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Xiaodan Liang

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

Jul 29, 2018
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

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* Accepted by MICCAI 2018 Workshop on Deep Learning in Medical Image Analysis

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Query-Conditioned Three-Player Adversarial Network for Video Summarization

Jul 17, 2018
Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing

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* 13 pages, 3 figures, BMVC 2018

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Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

Jul 14, 2018
Peilun Li, Xiaodan Liang, Daoyuan Jia, Eric P. Xing

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* In proceedings of BMVC 2018

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Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful

Jul 11, 2018
Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger, Xiaodan Liang, Thomas Lachmann, Eric Xing

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* ICML 2018, Workshop TADGM

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CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

Jul 10, 2018
Xiaodan Liang, Tairui Wang, Luona Yang, Eric Xing

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* To appear in ECCV 2018

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Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio

Jul 10, 2018
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

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* Accepted by MICCAI 2018

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Rethinking Knowledge Graph Propagation for Zero-Shot Learning

May 31, 2018
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing

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* The first two authors contributed equally. Code at https://github.com/cyvius96/adgpm

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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

May 28, 2018
Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan

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* Accepted to appear in CVPR 2017 (oral)

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