Shikun Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Brain Tumor Segmentation

Discover Hidden

Domain Adaptation

Top Venues

Trans. Mach. Learn. Res.

Biomed. Signal Process. Control.

Publications

Shikun Liu, Deyu Zou, Han Zhao, Pan Li
Pairwise Alignment Improves Graph Domain Adaptation. CoRR (2024)
Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison
EscherNet: A Generative Model for Scalable View Synthesis. CoRR (2024)
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
Prismer: A Vision-Language Model with Multi-Task Experts. Trans. Mach. Learn. Res. 2024 (2024)
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR (2023)
Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
vMAP: Vectorised Object Mapping for Neural Field SLAM. CVPR (2023)
Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
vMAP: Vectorised Object Mapping for Neural Field SLAM. CoRR (2023)
Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. CoRR (2023)
Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiu Qiang, Pan Li
Structural Re-weighting Improves Graph Domain Adaptation. CoRR (2023)
Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li
Structural Re-weighting Improves Graph Domain Adaptation. ICML (2023)
Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
Auto-Lambda: Disentangling Dynamic Task Relationships. Trans. Mach. Learn. Res. 2022 (2022)
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
Bootstrapping Semantic Segmentation with Regional Contrast. ICLR (2022)
Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
Auto-Lambda: Disentangling Dynamic Task Relationships. CoRR (2022)
Peixu Wang, Shikun Liu, Jialin Peng
AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation. ICPR (2022)
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
iMAP: Implicit Mapping and Positioning in Real-Time. ICCV (2021)
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
Bootstrapping Semantic Segmentation with Regional Contrast. CoRR (2021)
Zhongfu Li, Shikun Liu
Media audio-visual program supervision system based on network topology. Int. J. Syst. Assur. Eng. Manag. 12 (4) (2021)
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
iMAP: Implicit Mapping and Positioning in Real-Time. CoRR (2021)
Lu Zheng, Shikun Liu
Research on the strategy of mobile short video in product sales based on 5G network and embedded system. Microprocess. Microsystems 82 (2021)
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
Shape Adaptor: A Learnable Resizing Module. CoRR (2020)
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
Shape Adaptor: A Learnable Resizing Module. ECCV (12) (2020)
Shikun Liu, Edward Johns, Andrew J. Davison
End-To-End Multi-Task Learning With Attention. CVPR (2019)
Shikun Liu, Andrew J. Davison, Edward Johns
Self-Supervised Generalisation with Meta Auxiliary Learning. NeurIPS (2019)
Shikun Liu, Andrew J. Davison, Edward Johns
Self-Supervised Generalisation with Meta Auxiliary Learning. CoRR (2019)
Shikun Liu, C. Lee Giles, Alexander Ororbia
Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV (2018)
Shikun Liu, Edward Johns, Andrew J. Davison
End-to-End Multi-Task Learning with Attention. CoRR (2018)
Shunqi Zhang, Xiaoqing Zhou, Shikun Liu, Tao Yin, Zhipeng Liu
Research on barker coded excitation method for magneto-acoustic imaging. Biomed. Signal Process. Control. 39 (2018)
Shikun Liu, Alexander G. Ororbia II, C. Lee Giles
Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes. CoRR (2017)