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HAIR: Head-mounted AR Intention Recognition


Feb 22, 2021
David Puljiz, Bowen Zhou, Ke Ma, Björn Hein

* As accepted to the 4th Virtual, Augmented and Mixed reality Human-robot interaction workshop (VAM-HRI), HRI 2021 

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AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications


Jan 28, 2021
Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du

* Ubicomp 2021 

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Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems


Jan 22, 2021
Ke Ma, Dongxuan He, Hancun Sun, Zhaocheng Wang, Sheng Chen

* Submitted to IEEE Transactions on Communications 

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On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization


Jan 01, 2021
Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao

* 27 pages, 5 figures 

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Intrinsic Decomposition of Document Images In-the-Wild


Nov 29, 2020
Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, Maria Vanrell, Dimitris Samaras

* This a modified version of the BMVC 2020 accepted manuscript 

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Attribute-guided image generation from layout


Aug 27, 2020
Ke Ma, Bo Zhao, Leonid Sigal

* BMVC 2020 

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Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size


Dec 01, 2019
Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

* 19 pages, 5 figures, accepted by IEEE Transaction on Knowledge and Data Engineering, Conference Version: arXiv:1711.06446 

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Robust Ordinal Embedding from Contaminated Relative Comparisons


Dec 05, 2018
Ke Ma, Qianqian Xu, Xiaochun Cao

* Accepted by AAAI 2019 

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Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin


Dec 05, 2018
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

* Accepted by AAAI 2019 

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Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size


Jan 31, 2018
Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

* 11 pages, 3 figures, 2 tables, accepted by AAAI2018 

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