
Professor Walterio Mayol-Cuevas
DPhil
Current positions
Professor in Robotics, Computer Vision and Mobile Systems
School of Computer Science
Contact
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Research interests
My research interests are usually around three related areas: robotics, wearable computing and computer vision. Robots and Wearables face very similar challenges, they usually have to work in real-time under reduced computational, energy and sensing resources, and therefore, similar techniques for reasoning and sensing can be applied in both. On the other side, Computer Vision studies how to understand and represent the world using visual sensors, and for a number of reasons, cameras are very interesting sensors: they are commonplace, cheap and small, while being able to recover a plethora of information, e.g. 3D structure, object ID, self and object motion and serve as input devices for human-computer (or robot) interaction.
Expertise
Computer vision: Real-time tracking, Object recognition, Active Vision. Robotics: Personal Robotics, Mobile Robotics, Walking machines, Robot Vision. Wearable Computing.
Keywords
- robotics
- wearable computing
- computer vision
Projects and supervisions
Research projects
On-Sensor Computer Vision
Principal Investigator
Managing organisational unit
School of Computer ScienceDates
01/09/2024 to 31/08/2028
GLANCE - EPSRC Call for Outlines - User Interaction with ICT
Principal Investigator
Managing organisational unit
Department of Computer ScienceDates
04/04/2016 to 02/02/2022
GLANCE: GLAnceable Nuances for Contextual Events
Principal Investigator
Description
This project will develop and validate exciting novel ways in which people can interact with the world via cognitive wearables -intelligent on-body computing systems that aim to understand the user,…Managing organisational unit
Department of Computer ScienceDates
01/04/2016 to 01/04/2020
Vision Sensors for Agile Autonomous Exploration
Principal Investigator
Managing organisational unit
Department of Computer ScienceDates
01/08/2015 to 31/01/2021
Jose Martinez Carranza Newton Fellowship
Principal Investigator
Managing organisational unit
Department of Computer ScienceDates
01/03/2015 to 28/02/2017
Thesis supervisions
Deep In-Situ Learning for Object Recognition
Supervisors
On-Sensor Visual Inference with A Pixel Processor Array
Supervisors
The role of time in video understanding
Supervisors
A geometric approach for fast affordance determination in 3D
Supervisors
Towards more efficient CNN models with filter distribution templates
Supervisors
Temporal Labelling for Action Recognition in Videos
Supervisors
Interacting with a Handheld Robot
Supervisors
On the determination of human affordances
Supervisors
Learning to read maps
Supervisors
Egocentric Perception of Hands and Its Applications
Supervisors
Publications
Recent publications
27/09/2024The Myth of the Pyramid
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Message from the ISMAR 2024 General Chairs
Proceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024
One-Shot Learning for Human Affordance Detection
Computer Vision – ECCV 2022 Workshops, Proceedings
AROS
Frontiers in Robotics and AI
Environment modeling and localization from datasets of omnidirectional scenes using machine learning techniques
Neural Computing and Applications