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ORCIDShikun Liu
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2020 – today
- 2024
[j4]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)- [c11]Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison:
EscherNet: A Generative Model for Scalable View Synthesis. CVPR 2024: 9503-9513 - [c10]Shikun Liu, Deyu Zou, Han Zhao, Pan Li:
Pairwise Alignment Improves Graph Domain Adaptation. ICML 2024 - [i13]Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison:
EscherNet: A Generative Model for Scalable View Synthesis. CoRR abs/2402.03908 (2024) - [i12]Shikun Liu, Deyu Zou, Han Zhao, Pan Li:
Pairwise Alignment Improves Graph Domain Adaptation. CoRR abs/2403.01092 (2024) - 2023
- [c9]Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison:
vMAP: Vectorised Object Mapping for Neural Field SLAM. CVPR 2023: 952-961 - [c8]Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li:
Structural Re-weighting Improves Graph Domain Adaptation. ICML 2023: 21778-21793 - [i11]Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison:
vMAP: Vectorised Object Mapping for Neural Field SLAM. CoRR abs/2302.01838 (2023) - [i10]Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar:
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR abs/2303.02506 (2023) - [i9]Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiu Qiang, Pan Li:
Structural Re-weighting Improves Graph Domain Adaptation. CoRR abs/2306.03221 (2023) - [i8]Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li:
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. CoRR abs/2310.08677 (2023) - 2022
- [j3]Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. Trans. Mach. Learn. Res. 2022 (2022) - [c7]Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. ICLR 2022 - [c6]Peixu Wang, Shikun Liu, Jialin Peng:
AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation. ICPR 2022: 4623-4629 - [i7]Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. CoRR abs/2202.03091 (2022) - 2021
- [j2]Zhongfu Li, Shikun Liu
:
Media audio-visual program supervision system based on network topology. Int. J. Syst. Assur. Eng. Manag. 12(4): 705-717 (2021) - [c5]Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison:
iMAP: Implicit Mapping and Positioning in Real-Time. ICCV 2021: 6209-6218 - [i6]Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison:
iMAP: Implicit Mapping and Positioning in Real-Time. CoRR abs/2103.12352 (2021) - [i5]Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. CoRR abs/2104.04465 (2021) - 2020
- [c4]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. ECCV (12) 2020: 661-677 - [i4]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. CoRR abs/2008.00892 (2020)
2010 – 2019
- 2019
- [c3]Shikun Liu, Edward Johns, Andrew J. Davison:
End-To-End Multi-Task Learning With Attention. CVPR 2019: 1871-1880 - [c2]Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. NeurIPS 2019: 1677-1687 - [i3]Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. CoRR abs/1901.08933 (2019) - 2018
- [j1]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: 169-176 (2018) - [c1]Shikun Liu, C. Lee Giles, Alexander Ororbia:
Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV 2018: 542-551 - [i2]Shikun Liu, Edward Johns, Andrew J. Davison:
End-to-End Multi-Task Learning with Attention. CoRR abs/1803.10704 (2018) - 2017
- [i1]Shikun Liu, Alexander G. Ororbia II, C. Lee Giles:
Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes. CoRR abs/1705.05994 (2017)
Coauthor Index
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