Robert B Fisher

Professor

University of Edinburgh

United Kingdom

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Robert B Fisher is a Professor at the University of Edinburgh, UK. His research interests encompass explainable graph embeddings, health monitoring systems for older adults, and human body movement analysis. He has contributed to various fields, including computer vision and deep learning, with recent publications focusing on health technology applications and 3D perception techniques.

Articles (11)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2021

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2020

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2020

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2020

Collaborators (9)

Jorge Azorin-Lopez

Associate Professor

Universidad de Alicante

SPAIN

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FARID BOUSSAID

University of Western Australia

AUSTRALIA

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Ana Giraldo Ospina

University of Western Australia

AUSTRALIA

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Jorge Calvo-Zaragoza

Assistant Professor

Universidad de Alicante

SPAIN

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Marcelo Saval-Calvo

Associate Professor

Universidad de Alicante

SPAIN

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Nahuel García D'Urso

assistant professor

Universidad de Alicante

SPAIN

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Jihong Zhu

University of York

UNITED KINGDOM

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Andres Fuster-Guillo

Associate Professor

Universidad de Alicante

SPAIN

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Senjian An

Curtin University

AUSTRALIA

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Robert B Fisher

Research Interests

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About

Articles (11)

Towards Explainable Graph Embeddings for Gait Assessment Using Per-Cluster Dimensional Weighting

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

A Robust Deformable Linear Object Perception Pipeline in 3D: From Segmentation to Reconstruction

Measuring Changes in Upper Body Movement Due to Fasting Using a Camera

MISO: Monitoring Inactivity of Single Older Adults at Home Using RGB-D Technology

Using Deep Learning to Detect the Need for Forest Thinning: Application to the Lungau Region, Austria

A multi-modal garden dataset and hybrid 3D dense reconstruction framework based on panoramic stereo images for a trimming robot

Incremental Unsupervised Domain-Adversarial Training of Neural Networks

When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

Automatic Hierarchical Classification of Kelps Using Deep Residual Features

Collaborators (9)

Jorge Azorin-Lopez

FARID BOUSSAID

Ana Giraldo Ospina

Jorge Calvo-Zaragoza

Marcelo Saval-Calvo

Nahuel García D'Urso

Jihong Zhu

Andres Fuster-Guillo

Senjian An

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