Shikun Liu

Orcid: 0000-0003-0768-1497

According to our database1, Shikun Liu authored at least 18 papers between 2017 and 2024.

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Bibliography

2024
Pairwise Alignment Improves Graph Domain Adaptation.
CoRR, 2024

EscherNet: A Generative Model for Scalable View Synthesis.
CoRR, 2024

2023
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts.
CoRR, 2023

Prismer: A Vision-Language Model with An Ensemble of Experts.
CoRR, 2023

Structural Re-weighting Improves Graph Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

vMAP: Vectorised Object Mapping for Neural Field SLAM.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Auto-Lambda: Disentangling Dynamic Task Relationships.
Trans. Mach. Learn. Res., 2022

AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Bootstrapping Semantic Segmentation with Regional Contrast.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Media audio-visual program supervision system based on network topology.
Int. J. Syst. Assur. Eng. Manag., 2021

Research on the strategy of mobile short video in product sales based on 5G network and embedded system.
Microprocess. Microsystems, 2021

iMAP: Implicit Mapping and Positioning in Real-Time.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Shape Adaptor: A Learnable Resizing Module.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Self-Supervised Generalisation with Meta Auxiliary Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

End-To-End Multi-Task Learning With Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Research on barker coded excitation method for magneto-acoustic imaging.
Biomed. Signal Process. Control., 2018

Learning a Hierarchical Latent-Variable Model of 3D Shapes.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes.
CoRR, 2017


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