Hartwig Adam
Hartwig Adam
Director of Engineering, Google AI
Verified email at google.com - Homepage
Title
Cited by
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
101572017
Encoder-decoder with atrous separable convolution for semantic image segmentation
LC Chen, Y Zhu, G Papandreou, F Schroff, H Adam
Proceedings of the European Conference on Computer Vision (ECCV), 801-818, 2018
47192018
Rethinking atrous convolution for semantic image segmentation
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2017
35012017
Searching for mobilenetv3
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
12822019
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
11972018
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
C Liu, LC Chen, F Schroff, H Adam, W Hua, AL Yuille, L Fei-Fei
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
5822019
Tour the world: building a web-scale landmark recognition engine
YT Zheng, M Zhao, Y Song, H Adam, U Buddemeier, A Bissacco, ...
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1085-1092, 2009
4712009
Large-scale object classification using label relation graphs
J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ...
European conference on computer vision, 48-64, 2014
4252014
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
3202018
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
Advances in Neural Information Processing Systems, 8713-8724, 2018
2742018
Rethinking atrous convolution for semantic image segmentation. arXiv 2017
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2019
2662019
Masklab: Instance segmentation by refining object detection with semantic and direction features
LC Chen, A Hermans, G Papandreou, F Schroff, P Wang, H Adam
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2542018
The inaturalist species classification and detection dataset
G Van Horn, O Mac Aodha, Y Song, Y Cui, C Sun, A Shepard, H Adam, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2512018
Large-scale privacy protection in google street view
A Frome, G Cheung, A Abdulkader, M Zennaro, B Wu, A Bissacco, ...
2009 IEEE 12th international conference on computer vision, 2373-2380, 2009
2482009
Facial recognition with social network aiding
D Petrou, A Rabinovich, H Adam
US Patent 8,670,597, 2014
2372014
Image based multi-biometric system and method
H Adam, H Neven, JB Steffens
US Patent 7,697,735, 2010
2052010
Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie. The inaturalist species classification and detection dataset
G Van Horn
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
1872018
Feelvos: Fast end-to-end embedding learning for video object segmentation
P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1742019
Method and apparatus to incorporate automatic face recognition in digital image collections
H Adams, J Steffens, K Kiyohara, H Neven, B Westphal, T Magnusson, ...
US Patent 8,358,811, 2013
1672013
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
1662017
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