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Haofeng Liu
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2020 – today
- 2024
- [j5]Haofeng Liu, Yanyan Zhou, Shuiping Gou, Zhonghua Luo:
Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images. Comput. Biol. Medicine 174: 108420 (2024) - [c15]Haofeng Liu, Jiayi Tan, Yanchun Cheng, Yiwen Chen, Haiyue Zhu, Marcelo H. Ang:
Solving Challenging Tasks with Manipulation Policy with Limited Demonstrations. AIM 2024: 697-702 - [c14]Haofeng Liu, Chenshu Xu, Yifei Yang, Lihua Zeng, Shengfeng He:
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation. CVPR 2024: 6743-6752 - [c13]Haofeng Liu, Emad Alsusa, Arafat Al-Dweik:
Efficient Receiver Design for Uplink NOMA-based ISaC Systems with Interference Cancellation. WCNC 2024: 1-6 - [i10]Haofeng Liu, Chenshu Xu, Yifei Yang, Lihua Zeng, Shengfeng He:
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation. CoRR abs/2404.01050 (2024) - [i9]Haofeng Liu, Erli Zhang, Junde Wu, Mingxuan Hong, Yueming Jin:
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning. CoRR abs/2408.07931 (2024) - 2023
- [j4]Haofeng Liu, Emad Alsusa:
A Novel ISaC Approach for Uplink NOMA System. IEEE Commun. Lett. 27(9): 2333-2337 (2023) - [j3]Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang, Xiaolong Liu, Lei Huang, Zhengxin Huang:
MaskDis R-CNN: An instance segmentation algorithm with adversarial network for herd pigs. IET Image Process. 17(12): 3488-3499 (2023) - [j2]Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu:
A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Anal. 90: 102945 (2023) - [c12]Haofeng Liu, Jiayi Tan, Yiwen Chen, Marcelo H. Ang:
Learning Complicated Manipulation Skills Via Deterministic Policy with Limited Demonstrations. ICAR 2023: 499-505 - [c11]Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu:
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network. ISBI 2023: 1-5 - [i8]Haofeng Liu, Yiwen Chen, Jiayi Tan, Marcelo H. Ang:
Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations. CoRR abs/2303.16469 (2023) - [i7]Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu:
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. CoRR abs/2309.00885 (2023) - 2022
- [j1]Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu:
An Annotation-Free Restoration Network for Cataractous Fundus Images. IEEE Trans. Medical Imaging 41(7): 1699-1710 (2022) - [c10]Haofeng Liu, Haojin Li, Xiaoxuan Wang, Heng Li, Mingyang Ou, Luoying Hao, Yan Hu, Jiang Liu:
Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis. EMBC 2022: 438-442 - [c9]Mingyang Ou, Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Luoying Hao, Yan Hu, Jiang Liu:
MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning. EMBC 2022: 5035-5038 - [c8]Mengyao Fan, Haofeng Liu, Zhenyu Zhu, Changzhe Jiao, Shuiping Gou:
Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning. IFIP TC12 ICIS 2022: 68-75 - [c7]Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Hao Chen, Yan Hu, Jiang Liu:
Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation. ISBI 2022: 1-5 - [c6]Haofeng Liu, Heng Li, Mingyang Ou, Yitian Zhao, Hong Qi, Yan Hu, Jiang Liu:
Domain Generalization in Restoration of Cataract Fundus Images Via High-Frequency Components. ISBI 2022: 1-5 - [c5]Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. MICCAI (2) 2022: 487-496 - [c4]Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network. MICCAI (2) 2022: 507-516 - [c3]Haofeng Liu, Yuefeng Liu, Yue Wang, Bo Liu, Xiang Bao:
EEG classification algorithm of motor imagery based on CNN-Transformer fusion network. TrustCom 2022: 1302-1309 - [i6]Yiwen Chen, Zedong Zhang, Haofeng Liu, Jiayi Tan, Marcelo H. Ang:
FIRL: Fast Imitation and Policy Reuse Learning. CoRR abs/2203.00251 (2022) - [i5]Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu:
An Annotation-free Restoration Network for Cataractous Fundus Images. CoRR abs/2203.07737 (2022) - [i4]Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement. CoRR abs/2206.04684 (2022) - [i3]Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network. CoRR abs/2210.09606 (2022) - 2021
- [c2]Heng Li, Haofeng Liu, Yan Hu, Risa Higashita, Yitian Zhao, Hong Qi, Jiang Liu:
Restoration Of Cataract Fundus Images Via Unsupervised Domain Adaptation. ISBI 2021: 516-520 - [c1]Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu:
A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation. MICCAI (1) 2021: 99-108 - [i2]Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu:
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation. CoRR abs/2106.07557 (2021) - [i1]Haofeng Liu, Yiwen Chen, Jiayi Tan, Marcelo H. Ang Jr.:
Improving Learning from Demonstrations by Learning from Experience. CoRR abs/2111.08156 (2021)
Coauthor Index
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last updated on 2024-11-04 21:41 CET by the dblp team
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