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ORCIDForrest N. Iandola
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2020 – today
- 2020
[i15]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? CoRR abs/2006.11316 (2020)
2010 – 2019
- 2019
- [c19]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops 2019: 128-136 - [c18]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds With Deep Sensor Cloning. CVPR Workshops 2019: 1317-1325 - [i14]Albert E. Shaw, Daniel Hunter, Forrest N. Iandola, Sammy Sidhu:
SqueezeNAS: Fast neural architecture search for faster semantic segmentation. CoRR abs/1908.01748 (2019) - 2018
- [i13]Paden Tomasello, Sammy Sidhu, Anting Shen, Matthew W. Moskewicz, Nobie Redmon, Gayatri Joshi, Romi Phadte, Paras Jain, Forrest N. Iandola:
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning. CoRR abs/1811.07070 (2018) - 2017
- [c17]Forrest N. Iandola, Kurt Keutzer:
Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures. CODES+ISSS 2017: 1:1-1:10 - [c16]Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Workshops 2017: 446-454 - [c15]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-accuracy Road Object-detection. VEHITS 2017: 33-40 - [i12]Forrest N. Iandola, Kurt Keutzer:
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures. CoRR abs/1710.02759 (2017) - 2016
- [b1]Forrest N. Iandola:
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale. University of California, Berkeley, USA, 2016 - [c14]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer:
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. CVPR 2016: 2592-2600 - [c13]Steena Monteiro, Forrest N. Iandola, Daniel Wong
:
STOMP: Statistical Techniques for Optimizing and Modeling Performance of Blocked Sparse Matrix Vector Multiplication. SBAC-PAD 2016: 93-100 - [c12]Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer:
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms. WiMob 2016: 1-10 - [i11]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer:
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. CoRR abs/1602.07360 (2016) - [i10]Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer:
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms. CoRR abs/1606.00094 (2016) - [i9]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-Accuracy Road Object-Detection. CoRR abs/1606.01561 (2016) - [i8]Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer:
How to scale distributed deep learning? CoRR abs/1611.04581 (2016) - [i7]Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CoRR abs/1612.01051 (2016) - [i6]Forrest N. Iandola:
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale. CoRR abs/1612.06519 (2016) - 2015
- [c11]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable part models are convolutional neural networks. CVPR 2015: 437-446 - [c10]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From captions to visual concepts and back. CVPR 2015: 1473-1482 - [c9]Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation. ITSC 2015: 1248-1254 - [c8]Khalid Ashraf, Benjamin Elizalde, Forrest N. Iandola, Matthew W. Moskewicz, Julia Bernd, Gerald Friedland, Kurt Keutzer:
Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. ICMR 2015: 611-614 - [i5]Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer:
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer. CoRR abs/1510.02131 (2015) - [i4]Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer:
FireCaffe: near-linear acceleration of deep neural network training on compute clusters. CoRR abs/1511.00175 (2015) - 2014
- [i3]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014) - [i2]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable Part Models are Convolutional Neural Networks. CoRR abs/1409.5403 (2014) - [i1]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From Captions to Visual Concepts and Back. CoRR abs/1411.4952 (2014) - 2013
- [c7]Mehdi Maasoumy, Pierluigi Nuzzo, Forrest N. Iandola, Maryam Kamgarpour, Alberto L. Sangiovanni-Vincentelli, Claire Tomlin:
Optimal load management system for Aircraft Electric Power distribution. CDC 2013: 2939-2945 - [c6]Ning Zhang, Ryan Farrell, Forrest N. Iandola, Trevor Darrell:
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction. ICCV 2013: 729-736 - [c5]Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer:
Communication-minimizing 2D convolution in GPU registers. ICIP 2013: 2116-2120 - 2012
- [c4]Fatemeh Saremi, Praveen Jayachandran, Forrest N. Iandola, Md. Yusuf Sarwar Uddin, Tarek F. Abdelzaher, Aylin Yener:
On schedulability and time composability of data aggregation networks. FUSION 2012: 997-1004 - 2011
- [c3]Forrest N. Iandola, Fatemeh Saremi, Tarek F. Abdelzaher, Praveen Jayachandran, Aylin Yener:
Real-time capacity of networked data fusion. FUSION 2011: 1-8 - [c2]Mahsa Kamali, Eyal Ofek, Forrest N. Iandola, Ido Omer, John C. Hart:
Linear Clutter Removal from Urban Panoramas. ISVC (2) 2011: 85-94 - [c1]Mahsa Kamali, Forrest N. Iandola, Hui Fang, John C. Hart:
MethMorph: Simulating Facial Deformation Due to Methamphatamine Usage. ISVC (1) 2011: 102-111
Coauthor Index
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