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Andrew Howard
Andrew Howard
Google Research
Dirección de correo verificada de google.com
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
AG Howard
arXiv preprint arXiv:1704.04861, 2017
270512017
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
246552018
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
85622019
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
36732019
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
35682018
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation
A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu
Proc. CVPR, 4510-4520, 2018
11762018
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
7122018
Probability product kernels
T Jebara, R Kondor, A Howard
The Journal of Machine Learning Research 5, 819-844, 2004
6812004
Some improvements on deep convolutional neural network based image classification
AG Howard
arXiv preprint arXiv:1312.5402, 2013
6362013
MobileNets: efficient convolutional neural networks for mobile vision applications (2017)
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861 126, 2017
5952017
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
5882018
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
4342016
MobileNetV2: Inverted residuals and linear bottlenecks. arXiv 2018
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
arXiv preprint arXiv:1801.04381, 1801
2231801
Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint (2017)
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861, 2017
2152017
Proceedings of the IEEE conference on computer vision and pattern recognition
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1842018
Visual wake words dataset
A Chowdhery, P Warden, J Shlens, A Howard, R Rhodes
arXiv preprint arXiv:1906.05721, 2019
1462019
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
1462007
Multi-object tracking with representations of the symmetric group
R Kondor, A Howard, T Jebara
Artificial intelligence and statistics, 211-218, 2007
1032007
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
962019
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
942002
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