Moyun Liu

Orcid: 0000-0002-4530-2606

According to our database1, Moyun Liu authored at least 26 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation.
IEEE Trans. Circuits Syst. Video Technol., June, 2026

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs.
CoRR, May, 2026

Prompt-Driven Lightweight Foundation Model for Instance Segmentation-Based Fault Detection in Freight Trains.
CoRR, March, 2026

HAMMER: Harnessing MLLM via Cross-Modal Integration for Intention-Driven 3D Affordance Grounding.
CoRR, March, 2026

2025
Generalized Probabilistic Graphical Modeling for Multi-View Bipartite Graph Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

SGIFormer: Semantic-Guided and Geometric-Enhanced Interleaving Transformer for 3D Instance Segmentation.
IEEE Trans. Circuits Syst. Video Technol., March, 2025

GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models.
IEEE Trans. Multim., 2025

MAENet: Boost image-guided point cloud completion more accurate and even.
Inf. Fusion, 2025

GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Towards Better Unguided Depth Completion via Cross-Modality Knowledge Distillation in the Frequency Domain.
IEEE Trans. Intell. Veh., November, 2024

Efficient Visual Fault Detection for Freight Train via Neural Architecture Search With Data Volume Robustness.
IEEE Trans. Ind. Informatics, October, 2024

MENet: Multi-Modal Mapping Enhancement Network for 3D Object Detection in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., August, 2024

A concise but high-performing network for image guided depth completion in autonomous driving.
Knowl. Based Syst., 2024

Multiple prior representation learning for self-supervised monocular depth estimation via hybrid transformer.
Eng. Appl. Artif. Intell., 2024

A Concise but Effective Network for Image Guided Depth Completion in Autonomous Driving.
CoRR, 2024

GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis.
CoRR, 2024

SemiT-SAM: Building A Visual Foundation Model for Tooth Instance Segmentation on Panoramic Radiographs.
Proceedings of the Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data, 2024

2023
BF3D: Bi-directional fusion 3D detector with semantic sampling and geometric mapping.
Image Vis. Comput., November, 2023

Adaptive fusion affinity graph with noise-free online low-rank representation for natural image segmentation.
Pattern Recognit., September, 2023

A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration.
CoRR, 2023

A Data-Driven Phantom Zeros Prediction Algorithm for Traction Force Sensor in Kinesthetic Demonstration.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022
Affinity Fusion Graph-Based Framework for Natural Image Segmentation.
IEEE Trans. Multim., 2022

A lightweight and accurate recognition framework for signs of X-ray weld images.
Comput. Ind., 2022

2021
A Unified Light Framework for Real-Time Fault Detection of Freight Train Images.
IEEE Trans. Ind. Informatics, 2021

LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image.
CoRR, 2021

2020
Real-Time Vision-Based System of Fault Detection for Freight Trains.
IEEE Trans. Instrum. Meas., 2020


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