Andrew Howard

22 papers A* 3Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Custom Gradient Estimators are Straight-Through Estimators in Disguise.
CoRR
Matt Schoenbauer, Daniele Moro, Lukasz Lew, Andrew Howard
2024 J jnl
MobileNetV4 - Universal Models for the Mobile Ecosystem.
CoRR
Danfeng Qin, Chas Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby R. Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard
2021 — conf
BasisNet: Two-Stage Model Synthesis for Efficient Inference.
CVPR Workshops
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka
2021 — conf
Discovering Multi-Hardware Mobile Models via Architecture Search.
CVPR Workshops
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
2021 J jnl
MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context.
CoRR
Weijun Wang, Andrew Howard
2021 J jnl
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection.
CoRR
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni
2020 J jnl
Discovering Multi-Hardware Mobile Models via Architecture Search.
CoRR
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
2020 J jnl
Large-Scale Generative Data-Free Distillation.
CoRR
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard
2020 J jnl
Multi-path Neural Networks for On-device Multi-domain Visual Classification.
CoRR
Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Feng Yang, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar
2019 J jnl
Geo-Aware Networks for Fine Grained Recognition.
CoRR
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam
2019 — conf
Geo-Aware Networks for Fine-Grained Recognition.
ICCV Workshops
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam
2019 J jnl
Low-Power Computer Vision: Status, Challenges, Opportunities.
CoRR
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019 J jnl
Low-Power Computer Vision: Status, Challenges, and Opportunities.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2019 A* conf
MnasNet: Platform-Aware Neural Architecture Search for Mobile.
CVPR
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le
2019 — conf
Non-Discriminative Data or Weak Model? On the Relative Importance of Data and Model Resolution.
ICCV Workshops
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard
2019 J jnl
Non-discriminative data or weak model? On the relative importance of data and model resolution.
CoRR
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard
2019 A* conf
Searching for MobileNetV3.
ICCV
Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu
2019 J jnl
Searching for MobileNetV3.
CoRR
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam
2019 J jnl
Visual Wake Words Dataset.
CoRR
Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes
2018 J jnl
2018 Low-Power Image Recognition Challenge.
CoRR
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2018 A* conf
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning.
CVPR
Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie
2018 J jnl
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning.
CoRR
Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie