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Few-shot Medical Image Segmentation with Cycle-resemblance Attention


Dec 07, 2022
Hao Ding, Changchang Sun, Hao Tang, Dawen Cai, Yan Yan

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* Work accepted to WACV 2023 

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Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints


Nov 30, 2022
Hao Ding, Jie Ying Wu, Zhaoshuo Li, Mathias Unberath

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Twin-S: A Digital Twin for Skull-base Surgery


Nov 21, 2022
Hongchao Shu, Ruixing Liang, Zhaoshuo Li, Anna Goodridge, Xiangyu Zhang, Hao Ding, Nimesh Nagururu, Manish Sahu, Francis X. Creighton, Russell H. Taylor, Adnan Munawar, Mathias Unberath

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CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data


Apr 06, 2022
Hao Ding, Jintan Zhang, Peter Kazanzides, Jie Ying Wu, Mathias Unberath

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Context Uncertainty in Contextual Bandits with Applications to Recommender Systems


Feb 16, 2022
Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

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* To appear at AAAI 2022 

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On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation


Sep 13, 2021
Zhaoshuo Li, Nathan Drenkow, Hao Ding, Andy S. Ding, Alexander Lu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath

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* preprint 

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Influence Selection for Active Learning


Aug 20, 2021
Zhuoming Liu, Hao Ding, Huaping Zhong, Weijia Li, Jifeng Dai, Conghui He

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* ICCV2021 accepted paper 

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Zero-Shot Recommender Systems


May 18, 2021
Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang

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Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism


Jul 20, 2020
Hao Ding, Songsong Wu, Hao Tang, Fei Wu, Guangwei Gao, Xiao-Yuan Jing

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