Xinyu Liu
Orcid: 0000-0002-5180-6958Affiliations:
- Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- City University of Hong Kong, Department of Electrical Engineering, Hong Kong
- Harbin Institute of Technology, Control and Simulation Center, Harbin, China
According to our database1,
Xinyu Liu
authored at least 23 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Inf. Fusion, April, 2024
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation.
CoRR, 2024
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation.
CoRR, 2024
CoRR, 2024
2023
Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks.
Int. J. Comput. Vis., December, 2023
SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection.
IEEE Trans. Multim., 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A Source-Free Domain Adaptive Polyp Detection Framework With Style Diversification Flow.
IEEE Trans. Medical Imaging, 2022
Global Context Parallel Attention for Anchor-Free Instance Segmentation in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images.
Medical Image Anal., 2021
TanhExp: A smooth activation function with high convergence speed for lightweight neural networks.
IET Comput. Vis., 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021