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03/04/2023
Prismer: A Vision-Language Model with An Ensemble of Experts
Recent vision-language models have shown impressive multi-modal generati...
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02/03/2023
vMAP: Vectorised Object Mapping for Neural Field SLAM
We present vMAP, an object-level dense SLAM system using neural field re...
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02/07/2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Understanding the structure of multiple related tasks allows for multi-t...
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04/09/2021
Bootstrapping Semantic Segmentation with Regional Contrast
We present ReCo, a contrastive learning framework designed at a regional...
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03/23/2021
iMAP: Implicit Mapping and Positioning in Real-Time
We show for the first time that a multilayer perceptron (MLP) can serve ...
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08/03/2020
Shape Adaptor: A Learnable Resizing Module
We present a novel resizing module for neural networks: shape adaptor, a...
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01/25/2019
Self-Supervised Generalisation with Meta Auxiliary Learning
Learning with auxiliary tasks has been shown to improve the generalisati...
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03/28/2018
End-to-End Multi-Task Learning with Attention
In this paper, we propose a novel multi-task learning architecture, whic...
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05/17/2017