Projects

Here presents some representative projects which I have worked on. A complete list of my publications in chronological order is listed at the bottom of this page. The most up-to-date publication list can be found in my Google Scholar site.

EscherNet NEW

A Generative Model for Scalable View Synthesis

Prismer

A Vision-Language Generative Model with Multi-Task Experts

Auto-Lambda

A Unified Optimisation Framework for Multi-Task and Auxiliary Learning

ReCo

Bootstrapping Semantic Segmentation with Pixel-Level Contrastive Learning

Shape Adaptor

Learning Strides for Convolutional Neural Networks

MAXL

Self-Supervised Generalisation with Meta Auxiliary Learning

MTAN

Efficient Multi-Task Learning with Feature-Wise Attention

VSL

A Hierarchical Latent-Variable Model for 3D Shape Learning

Publications


CVPR 2024

EscherNet: A Generative Model for Scalable View Synthesis [Paper] [Blog] [Code]

Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, and Andrew J. Davison


TMLR 2024

Prismer: A Vision-Language Model with Multi-Task Experts [Paper] [Blog] [Code] [Demo]

Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, and Anima Anandkumar


CVPR 2023

vMAP: Vectorised Object Mapping for Neural Field SLAM [Paper] [Blog] [Code]

Xin Kong, Shikun Liu, Marwan Taher, and Andrew J. Davison


TMLR 2022

Auto-Lambda: Disentangling Dynamic Task Relationships [Paper] [Blog] [Code] [Slides]

Shikun Liu, Stephen James, Andrew J. Davison, and Edward Johns


ICLR 2022

Bootstrapping Semantic Segmentation with Regional Contrast [Paper] [Blog] [Code] [Slides]

Shikun Liu, Shuaifeng Zhi, Edward Johns, and Andrew J. Davison


ICCV 2021

iMAP: Implicit Mapping and Positioning in Real-Time [Paper] [Blog] [Code] [Video]

Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew J. Davison


ECCV 2020

Shape Adaptor: A Learnable Resizing Module [Paper] [Blog] [Code] [Slides]

Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, and Edward Johns


NeurIPS 2019

Self-Supervised Generalisation with Meta Auxiliary Learning [Paper] [Blog] [Code] [Slides]

Shikun Liu, Andrew J. Davison, and Edward Johns


CVPR 2019

End-to-End Multi-Task Learning with Attention [Paper] [Blog] [Code]

Shikun Liu, Edward Johns, and Andrew J. Davison


3DV 2018

Learning a Hierarchical Latent-Variable Model of 3D Shapes [Paper] [Blog] [Code]

Shikun Liu, C. Lee Giles, and Alexander G. Ororbia II.