Weihuang Liu

Orcid: 0000-0002-9532-7633

According to our database1, Weihuang Liu authored at least 14 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media.
CoRR, April, 2026

Explicit Visual Prompting for Universal Foreground Segmentations.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

2025
CMAMRNet: A Contextual Mask-Aware Network Enhancing Mural Restoration Through Comprehensive Mask Guidance.
CoRR, August, 2025

MotionRefineNet: Fine-Grained Pose Sequence Smoothing and Refinement.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
DH-GAN: Image manipulation localization via a dual homology-aware generative adversarial network.
Pattern Recognit., 2024

Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification.
J. Biomed. Informatics, 2024

ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training.
CoRR, 2024

Test-Time Intensity Consistency Adaptation for Shadow Detection.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Depth-Aware Test-Time Training for Zero-Shot Video Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Explicit Visual Prompting for Low-Level Structure Segmentations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020
Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN.
Speech Commun., 2020

2019
Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection.
Future Internet, 2019


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