Dmitry Kalenichenko
Dmitry Kalenichenko
Email verificata su google.com
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Citata da
Citata da
Anno
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
86502017
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
79682015
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
9462018
& 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
76
Generating numeric embeddings of images
JW Philbin, GF Schroff, D Kalenichenko
US Patent 9,836,641, 2017
462017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. apr 2017
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
URL http://arxiv. org/abs/1704.04861, 2017
422017
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
312019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. CoRR
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ...
URL http://arxiv. org/abs/1704.04861, 2017
212017
Identifying consumers in a transaction via facial recognition
S Chandrasekaran, D Kalenichenko, TR Zwiebel
US Patent 9,619,803, 2017
162017
Identifying consumers via facial recognition to provide services
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,733,587, 2020
152020
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 App. 15/707,064, 2018
122018
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
112020
Identifying consumers in a transaction via facial recognition
S Chandrasekaran, D Kalenichenko, TR Zwiebel
US Patent 10,726,407, 2020
102020
Facial profile modification for hands free transactions
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,482,463, 2019
82019
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
82019
FaceNet
F Schroff, D Kalenichenko, J Philbin
CVPR, 2015
42015
Facial profile password to modify user account data for hands free transactions
S Chandrasekaran, D Ho, D Kalenichenko, V Chitilian, TR Zwiebel, ...
US Patent 10,826,898, 2020
32020
Generating object embeddings from images
GF Schroff, D Kalenichenko, K Ye
US Patent 10,657,359, 2020
22020
Generating numeric embeddings of images
JW Philbin, GF Schroff, D Kalenichenko
US Patent 10,621,420, 2020
12020
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 App. 16/524,410, 2019
12019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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