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Andrew Howard
Andrew Howard
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Cited by
Year
Mobilenets: Efficient convolutional neural networks for mobile vision applications
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861, 2017
171752017
Mobilenetv2: Inverted residuals and linear bottlenecks
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
134652018
Searching for MobileNetV3
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
arXiv preprint arXiv:1905.02244, 2019
35572019
Mnasnet: Platform-aware neural architecture search for mobile
M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
23642019
Quantization and training of neural networks for efficient integer-arithmetic-only inference
B Jacob, S Kligys, B Chen, M Zhu, M Tang, A Howard, H Adam, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
21102018
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation
A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu
7832018
Probability product kernels
T Jebara, R Kondor, A Howard
The Journal of Machine Learning Research 5, 819-844, 2004
6572004
Some improvements on deep convolutional neural network based image classification
AG Howard
arXiv preprint arXiv:1312.5402, 2013
5562013
Netadapt: Platform-aware neural network adaptation for mobile applications
TJ Yang, A Howard, B Chen, X Zhang, A Go, M Sandler, V Sze, H Adam
Proceedings of the European Conference on Computer Vision (ECCV), 285-300, 2018
4952018
Large scale fine-grained categorization and domain-specific transfer learning
Y Cui, Y Song, C Sun, A Howard, S Belongie
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4052018
The unreasonable effectiveness of noisy data for fine-grained recognition
J Krause, B Sapp, A Howard, H Zhou, A Toshev, T Duerig, J Philbin, ...
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
3742016
System and methods for adaptive model generation for detecting intrusions in computer systems
A Honig, A Howard, E Eskin, SJ Stolfo
US Patent 7,225,343, 2007
1282007
Multi-object tracking with representations of the symmetric group
R Kondor, A Howard, T Jebara
Artificial Intelligence and Statistics, 211-218, 2007
1042007
Proceedings of the IEEE conference on computer vision and pattern recognition
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
IEEE, 2018
992018
Adaptive model generation: an architecture for deployment of data mining-based intrusion detection systems
A Honig, A Howard, E Eskin, S Stolfo
Applications of data mining in computer security, 153-193, 2002
952002
Systems and methods for adaptive model generation for detecting intrusions in computer systems
A Honig, A Howard, E Eskin, SJ Stolfo
US Patent 8,893,273, 2014
802014
MobileNetV2: Inverted residuals and linear bottlenecks. arXiv 2018
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
arXiv preprint arXiv:1801.04381, 1801
801801
Visual wake words dataset
A Chowdhery, P Warden, J Shlens, A Howard, R Rhodes
arXiv preprint arXiv:1906.05721, 2019
742019
Inverted residuals and linear bottlenecks: Mobile networks for classification
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
detection and segmentation, 4510-4520, 2018
662018
Low-power computer vision: Status, challenges, and opportunities
S Alyamkin, M Ardi, AC Berg, A Brighton, B Chen, Y Chen, HP Cheng, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019
482019
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