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Ke Gong

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Jan 26, 2021
Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

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* To appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (T-PAMI) 2021. We propose a graph reasoning and transfer learning framework, which incorporates human knowledge and label taxonomy into the intermediate graph representation learning beyond local convolutions. arXiv admin note: substantial text overlap with arXiv:1904.04536

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Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition

Dec 23, 2020
Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin

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* accepted in AAAI2021

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Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images

May 12, 2020
Mathias Rothermel, Ke Gong, Dieter Fritsch, Konrad Schindler, Norbert Haala

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* Accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing

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Layout-Graph Reasoning for Fashion Landmark Detection

Oct 04, 2019
Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin

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* 9 pages, 5 figures, CVPR2019

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Graphonomy: Universal Human Parsing via Graph Transfer Learning

Apr 09, 2019
Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin

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* Accepted to CVPR 2019. The Code is available at https://github.com/Gaoyiminggithub/Graphonomy

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End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

Mar 18, 2019
Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin

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* 8 pages, 5 figues, AAAI

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