Shijie Lian

According to our database1, Shijie Lian authored at least 9 papers between 2022 and 2025.

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Bibliography

2025
MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification.
CoRR, July, 2025

UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset.
CoRR, May, 2025

TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussian.
CoRR, May, 2025

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM.
CoRR, March, 2025

TMANet: Triple Multi-Scale Attention based Network with Boundary Association Loss for Superpixel Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment.
CoRR, 2024

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
WaterMask: Instance Segmentation for Underwater Imagery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
DSMISR: Differential Siamese Multi-scale Attention Network for Iris Image Super Resolution.
Proceedings of the IEEE Smartworld, 2022


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