3 citations · 7 across the 6 of their papers we have counts for
6 papers
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
Zijun Long, Lipeng Zhuang, George Killick +3
Human-annotated vision datasets inevitably contain a fraction of human mislabelled examples. While the detrimental effects of such mislabelling on supervised learning are well-rese…
TELESIM: A Modular and Plug-and-Play Framework for Robotic Arm Teleoperation using a Digital Twin
Florent P Audonnet, Jonathan Grizou, Andrew Hamilton +1
We present TELESIM, a modular and plug-and-play framework for direct teleoperation of a robotic arm using a digital twin as the interface between the user and the robotic system. W…
When hard negative sampling meets supervised contrastive learning
Zijun Long, George Killick, Richard McCreadie +2
State-of-the-art image models predominantly follow a two-stage strategy: pre-training on large datasets and fine-tuning with cross-entropy loss. Many studies have shown that using…
A Data-Centric Approach For Dual-Arm Robotic Garment Flattening
Li Duan, Gerardo Aragon-Camarasa
Due to the high dimensionality of object states, a garment flattening pipeline requires recognising the configurations of garments for a robot to produce/select manipulation plans…
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
Li Duan, Lewis Boyd, Gerardo Aragon-Camarasa
In this paper, we propose to predict the physics parameters of real fabrics and garments by learning their physics similarities between simulated fabrics via a Physics Similarity N…
Robot Vision Architecture for Autonomous Clothes Manipulation
Li Sun, Gerardo Aragon-Camarasa, Simon Rogers +1
This paper presents a novel robot vision architecture for perceiving generic 3D clothes configurations. Our architecture is hierarchically structured, starting from low-level curva…