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Hartwig Adam
Hartwig Adam
Sr. Director of Research, Google DeepMind
google.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
304592017
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
187822018
Rethinking atrous convolution for semantic image segmentation
LC Chen, G Papandreou, F Schroff, H Adam
arXiv preprint arXiv:1706.05587, 2017
118392017
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
101862019
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
41242018
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
1961*2018
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
12732019
Axial-deeplab: Stand-alone axial-attention for panoptic segmentation
H Wang, Y Zhu, B Green, H Adam, A Yuille, LC Chen
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
8952020
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
7952020
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
7352018
Max-deeplab: End-to-end panoptic segmentation with mask transformers
H Wang, Y Zhu, H Adam, A Yuille, LC Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
6312021
Large-scale object classification using label relation graphs
J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ...
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
5702014
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
5192019
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
5092009
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
4932018
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
4882018
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
3752009
Facial recognition with social network aiding
D Petrou, A Rabinovich, H Adam
US Patent 8,670,597, 2014
2772014
Sixteen facial expressions occur in similar contexts worldwide
AS Cowen, D Keltner, F Schroff, B Jou, H Adam, G Prasad
Nature 589 (7841), 251-257, 2021
2552021
Image based multi-biometric system and method
H Adam, H Neven, JB Steffens
US Patent 7,697,735, 2010
2532010
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