Shotton, Jamie

39 publications

ICLRW 2024 LangProp: A Code Optimization Framework Using Large Language Models Applied to Driving Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, Joao F. Henriques, Anthony Hu
ECCV 2024 LingoQA: Video Question Answering for Autonomous Driving Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoit Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Elahe Arani, Oleg Sinavski
NeurIPS 2022 Model-Based Imitation Learning for Urban Driving Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton
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 FastNeRF: High-Fidelity Neural Rendering at 200FPS Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien Valentin
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 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
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
CVPR 2017 DSAC - Differentiable RANSAC for Camera Localization Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
CVPR 2017 PoseAgent: Budget-Constrained 6d Object Pose Estimation via Reinforcement Learning Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
CVPR 2016 Fits like a Glove: Rapid and Reliable Hand Shape Personalization David Joseph Tan, Thomas Cashman, Jonathan Taylor, Andrew Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton
ICLR 2016 Training CNNs with Low-Rank Filters for Efficient Image Classification Yani Ioannou, Duncan P. Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi
ICCV 2015 Depth-Based Hand Pose Estimation: Data, Methods, and Challenges James S. Supancic Iii, Gregory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan
CVPR 2015 Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization Julien Valentin, Matthias Niessner, Jamie Shotton, Andrew Fitzgibbon, Shahram Izadi, Philip H. S. Torr
ICCVW 2015 Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton
CVPR 2015 Learning an Efficient Model of Hand Shape Variation from Depth Images Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew Fitzgibbon
ICCV 2015 Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations Jan Stuhmer, Sebastian Nowozin, Andrew Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton
ICCV 2015 Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton
ECCVW 2014 ChaLearn Looking at People Challenge 2014: Dataset and Results Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon
CVPR 2014 Filter Forests for Learning Data-Dependent Convolutional Kernels Sean Ryan Fanello, Cem Keskin, Pushmeet Kohli, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Ugo Pattacini, Tim Paek
ECCV 2014 Learning 6d Object Pose Estimation Using 3D Object Coordinates Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother
CVPR 2014 Multi-Output Learning for Camera Relocalization Abner Guzman-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew Fitzgibbon, Shahram Izadi
CVPR 2014 User-Specific Hand Modeling from Monocular Depth Sequences Jonathan Taylor, Richard Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, Andrew Fitzgibbon
NeurIPS 2013 Decision Jungles: Compact and Rich Models for Classification Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn, Antonio Criminisi
CVPR 2013 GeoF: Geodesic Forests for Learning Coupled Predictors Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi
CVPR 2013 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew Fitzgibbon
CVPR 2012 Conditional Regression Forests for Human Pose Estimation Min Sun, Pushmeet Kohli, Jamie Shotton
ECCV 2012 Learning to Efficiently Detect Repeatable Interest Points in Depth Data Stefan Holzer, Jamie Shotton, Pushmeet Kohli
CVPR 2012 The Vitruvian Manifold: Inferring Dense Correspondences for One-Shot Human Pose Estimation Jonathan Taylor, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon
ICCV 2011 Efficient Regression of General-Activity Human Poses from Depth Images Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon
CVPR 2011 Real-Time Human Pose Recognition in Parts from Single Depth Images Jamie Shotton, Andrew W. Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake
CVPR 2009 Facial Deblur Inference to Improve Recognition of Blurred fFaces Masashi Nishiyama, Hidenori Takeshima, Jamie Shotton, Tatsuo Kozakaya, Osamu Yamaguchi
ECCV 2008 Segmentation and Recognition Using Structure from Motion Point Clouds Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla
CVPR 2008 Semantic Texton Forests for Image Categorization and Segmentation Jamie Shotton, Matthew Johnson, Roberto Cipolla
ECCV 2006 TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi
CVPR 2006 The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects John M. Winn, Jamie Shotton
ICCV 2005 Contour-Based Learning for Object Detection Jamie Shotton, Andrew Blake, Roberto Cipolla
ICCV 2003 Gaze Manipulation for One-to-One Teleconferencing Antonio Criminisi, Jamie Shotton, Andrew Blake, Philip H. S. Torr