Xinyue Huo

Orcid: 0000-0003-1724-9438

According to our database1, Xinyue Huo authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Domain-Agnostic Priors for Semantic Segmentation Under Unsupervised Domain Adaptation and Domain Generalization.
Int. J. Comput. Vis., September, 2024

One-Bit Supervision for Image Classification: Problem, Solution, and Beyond.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024

SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation.
CoRR, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation.
CoRR, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
VoxSeP: semi-positive voxels assist self-supervised 3D medical segmentation.
Multim. Syst., 2023

Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations.
IEEE Trans. Multim., 2022

Finding the Host from the Lesion by Iteratively Mining the Registration Graph.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Vibration-Based Uncertainty Estimation for Learning from Limited Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

Domain-Agnostic Prior for Transfer Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations.
CoRR, 2020

ATSO: Asynchronous Teacher-Student Optimizationfor Semi-Supervised Medical Image Segmentation.
CoRR, 2020


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