Xinyu Liu

Orcid: 0000-0002-5180-6958

Affiliations:
  • 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 29 papers between 2021 and 2024.

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Bibliography

2024
Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
CoRR, 2024

Endora: Video Generation Models as Endoscopy Simulators.
CoRR, 2024

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.
CoRR, 2024

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MOST: Multi-formation Soft Masking for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

[inline-graphic not available: see fulltext]Endora: Video Generation Models as Endoscopy Simulators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation.
Proceedings of the Computer Vision - ECCV 2024, 2024

CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

PV-SSM: Exploring Pure Visual State Space Model for High-dimensional Medical Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention.
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

Intervention & Interaction Federated Abnormality Detection with Noisy Clients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Towards Robust Adaptive Object Detection under Noisy Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation.
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

Exploring Gradient Flow Based Saliency for DNN Model Compression.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data.
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


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