Hengyu Liu

Orcid: 0009-0007-7965-1402

Affiliations:
  • Chinese University of Hong Kong, Hong Kong


According to our database1, Hengyu Liu authored at least 20 papers between 2024 and 2025.

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Bibliography

2025
MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy.
CoRR, August, 2025

Foundation Model-Guided Gaussian Splatting for 4D Reconstruction of Deformable Tissues.
IEEE Trans. Medical Imaging, June, 2025

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration.
CoRR, June, 2025

LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment.
CoRR, June, 2025

EndoGen: Conditional Autoregressive Endoscopic Video Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Hide-in-Motion: Embedding Steganographic Copyright Information into 4D Gaussian Splatting Assets.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
GaussianStego: A Generalizable Stenography Pipeline for Generative 3D Gaussians Splatting.
CoRR, 2024

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

Endora: Video Generation Models as Endoscopy Simulators.
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

<i>P<sup>2</sup>SAM: </i> Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LGS: A Light-Weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction.
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

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024


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