Segui
Weijun Wang
Weijun Wang
Google DeepMind, Google Research, Tsinghua University, University of Southern California
Email verificata su google.com
Titolo
Citata da
Citata da
Anno
Mobilenets: Efficient convolutional neural networks for mobile vision applications
AG Howard
arXiv preprint arXiv:1704.04861, 2017
272072017
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
86492019
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
6012017
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
2152017
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
912017
Searching for mobilenetv3. arXiv 2019
A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ...
arXiv preprint arXiv:1905.02244, 1905
811905
Geo-aware networks for fine-grained recognition
G Chu, B Potetz, W Wang, A Howard, Y Song, F Brucher, T Leung, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
782019
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
492017
Effects of steam explosion pretreatment on the bioactive components and characteristics of rapeseed and rapeseed products
W Wang, B Yang, W Li, Q Zhou, C Liu, C Zheng
LWT 143, 111172, 2021
412021
Discovering multi-hardware mobile models via architecture search
G Chu, O Arikan, G Bender, W Wang, A Brighton, PJ Kindermans, H Liu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
312021
MobileNetV4-Universal Models for the Mobile Ecosystem
D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ...
arXiv preprint arXiv:2404.10518, 2024
302024
& Adam, H.(2017)
AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand
Mobilenets: Efficient convolutional neural networks for mobile vision …, 0
29
Robust object tracking using constellation model with superpixel
W Wang, R Nevatia
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
272013
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
242017
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation
S Sun, W Wang, Q Yu, AG Howard, P Torr, LC Chen
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
112023
Beyond pedestrians: A hybrid approach of tracking multiple articulating humans
W Wang, R Nevatia, B Yang
2015 IEEE Winter Conference on Applications of Computer Vision, 132-139, 2015
112015
Mobilenetv4-universal models for the mobile ecosystem. arXiv 2024
D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ...
arXiv preprint arXiv:2404.10518, 0
11
Object Retrieval Using Configurations of Salient Regions
W Wang, Y Luo, G Tang
Proceedings of the 2008 international conference on Content-based image and …, 2008
102008
Mosaic: Mobile segmentation via decoding aggregated information and encoded context
W Wang, A Howard
arXiv preprint arXiv:2112.11623, 2021
62021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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