Haofeng Liu

According to our database, Haofeng Liu authored at least 25 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning.

Haofeng Liu, Erli Zhang, Junde Wu, Mingxuan Hong, Yueming Jin

CoRR, 2024

Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images.

Haofeng Liu, Yanyan Zhou, Shuiping Gou, Zhonghua Luo

Comput. Biol. Medicine, 2024

Efficient Receiver Design for Uplink NOMA-based ISaC Systems with Interference Cancellation.

Haofeng Liu, Emad Alsusa, Arafat Al-Dweik

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation.

Haofeng Liu, Chenshu Xu, Yifei Yang, Lihua Zeng, Shengfeng He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Solving Challenging Tasks with Manipulation Policy with Limited Demonstrations.

Haofeng Liu, Jiayi Tan, Yanchun Cheng, Yiwen Chen, Haiyue Zhu, Marcelo H. Ang

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023

A generic fundus image enhancement network boosted by frequency self-supervised representation learning.

Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu

Medical Image Anal., December, 2023

A Novel ISaC Approach for Uplink NOMA System.

Haofeng Liu, Emad Alsusa

IEEE Commun. Lett., September, 2023

MaskDis R-CNN: An instance segmentation algorithm with adversarial network for herd pigs.

Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang, Xiaolong Liu, Lei Huang, Zhengxin Huang

IET Image Process., 2023

A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning.

Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu

CoRR, 2023

Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network.

Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Learning Complicated Manipulation Skills Via Deterministic Policy with Limited Demonstrations.

Haofeng Liu, Jiayi Tan, Yiwen Chen, Marcelo H. Ang

Proceedings of the 21st International Conference on Advanced Robotics, 2023

2022

An Annotation-Free Restoration Network for Cataractous Fundus Images.

Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu

IEEE Trans. Medical Imaging, 2022

FIRL: Fast Imitation and Policy Reuse Learning.

Yiwen Chen, Zedong Zhang, Haofeng Liu, Jiayi Tan, Marcelo H. Ang

CoRR, 2022

EEG classification algorithm of motor imagery based on CNN-Transformer fusion network.

Haofeng Liu, Yuefeng Liu, Yue Wang, Bo Liu, Xiang Bao

Proceedings of the IEEE International Conference on Trust, 2022

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network.

Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement.

Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain Generalization in Restoration of Cataract Fundus Images Via High-Frequency Components.

Haofeng Liu, Heng Li, Mingyang Ou, Yitian Zhao, Hong Qi, Yan Hu, Jiang Liu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation.

Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Hao Chen, Yan Hu, Jiang Liu

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning.

Mengyao Fan, Haofeng Liu, Zhenyu Zhu, Changzhe Jiao, Shuiping Gou

Proceedings of the Intelligence Science IV, 2022

MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning.

Mingyang Ou, Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Luoying Hao, Yan Hu, Jiang Liu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis.

Haofeng Liu, Haojin Li, Xiaoxuan Wang, Heng Li, Mingyang Ou, Luoying Hao, Yan Hu, Jiang Liu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Improving Learning from Demonstrations by Learning from Experience.

Haofeng Liu, Yiwen Chen, Jiayi Tan, Marcelo H. Ang Jr.

CoRR, 2021

A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation.

Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu

CoRR, 2021

A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation.

Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Restoration Of Cataract Fundus Images Via Unsupervised Domain Adaptation.

Heng Li, Haofeng Liu, Yan Hu, Risa Higashita, Yitian Zhao, Hong Qi, Jiang Liu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021