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
86282017
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
37502018
Rethinking atrous convolution for semantic image segmentation
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2017
28112017
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
9382018
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
8732019
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
4752019
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
4672009
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
4032014
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
2672018
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
2412018
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
2372009
Facial recognition with social network aiding
D Petrou, A Rabinovich, H Adam
US Patent 8,670,597, 2014
2322014
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
2212018
Rethinking atrous convolution for semantic image segmentation. arXiv 2017
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2019
2082019
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
2022018
Image based multi-biometric system and method
H Adam, H Neven, JB Steffens
US Patent 7,697,735, 2010
2012010
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
1652013
Matching an approximately located query image against a reference image set
J Flynn, U Buddemeier, H Stewenius, H Neven, F Brucher, H Adam
US Patent 8,189,964, 2012
1482012
Branchout: Regularization for online ensemble tracking with convolutional neural networks
B Han, J Sim, H Adam
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1382017
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
1302019
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