Research
In high school, I was obsessed with geometry and did a full survey on generalised Fermat problem. I then further studied its related NP-Hard Euclidean Steiner Tree problem during my undergrad study.
Currently, I am interested in machine learning, in particular meta-learning, self-supervised learning and multi-task learning with applications in vision and robotics. The following is my publications displayed in chronological order.
Publication
- Self-Supervised Generalisation with Meta Auxiliary Learning
arXiv Preprint
Shikun Liu, Andrew J. Davison and Edward Johns
[arxiv] [code] - End-to-End Multi-task Learning with Attention
arXiv Preprint
Shikun Liu, Edward Johns, and Andrew J. Davison
[arxiv] - Learning a Hierarchical Latent-Variable Model of 3D Shapes
International Conference on 3D Vision (3DV), 2018 [Oral]
Shikun Liu, C. Lee Giles, and Alexander G. Ororbia II.
[paper] [supplementary] [arxiv] [code] [project page]