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Dmitry Kalenichenko
Dmitry Kalenichenko
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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
255942017
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
164052015
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
33302018
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
5682017
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
2022017
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
1032019
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
872017
Generating numeric embeddings of images
JW Philbin, GF Schroff, D Kalenichenko
US Patent 9,836,641, 2017
842017
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
762015
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
632020
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
492021
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
462017
Identifying consumers via facial recognition to provide services
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,733,587, 2020
412020
Identifying consumers in a transaction via facial recognition
S Chandrasekaran, D Kalenichenko, TR Zwiebel
US Patent 9,619,803, 2017
382017
& Adam, H.(2017)
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand
Mobilenets: Efficient convolutional neural networks for mobile vision …, 0
25
Facial profile modification for hands free transactions
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,482,463, 2019
212019
Identifying consumers in a transaction via facial recognition
S Chandrasekaran, D Kalenichenko, TR Zwiebel
US Patent 10,726,407, 2020
202020
Generating object embeddings from images
GF Schroff, D Kalenichenko, K Ye
US Patent 10,657,359, 2020
72020
Memory-guided video object detection
M Zhu, M Liu, MC White, D Kalenichenko, Y Li
US Patent 11,961,298, 2024
42024
699 Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint 700
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861 701, 2017
22017
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