T Darrell, J Malik
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2015
SqueezeDet: Unified, small, low power fully convolutional neural networks for real-time object detection for autonomous driving
B Wu, F Iandola, PH Jin, K Keutzer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
DenseNet: Implementing efficient convnet descriptor pyramids
F Iandola, M Moskewicz, S Karayev, R Girshick, T Darrell, K Keutzer
arXiv preprint arXiv:1404.1869, 2014
Deformable part descriptors for fine-grained recognition and attribute prediction
N Zhang, R Farrell, F Iandola, T Darrell
Proceedings of the IEEE International Conference on Computer Vision, 729-736, 2013
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
FN Iandola, MW Moskewicz, K Ashraf, K Keutzer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
How to scale distributed deep learning?
PH Jin, Q Yuan, F Iandola, K Keutzer
NIPS Workshops, 2016
DeepLogo: Hitting logo recognition with the deep neural network hammer
FN Iandola, A Shen, P Gao, K Keutzer
arXiv preprint arXiv:1510.02131, 2015
Shallow networks for high-accuracy road object-detection
K Ashraf, B Wu, FN Iandola, MW Moskewicz, K Keutzer
arXiv preprint arXiv:1606.01561, 2016
Optimal load management system for aircraft electric power distribution
M Maasoumy, P Nuzzo, F Iandola, M Kamgarpour, ...
52nd IEEE Conference on Decision and Control, 2939-2945, 2013
Communication-minimizing 2D convolution in GPU registers
FN Iandola, D Sheffield, MJ Anderson, PM Phothilimthana, K Keutzer
2013 IEEE International Conference on Image Processing, 2116-2120, 2013
Keynote: small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures
F Iandola, K Keutzer
2017 International Conference on Hardware/Software Codesign and System …, 2017
Discovery of semantic similarities between images and text
J Gao, X He, S Gupta, GG Zweig, F Iandola, L Deng, H Fang, MA Mitchell, ...
US Patent 9,836,671, 2017
Audio-based multimedia event detection with DNNs and sparse sampling
K Ashraf, B Elizalde, F Iandola, M Moskewicz, J Bernd, G Friedland, ...
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
Exploring the design space of deep convolutional neural networks at large scale
F Iandola
arXiv preprint arXiv:1612.06519, 2016
Multi-channel sensor simulation for autonomous control systems
FN Iandola, DB MacMillen, A Shen, HS Sidhu, DP Tomasello, RN Phadte, ...
US Patent App. 15/855,749, 2018
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
A Shaw, D Hunter, F Iandola, S Sidhu
Proceedings of the IEEE International Conference on Computer Vision …, 2019
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms
MW Moskewicz, FN Iandola, K Keutzer
2016 IEEE 12th International Conference on Wireless and Mobile Computing …, 2016
Data synthesis for autonomous control systems
FN Iandola, DB Macmillen, A Shen, HS Sidhu, PJ Jain
US Patent 10,678,244, 2020
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