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Bridging the Gap Between Object Detection and User Intent via Query-Modulation


Jun 18, 2021
Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew Howard


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BasisNet: Two-stage Model Synthesis for Efficient Inference


May 07, 2021
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka

* To appear, 4th Workshop on Efficient Deep Learning for Computer Vision (ECV2021), CVPR2021 Workshop 

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SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection


Jan 04, 2021
Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni

* Accepted by the ACCV2020 (Oral) 

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Large-Scale Generative Data-Free Distillation


Dec 10, 2020
Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard


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Multi-path Neural Networks for On-device Multi-domain Visual Classification


Oct 10, 2020
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

* conference 

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Discovering Multi-Hardware Mobile Models via Architecture Search


Aug 18, 2020
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard


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Non-discriminative data or weak model? On the relative importance of data and model resolution


Oct 17, 2019
Mark Sandler, Jonathan Baccash, Andrey Zhmoginov, Andrew Howard

* ICCV 2019 Workshop on Real-World Recognition from Low-Quality Images and Videos 

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Visual Wake Words Dataset


Jun 12, 2019
Aakanksha Chowdhery, Pete Warden, Jonathon Shlens, Andrew Howard, Rocky Rhodes

* 10 pages, 4 figures 

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Geo-Aware Networks for Fine Grained Recognition


Jun 04, 2019
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam


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Searching for MobileNetV3


May 14, 2019
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


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Low-Power Computer Vision: Status, Challenges, Opportunities


Apr 15, 2019
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

* Preprint, Accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems. arXiv admin note: substantial text overlap with arXiv:1810.01732 

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K For The Price Of 1: Parameter Efficient Multi-task And Transfer Learning


Oct 25, 2018
Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew Howard


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2018 Low-Power Image Recognition Challenge


Oct 03, 2018
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

* 13 pages, workshop in 2018 CVPR, competition, low-power, image recognition 

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NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications


Sep 28, 2018
Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam

* Accepted by ECCV 2018 

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Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning


Jun 16, 2018
Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge Belongie

* CVPR 2018 

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MobileNetV2: Inverted Residuals and Linear Bottlenecks


Apr 02, 2018
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen


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Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference


Dec 15, 2017
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, Dmitry Kalenichenko

* 14 pages, 12 figures 

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The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition


Oct 18, 2016
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei

* ECCV 2016, data is released 

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Dynamical Systems Trees


Jul 11, 2012
Andrew Howard, Tony S. Jebara

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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