Johnson, Matthew

12 publications

JAIR 2023 The Complexity of Matching Games: A Survey Márton Benedek, Péter Biró, Matthew Johnson, Daniël Paulusma, Xin Ye

ECCV 2022 3D Face Reconstruction with Dense Landmarks Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljković, Tom Cashman, Julien Valentin

ECCVW 2022 Photo-Realistic 360${\circ }$ Head Avatars in the Wild Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson

ICCV 2021 FastNeRF: High-Fidelity Neural Rendering at 200FPS Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien Valentin

ECCV 2020 CONFIG: Controllable Neural Face Image Generation Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton

ECCV 2020 High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton

ICML 2019 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew Johnson, Sergey Levine

JMLR 2016 Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders Huseyin Melih Elibol, Vincent Nguyen, Scott Linderman, Matthew Johnson, Amna Hashmi, Finale Doshi-Velez

IJCAI 2016 The Malmo Platform for Artificial Intelligence Experimentation Matthew Johnson, Katja Hofmann, Tim Hutton, David Bignell

ICML 2016 The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM Ardavan Saeedi, Matthew Hoffman, Matthew Johnson, Ryan Adams

ICML 2014 Stochastic Variational Inference for Bayesian Time Series Models Matthew Johnson, Alan Willsky

CVPR 2008 Semantic Texton Forests for Image Categorization and Segmentation Jamie Shotton, Matthew Johnson, Roberto Cipolla