J. Shotton

发表

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation

Antonio Criminisi, Carsten Rother, Jamie Shotton, 2006, ECCV.

The Learning Workshop Snowbird

Nicolas Le Roux, N. Heess, J. Winn, 2010 .

Learning a Generative Model of Images by Factoring Appearance and Shape

Nicolas Le Roux, Nicolas Heess, Jamie Shotton, 2011, Neural Computation.

Learning 6D Object Pose Estimation Using 3D Object Coordinates

Eric Brachmann, Carsten Rother, Stefan Gumhold, 2014, ECCV.

Real-time human pose recognition in parts from single depth images

Andrew W. Fitzgibbon, Andrew Blake, Toby Sharp, 2011, CVPR 2011.

Efficient Human Pose Estimation from Single Depth Images

Andrew Blake, Toby Sharp, Antonio Criminisi, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects

Jamie Shotton, John M. Winn, J. Winn, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

KinectFusion: Real-time dense surface mapping and tracking

Andrew W. Fitzgibbon, David Kim, Otmar Hilliges, 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.

Semantic texton forests for image categorization and segmentation

Roberto Cipolla, Jamie Shotton, Matthew Johnson, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

ChaLearn Looking at People Challenge 2014: Dataset and Results

Sergio Escalera, Xavier Baró, Hugo Jair Escalante, 2014, ECCV Workshops.

Contour-based learning for object detection

Andrew Blake, Roberto Cipolla, Jamie Shotton, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning

J. Shotton, A. Criminisi, E. Konukoglu, 2011 .

Entanglement and Differentiable Information Gain Maximization

Dimitris N. Metaxas, J. E. Iglesias, J. Winn, 2013 .

Efficient regression of general-activity human poses from depth images

Andrew W. Fitzgibbon, Antonio Criminisi, Pushmeet Kohli, 2011, 2011 International Conference on Computer Vision.

Multiscale Categorical Object Recognition Using Contour Fragments

Andrew Blake, Roberto Cipolla, Jamie Shotton, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

Ling Shao, Jungong Han, Dong Xu, 2013, IEEE Transactions on Cybernetics.

Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

Andrew W. Fitzgibbon, Ben Glocker, Antonio Criminisi, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Depth-Based Hand Pose Estimation: Methods, Data, and Challenges

Yi Yang, Deva Ramanan, Grégory Rogez, 2015, International Journal of Computer Vision.

Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose

Tae-Kyun Kim, Pushmeet Kohli, Jonathan Taylor, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning

Antonio Criminisi, Ender Konukoglu, Jamie Shotton, 2012, Found. Trends Comput. Graph. Vis..

Real-time human pose recognition in parts from single depth images

Toby Sharp, Jamie Shotton, Andrew Fitzgibbon, 2011, CVPR.

Real-time human pose recognition in parts from single depth images

Andrew W. Fitzgibbon, Andrew Blake, Toby Sharp, 2011, CVPR 2011.

The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation

Andrew W. Fitzgibbon, Toby Sharp, Jonathan Taylor, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Decision Forests for Computer Vision and Medical Image Analysis

Antonio Criminisi, Jamie Shotton, J. Shotton, 2013, Advances in Computer Vision and Pattern Recognition.

Learning to Efficiently Detect Repeatable Interest Points in Depth Data

Stefan Holzer, Pushmeet Kohli, Jamie Shotton, 2012, ECCV.

Decision Jungles: Compact and Rich Models for Classification

Sebastian Nowozin, Toby Sharp, Antonio Criminisi, 2013, NIPS.

Semantic Photo Synthesis

Roberto Cipolla, Gabriel J. Brostow, Jamie Shotton, 2006, Comput. Graph. Forum.

Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images

Dimitris N. Metaxas, Antonio Criminisi, Albert Montillo, 2011, IPMI.

Efficient Dense-Stereo and Novel-view Synthesis for Gaze Manipulation in One-toone Teleconferencing

C. Rother, J. Shotton, A. Criminisi, 2003 .

Segmentation and Recognition Using Structure from Motion Point Clouds

Roberto Cipolla, Gabriel J. Brostow, Jamie Shotton, 2008, ECCV.

Regression Forests for Efficient Anatomy Detection and Localization in CT Studies

Antonio Criminisi, Ender Konukoglu, Jamie Shotton, 2010, MCV.

KinectFusion: real-time dynamic 3D surface reconstruction and interaction

Andrew W. Fitzgibbon, David Kim, Otmar Hilliges, 2011, SIGGRAPH '11.

Metric Regression Forests for Correspondence Estimation

Andrew W. Fitzgibbon, Aaron Hertzmann, Jonathan Taylor, 2015, International Journal of Computer Vision.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

Andrew W. Fitzgibbon, David Kim, Otmar Hilliges, 2011, UIST.

Neural ExpectationMaximization

Nicolas Le Roux, N. Heess, N. Laird, 2017 .

User-Specific Hand Modeling from Monocular Depth Sequences

Varun Ramakrishna, Andrew W. Fitzgibbon, Aaron Hertzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Exploiting uncertainty in regression forests for accurate camera relocalization

Andrew W. Fitzgibbon, Matthias Nießner, Philip H. S. Torr, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Bayesian Methods in Graphics

C. Rother, J. Shotton, A. Criminisi, 2003 .

Real-Time RGB-D Camera Relocalization Ben Glocker

J. Shotton, A. Criminisi, S. Izadi, 2013 .

Conditional regression forests for human pose estimation

Min Sun, Pushmeet Kohli, Jamie Shotton, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Dense-Stereo and Novel-view Synthesis for Gaze Manipulation in One-to-one Teleconferencing

Andrew Blake, Antonio Criminisi, Carsten Rother, 2003 .

Dextrous Assembler Robot Working with Embodied Intelligence SEVENTH FRAMEWORK PROGRAMME ICT Priority Deliverable D 3 . 5 : “ Integration of depth images

Zhang, Han, M. Hebert, 2014 .

CONFIG: Controllable Neural Face Image Generation

Stephan J. Garbin, J. Shotton, Matthew Johnson, 2020, ECCV.

Semantic Image Segmentation

Pushmeet Kohli, Jamie Shotton, Pushmeet Kohli, 2014, Computer Vision, A Reference Guide.

Semantic Image Segmentation: Traditional Approach

Pushmeet Kohli, Jamie Shotton, Pushmeet Kohli, 2020, Computer Vision.

Model-Based Imitation Learning for Urban Driving

J. Shotton, R. Cipolla, Alex Kendall, 2022, NeurIPS.

Depth-Based Hand Pose Estimation: Methods, Data, and Challenges

D. Ramanan, J. Shotton, Yi Yang, 2018, International Journal of Computer Vision.

Efficient Human Pose Estimation from Single Depth Images

Ross B. Girshick, Pushmeet Kohli, A. Fitzgibbon, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

Training Convolutional Neural Networks with Low-rank Filters for Efficient Image Classification

Roberto Cipolla, Antonio Criminisi, Jamie Shotton, 2016 .

TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context

Antonio Criminisi, Carsten Rother, Jamie Shotton, 2007, International Journal of Computer Vision.

Guest Editorial: Human Activity Understanding from 2D and 3D Data

David J. Fleet, Wanqing Li, Junsong Yuan, 2016, International Journal of Computer Vision.

Training CNNs with Low-Rank Filters for Efficient Image Classification pdf

Roberto Cipolla, Antonio Criminisi, Jamie Shotton, 2015, ICLR.

Fake it till you make it: face analysis in the wild using synthetic data alone pdf

Thomas J. Cashman, Jamie Shotton, Matthew Johnson, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

A high fidelity synthetic face framework for computer vision pdf

Thomas J. Cashman, Marek Kowalski, Matthew Johnson, 2020, ArXiv.

Contour and Texture for Visual Recognition of Object Categories: Automatic Object Recognition Using Learned Patterns of Contour and Texture

Jamie Shotton, J. Shotton, 2007 .

FastNeRF: High-Fidelity Neural Rendering at 200FPS

Stephan J. Garbin, Julien P. C. Valentin, J. Shotton, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations

J. Shotton, Andrea Dittadi, D. Cosker, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations

Andrew W. Fitzgibbon, Sebastian Nowozin, Daniel Cremers, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Automatic Stylistic Composition of Bach Chorales with Deep LSTM

Jamie Shotton, Matthew Johnson, Mark Gotham, 2017, ISMIR.

Learning Class-Specific Segmentation

Jamie Shotton, J. Shotton, 2004 .

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR

Ben Glocker, Antonio Criminisi, Ender Konukoglu, 2012, MICCAI.

Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation

Shanxin Yuan, Tae-Kyun Kim, Pushmeet Kohli, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI

Ben Glocker, Olivier Clatz, Ezequiel Geremia, 2013 .

Learning to be a depth camera for close-range human capture and interaction

David Sweeney, David Kim, Antonio Criminisi, 2014, ACM Trans. Graph..

DSAC — Differentiable RANSAC for Camera Localization

Eric Brachmann, Sebastian Nowozin, Carsten Rother, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Accurate, Robust, and Flexible Real-time Hand Tracking

Andrew W. Fitzgibbon, David Kim, Yichen Wei, 2015, CHI.

SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips

Philip H. S. Torr, Julien P. C. Valentin, Pushmeet Kohli, 2015, ACM Trans. Graph..

Real-time RGB-D camera relocalization

Ben Glocker, Antonio Criminisi, Shahram Izadi, 2013, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding

Ben Glocker, Antonio Criminisi, Shahram Izadi, 2015, IEEE Transactions on Visualization and Computer Graphics.

Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues

Dong Hye Ye, Antonio Criminisi, Ender Konukoglu, 2012 .

Multi-output Learning for Camera Relocalization

Andrew W. Fitzgibbon, Toby Sharp, Pushmeet Kohli, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Joint Texture and Geometry Optimization for RGB-D Reconstruction

Daniel Cremers, Pushmeet Kohli, Chunxia Xiao, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences

Andrew W. Fitzgibbon, David Sweeney, Toby Sharp, 2016, ACM Trans. Graph..

Regression forests for efficient anatomy detection and localization in computed tomography scans

Antonio Criminisi, Ender Konukoglu, Jamie Shotton, 2013, Medical Image Anal..

Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces

Masashi Nishiyama, Abdenour Hadid, Jamie Shotton, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Facial deblur inference to improve recognition of blurred faces

Masashi Nishiyama, Jamie Shotton, Osamu Yamaguchi, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Decision Forests, Convolutional Networks and the Models in-Between pdf

Peter Kontschieder, Antonio Criminisi, Jamie Shotton, 2016, ArXiv.

Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound

Antonio Criminisi, Cecily Morrison, Jamie Shotton, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Learning 6 D Object Pose Estimation using 3 D Object Coordinates-Supplementary Material -

Eric Brachmann, Carsten Rother, Stefan Gumhold, 2014 .

Key Developments in Human Pose Estimation for Kinect

Pushmeet Kohli, Jamie Shotton, Pushmeet Kohli, 2013, Consumer Depth Cameras for Computer Vision.

Fits Like a Glove: Rapid and Reliable Hand Shape Personalization

Andrew W. Fitzgibbon, Shahram Izadi, Jonathan Taylor, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning an efficient model of hand shape variation from depth images

Andrew W. Fitzgibbon, Shahram Izadi, Jonathan Taylor, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization

Toby Sharp, Thomas J. Cashman, Federica Bogo, 2020, ECCV.

Learning-driven Coarse-to-Fine Articulated Robot Tracking

Vladimir Ivan, Timothy Hospedales, Timothy M. Hospedales, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Overview and Scope

A. Criminisi, J. Shotton, J. Shotton, 2013 .

FastNeRF: High-Fidelity Neural Rendering at 200FPS-Supplementary Material

Stephan J. Garbin, Julien P. C. Valentin, J. Shotton, 2021 .

SemanticPaint

Matthias Nießner, David Kim, Antonio Criminisi, 2015, ACM Trans. Graph..

Visual Articulated Tracking in the Presence of Occlusions

Timothy M. Hospedales, Jamie Shotton, Christian Rauch, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Depth-Based Hand Pose Estimation: Data, Methods, and Challenges

Yi Yang, Deva Ramanan, Grégory Rogez, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Discriminative, Semantic Segmentation of Brain Tissue in MR Images

Andrew Blake, Antonio Criminisi, Zhao Yi, 2009, MICCAI.

Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

J. Shotton, Ling Shao, J. Han, 2013, IEEE Trans. Cybern..

Anatomy Detection and Localization in 3D Medical Images

Antonio Criminisi, Ender Konukoglu, Nassir Navab, 2013 .

Linking vision and motion for self-supervised object-centric perception

Christopher P. Burgess, Kaylene C. Stocking, C. Tomlin, 2023, ArXiv.

Semantic Photo Synthesis

Roberto Cipolla, Gabriel J. Brostow, Jamie Shotton, 2006, Electronic Imaging.

ShadowHands: High-Fidelity Remote Hand Gesture Visualization using a Hand Tracker

Andrew W. Fitzgibbon, Jonathan Taylor, Jamie Shotton, 2016, ISS.

RetroDepth: 3D silhouette sensing for high-precision input on and above physical surfaces

Matthias Nießner, David Kim, Shahram Izadi, 2014, CHI.

SemanticPaint

Philip H. S. Torr, Julien P. C. Valentin, Pushmeet Kohli, 2015, ACM Transactions on Graphics.

GeoF: Geodesic Forests for Learning Coupled Predictors

Peter Kontschieder, Antonio Criminisi, Pushmeet Kohli, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Gaze manipulation for one-to-one teleconferencing

Andrew Blake, Antonio Criminisi, Philip H. S. Torr, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences

Julien P. C. Valentin, Pushmeet Kohli, A. Fitzgibbon, 2016, ACM Trans. Graph..

Synthetic training in object detection

Pushmeet Kohli, Yasmine Badr, Jamie Shotton, 2013, 2013 IEEE International Conference on Image Processing.

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation

C. Rother, J. Winn, J. Shotton, 2006, ECCV.

Efficiently Combining Contour and Texture Cues for Object Recognition

Andrew Blake, Roberto Cipolla, Jamie Shotton, 2008, BMVC.

Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning

J. Shotton, A. Criminisi, E. Konukoglu, 2012, Found. Trends Comput. Graph. Vis..

FastNeRF: High-Fidelity Neural Rendering at 200FPS pdf

Marek Kowalski, Jamie Shotton, Matthew Johnson, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Metric Regression Forests for Correspondence Estimation

Aaron Hertzmann, A. Fitzgibbon, J. Shotton, 2015, International Journal of Computer Vision.

Metric Regression Forests for Human Pose Estimation

Andrew W. Fitzgibbon, Aaron Hertzmann, Gerard Pons-Moll, 2013, BMVC.

Training CNNs with Low-Rank Filters for Efficient Image Classification

Yani Ioannou, J. Shotton, A. Criminisi, 2015, International Conference on Learning Representations.

High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images

Stephan J. Garbin, Marek Kowalski, Matthew Johnson, 2020, ECCV.

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR

J. Shotton, A. Criminisi, Ben Glocker, 2012, MICCAI.