| Mobilenets: Efficient convolutional neural networks for mobile vision applications AG Howard arXiv preprint arXiv:1704.04861, 2017 | 27158 | 2017 |
| Facenet: A unified embedding for face recognition and clustering F Schroff, D Kalenichenko, J Philbin Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 17037 | 2015 |
| 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 | 3583 | 2018 |
| 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 | 600 | 2017 |
| 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 | 215 | 2017 |
| Looking fast and slow: Memory-guided mobile video object detection M Liu, M Zhu, M White, Y Li, D Kalenichenko arXiv preprint arXiv:1903.10172, 2019 | 105 | 2019 |
| Mobilenets: E cient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 2, 2017 | 91 | 2017 |
| Generating numeric embeddings of images JW Philbin, GF Schroff, D Kalenichenko US Patent 9,836,641, 2017 | 86 | 2017 |
| Proceedings of the IEEE conference on computer vision and pattern recognition F Schroff, D Kalenichenko, J Philbin Proceedings of the IEEE conference on computer vision and pattern recognition, 2015 | 77 | 2015 |
| Mnasfpn: Learning latency-aware pyramid architecture for object detection on mobile devices B Chen, G Ghiasi, H Liu, TY Lin, D Kalenichenko, H Adam, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 66 | 2020 |
| Efficient convolutional neural networks and techniques to reduce associated computational costs AG Howard, B Chen, D Kalenichenko, TC Weyand, M Zhu, M Andreetto, ... US Patent 11,157,814, 2021 | 52 | 2021 |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications, CoRR abs/1704.04861 AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861 735, 2017 | 49 | 2017 |
| Identifying consumers via facial recognition to provide services S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ... US Patent 10,733,587, 2020 | 45 | 2020 |
| Identifying consumers in a transaction via facial recognition S Chandrasekaran, D Kalenichenko, TR Zwiebel US Patent 9,619,803, 2017 | 41 | 2017 |
| & Adam, H.(2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand Mobilenets: Efficient convolutional neural networks for mobile vision …, 0 | 28 | |
| Mobilenets: Efficient convolutional neural networks for mobile vision applications. CoRR (2017) AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861, 2017 | 24 | 2017 |
| Facial profile modification for hands free transactions S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ... US Patent 10,482,463, 2019 | 23 | 2019 |
| Identifying consumers in a transaction via facial recognition S Chandrasekaran, D Kalenichenko, TR Zwiebel US Patent 10,726,407, 2020 | 22 | 2020 |
| Generating object embeddings from images GF Schroff, D Kalenichenko, K Ye US Patent 10,657,359, 2020 | 7 | 2020 |
| Memory-guided video object detection M Zhu, M Liu, MC White, D Kalenichenko, Y Li US Patent 11,961,298, 2024 | 5 | 2024 |
