Cashman, Thomas J.

8 publications

ICCV 2025 DAViD: Data-Efficient and Accurate Vision Models from Synthetic Data Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt, Lohit Petikam, Xian Xiao, Antonio Criminisi, Thomas J. Cashman, Tadas Baltrusaitis

ICCV 2025 VoluMe - Authentic 3D Video Calls from Live Gaussian Splat Prediction Martin de La Gorce, Charlie Hewitt, Tibor Takács, Robert Gerdisch, Zafiirah Hosenie, Givi Meishvili, Marek Kowalski, Thomas J. Cashman, Antonio Criminisi

CVPR 2022 FLAG: Flow-Based 3D Avatar Generation from Sparse Observations Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew Fitzgibbon, Thomas J. Cashman

ICCV 2021 Fake It till You Make It: Face Analysis in the Wild Using Synthetic Data Alone Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Sebastian Dziadzio, Thomas J. Cashman, Jamie Shotton

ICCV 2021 Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Thomas J. Cashman, Jamie Shotton

ECCV 2020 The Phong Surface: Efficient 3D Model Fitting Using Lifted Optimization Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew Fitzgibbon, Jamie Shotton

WACV 2018 QRkit: Sparse, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision Jan Svoboda, Thomas J. Cashman, Andrew W. Fitzgibbon

CVPR 2017 An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models Mariano Jaimez, Thomas J. Cashman, Andrew Fitzgibbon, Javier Gonzalez-Jimenez, Daniel Cremers