Xiaoyu Liu

Orcid: 0000-0001-8725-8212

Affiliations:
  • University of Würzburg, Computer Vision Lab, Würzburg, Germany


According to our database1, Xiaoyu Liu authored at least 28 papers between 2021 and 2025.

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Bibliography

2025
Dual form Complementary Masking for Domain-Adaptive Image Segmentation.
CoRR, July, 2025

AnimateAnywhere: Rouse the Background in Human Image Animation.
CoRR, April, 2025

BioSAM: Generating SAM Prompts From Superpixel Graph for Biological Instance Segmentation.
IEEE J. Biomed. Health Informatics, January, 2025

QMamba: Post-Training Quantization for Vision State Space Models.
CoRR, January, 2025

Graph relation distillation for efficient biomedical instance segmentation.
Pattern Recognit., 2025

MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

CBQ: Cross-Block Quantization for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Multi-Granularity Semantic Revision for Large Language Model Distillation.
CoRR, 2024

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation.
CoRR, 2024

TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction.
CoRR, 2024

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning Multiscale Consistency for Self-Supervised Electron Microscopy Instance Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions.
Proceedings of the Computer Vision - ECCV 2024, 2024

PQ-SAM: Post-training Quantization for Segment Anything Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

Distilling Semantic Priors from SAM to Efficient Image Restoration Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Cross-dimension Affinity Distillation for 3D EM Neuron Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation.
CoRR, 2023

PCTrans: Position-Guided Transformer with Query Contrast for Biological Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Soma Segmentation Benchmark in Full Adult Fly Brain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficient Biomedical Instance Segmentation via Knowledge Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Advanced Deep Networks for 3d Mitochondria Instance Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Biological Instance Segmentation with a Superpixel-Guided Graph.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022


2021
Learning Neuron Stitching for Connectomics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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