Dmitry Kalenichenko
Dmitry Kalenichenko
Verified email at google.com
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
112922017
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
96372015
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
13472018
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
2322017
& Adam, H.(2017). 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, 0
100
Generating numeric embeddings of images
JW Philbin, GF Schroff, D Kalenichenko
US Patent 9,836,641, 2017
522017
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
502019
Mobilenets: efficient convolutional neural networks for mobile vision applications. CoRR
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
arXiv preprint arXiv:1704.04861, 2017
372017
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
262020
Identifying consumers in a transaction via facial recognition
S Chandrasekaran, D Kalenichenko, TR Zwiebel
US Patent 9,619,803, 2017
262017
Identifying consumers via facial recognition to provide services
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,733,587, 2020
222020
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
162021
Identifying consumers in a transaction via facial recognition
S Chandrasekaran, D Kalenichenko, TR Zwiebel
US Patent 10,726,407, 2020
142020
Facial profile password to modify user account data for hands-free transactions
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,397,220, 2019
112019
Facial profile modification for hands free transactions
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,482,463, 2019
92019
FaceNet
F Schroff, D Kalenichenko, J Philbin
A unified embedding for face recognition and clustering, 2015
52015
Generating object embeddings from images
GF Schroff, D Kalenichenko, K Ye
US Patent 10,657,359, 2020
32020
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 11,157,815, 2021
22021
Generating numeric embeddings of images
JW Philbin, GF Schroff, D Kalenichenko
US Patent 10,621,420, 2020
12020
Generating object embeddings from images
GF Schroff, D Kalenichenko, K Ye
US Patent 11,126,820, 2021
2021
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