Bo Chen
Bo Chen
Google. Inc / Caltech
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
96492017
Mnasnet: Platform-aware neural architecture search for mobile
M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
13102019
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
11432019
Learning Fine-grained Image Similarity with Deep Ranking
J Wang, Y Song, T Leung, C Rosenberg, J Wang, J Philbin, B Chen, Y Wu
CVPR, 2014
11172014
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
11162018
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
3042018
Morphnet: Fast & simple resource-constrained structure learning of deep networks
A Gordon, E Eban, O Nachum, B Chen, H Wu, TJ Yang, E Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2252018
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
1842017
Inductive principles for restricted Boltzmann machine learning
B Marlin, K Swersky, B Chen, N Freitas
Proceedings of the thirteenth international conference on artificial …, 2010
1802010
& 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
84
A tutorial on stochastic approximation algorithms for training restricted Boltzmann machines and deep belief nets
K Swersky, B Chen, B Marlin, N de Freitas
ITA Workshop, 2010
792010
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
B Chen, R Castro, A Krause
ICML, 2012
752012
Deep learning of invariant spatio-temporal features from video
B Chen, de Freitas, Nando
NIPS Deep Learning and Unsupervised Feature Learning Workshop, 2010
722010
Can weight sharing outperform random architecture search? an investigation with tunas
G Bender, H Liu, B Chen, G Chu, S Cheng, PJ Kindermans, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
492020
The hierarchical beta process for convolutional factor analysis and deep learning
B Chen, G Polatkan, G Sapiro, DB Dunson, L Carin
ICML, 2011
452011
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
272017
Low-power computer vision: Status, challenges, and opportunities
S Alyamkin, M Ardi, AC Berg, A Brighton, B Chen, Y Chen, HP Cheng, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019
262019
Mobiledets: Searching for object detection architectures for mobile accelerators
Y Xiong, H Liu, S Gupta, B Akin, G Bender, Y Wang, PJ Kindermans, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
172021
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
172020
Evaluating image similarity
Y Song, CJ Rosenberg, AYT Ng, B Chen
US Patent 8,831,358, 2014
162014
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20