Hello everyone!
I recently defended my Ph.D. and am seeking a research scientist or engineer position that merges my passions for computer graphics, computer vision, and AI. With a background in software development for the entertainment industry, I am enthusiastic about integrating computer graphics and vision to create impactful solutions.
I received a Ph.D. in Vision, Speech and Signal Processing from the University of Surrey, where I also completed my M.Sc. in Computer Vision, Robotics and Machine Learning. I additionally, completed my B.Sc. in Software Development for Animation, Games and Effects.
In my post-graduate studies, I focused on researching how to estimate the pose of dogs from monocular views using synthetic data generated using game engines like Unity3D. I was fortunate to be supervised by Prof. Adrian Hilton and Dr. Charles Malleson.
My research interests include 3D reconstruction, computer vision, computer graphics, deep learning, visual effects, and real-time technology.
If I am not researching, you will most likely find me training for a triathlon or hiking 🏕🚲.
Publications
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Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data
Workshop paper at the Computer Vision for Animal Behavior Tracking and Modeling Workshop. In conjuction with CVPR2024. (CVMP2023)
[Dataset] -
DigiDogs: Single-View 3D Pose Estimation of Dogs using Synthetic Training Data
Workshop paper at the Computer Vision with Small Data: A Focus on Infants and Endangered Animals workshop (CV4Smalls). In conjuction with WACV2024.
🏆 Won the award for best paper. [Paper] [Code] -
MV-Sydog: A Multi-View 3D Dog Pose Dataset for Advancing 3D Pose Estimation
Short paper at the 20th ACM SIGGRAPH European Conference on Visual Media Production (CVMP2023)
[Dataset] -
SyDog-Video: A Synthetic Dog Video Dataset for Temporal Pose Estimation
Poster presented at the Computer Vision for Animal Behavior Tracking and Modeling workshop (CV4Animals). In conjuction with CVPR2022.
The paper has been submitted to the International Journal of Computer Vision (IJCV) and has been accepted.
[Paper] [Dataset] -
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation
Poster presented at the Computer Vision for Animal Behavior Tracking and Modeling workshop (CV4Animals). In conjuction with CVPR2021.
[Paper] [Supp] [Project Page and Dataset]
Education
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Ph.D. in Vision, Speech and Signal Processing
Thesis Title: Unveiling the Potential of Synthetic Data for Animal Pose Estimation
University of Surrey (UK)2020 - 2024 -
M.Sc. in Computer Vision, Robotics and Machine Learning
Distinction
University of Surrey (UK)2019 - 2020 -
B.Sc. (Hons) in Software Development for Animation, Games and Effects
Second Class Honors (Upper Division)
Bournemouth University (UK)2016 - 2019
Teaching & Service
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Teaching Assistant for AR, VR AND THE METAVERSE (EEEM067)
2 hours every other week I guide students do practical laboratory classes in developing mixed reality applications using the Meta Quest and Unity3D.
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Teaching assistant for COMPUTER VISION & GRAPHICS (EEE2041)
2 hours per week I support students do practical laboratory classes in OpenGL graphics programming using shaders. I have been a demonstrator/teaching assistant for this class every year since 2021 until now.
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Web and Social Media Chair
International Conference on 3D Vision, 2021 (online)
The 20th ACM SIGGRAPH European Conference on Visual Media Production,2023 -
Paper Reviewer
The 20th ACM SIGGRAPH European Conference on Visual Media Production, 2023
Computer Vision with Small Data: A Focus on Infants and Endangered Animals, 2024
Multimedia Tools and Applications, 2024
CV4Animals IJCV Special Issue, 2024