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Matthew J. Clarkson

2 accepted papers

2022

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces

CVPR 2022oral

Learning a disentangled, interpretable, and structured latent representation in 3D generative models of faces and bodies is still an open problem. The problem is particularly acute when control over identity features is required. In this paper, we propose an intuitive yet effective self-supervised a…

Cited by 20PDFcodeScholar
2020

Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction

ICRA 2020poster

Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical steps presents numerous challenges because surgical demonstrations are characterized by high variability in style, duration…

Cited by 52SourceScholar