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On Label Granularity and Object Localization


Jul 20, 2022
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha

* ECCV 2022 

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MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context


Dec 22, 2021
Weijun Wang, Andrew Howard


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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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