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Shikun Liu
Shikun Liu
Research Scientist, Meta AI
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
End-to-End Multi-Task Learning with Attention
S Liu, E Johns, AJ Davison
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
12502019
iMAP: Implicit Mapping and Positioning in Real-Time
E Sucar, S Liu, J Ortiz, AJ Davison
International Conference on Computer Vision (ICCV), 2021
5832021
Self-Supervised Generalisation with Meta Auxiliary Learning
S Liu, AJ Davison, E Johns
Conference on Neural Information Processing Systems (NeurIPS), 2019
1962019
Bootstrapping Semantic Segmentation with Regional Contrast
S Liu, S Zhi, E Johns, AJ Davison
International Conference on Learning Representations (ICLR), 2022
1502022
Learning a Hierarchical Latent-Variable Model of 3D Shapes
S Liu, CL Giles, AG Ororbia II
International Conference on 3D Vision (3DV), 2018
942018
vMAP: Vectorised Object Mapping for Neural Field SLAM
X Kong, S Liu, M Taher, AJ Davison
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
722023
Auto-Lambda: Disentangling Dynamic Task Relationships
S Liu, S James, AJ Davison, E Johns
Transactions on Machine Learning Research (TMLR), 2022
672022
Prismer: A Vision-Language Model with Multi-Task Experts
S Liu, L Fan, E Johns, Z Yu, C Xiao, A Anandkumar
Transactions on Machine Learning Research (TMLR), 2024
53*2024
EscherNet: A Generative Model for Scalable View Synthesis
X Kong, S Liu, X Lyu, M Taher, X Qi, AJ Davison
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
222024
Shape Adaptor: A Learnable Resizing Module
S Liu, Z Lin, Y Wang, J Zhang, F Perazzi, E Johns
European Conference on Computer Vision (ECCV), 2020
112020
Mardini: Masked autoregressive diffusion for video generation at scale
H Liu, S Liu, Z Zhou, M Xu, Y Xie, X Han, JC Pérez, D Liu, K Kahatapitiya, ...
arXiv preprint arXiv:2410.20280, 2024
42024
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Articles 1–11