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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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Domain-robust VQA with diverse datasets and methods but no target labels


Mar 29, 2021
Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa

* To appear in CVPR 2021 

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Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection


Aug 16, 2019
Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent

* To appear in ICCV 2019 

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Learning to discover and localize visual objects with open vocabulary


Nov 25, 2018
Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent


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Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text


Jul 21, 2018
Mingda Zhang, Rebecca Hwa, Adriana Kovashka

* To appear in BMVC2018 

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Automatic Understanding of Image and Video Advertisements


Jul 10, 2017
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka

* To appear in CVPR 2017; data available on http://cs.pitt.edu/~kovashka/ads 

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