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ORCIDJamie Shotton
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- affiliation: Microsoft Research, Cambridge, UK
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2020 – today
- 2024
[c59]Long Chen, Oleg Sinavski, Jan Hünermann, Alice Karnsund, Andrew James Willmott, Danny Birch, Daniel Maund, Jamie Shotton:
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving. ICRA 2024: 14093-14100- [i18]Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, João F. Henriques, Anthony Hu:
LangProp: A code optimization framework using Language Models applied to driving. CoRR abs/2401.10314 (2024) - [i17]Katrin Renz, Long Chen, Ana-Maria Marcu, Jan Hünermann, Benoît Hanotte, Alice Karnsund, Jamie Shotton, Elahe Arani, Oleg Sinavski:
CarLLaVA: Vision language models for camera-only closed-loop driving. CoRR abs/2406.10165 (2024) - [i16]Jannik Zürn, Paul Gladkov, Sofía Dudas, Fergal Cotter, Sofi Toteva, Jamie Shotton, Vasiliki Simaiaki, Nikhil Mohan:
WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving. CoRR abs/2407.08280 (2024) - 2023
- [i15]Kaylene C. Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire J. Tomlin, Christopher P. Burgess:
Linking vision and motion for self-supervised object-centric perception. CoRR abs/2307.07147 (2023) - [i14]Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, Gianluca Corrado:
GAIA-1: A Generative World Model for Autonomous Driving. CoRR abs/2309.17080 (2023) - [i13]Long Chen, Oleg Sinavski, Jan Hünermann, Alice Karnsund, Andrew James Willmott, Danny Birch, Daniel Maund, Jamie Shotton:
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving. CoRR abs/2310.01957 (2023) - [i12]Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoît Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Oleg Sinavski:
LingoQA: Video Question Answering for Autonomous Driving. CoRR abs/2312.14115 (2023) - 2022
- [c58]Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton:
Model-Based Imitation Learning for Urban Driving. NeurIPS 2022 - [i11]Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zak Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton:
Model-Based Imitation Learning for Urban Driving. CoRR abs/2210.07729 (2022) - 2021
- [c57]Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Thomas J. Cashman, Jamie Shotton:
Fake it till you make it: face analysis in the wild using synthetic data alone. ICCV 2021: 3661-3671 - [c56]Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Thomas J. Cashman, Jamie Shotton:
Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations. ICCV 2021: 11667-11677 - [c55]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien P. C. Valentin:
FastNeRF: High-Fidelity Neural Rendering at 200FPS. ICCV 2021: 14326-14335 - [i10]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien P. C. Valentin:
FastNeRF: High-Fidelity Neural Rendering at 200FPS. CoRR abs/2103.10380 (2021) - [i9]Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas J. Cashman, Jamie Shotton:
Fake It Till You Make It: Face analysis in the wild using synthetic data alone. CoRR abs/2109.15102 (2021) - 2020
- [c54]Stephan J. Garbin, Marek Kowalski, Matthew Johnson
, Jamie Shotton:
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images. ECCV (28) 2020: 220-236 - [c53]Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson, Jamie Shotton:
CONFIG: Controllable Neural Face Image Generation. ECCV (11) 2020: 299-315 - [c52]Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew W. Fitzgibbon, Jamie Shotton:
The Phong Surface: Efficient 3D Model Fitting Using Lifted Optimization. ECCV (1) 2020: 687-703 - [i8]Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson, Jamie Shotton:
CONFIG: Controllable Neural Face Image Generation. CoRR abs/2005.02671 (2020) - [i7]Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton:
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images. CoRR abs/2006.15031 (2020) - [i6]Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew William Fitzgibbon, Jamie Shotton:
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization. CoRR abs/2007.04940 (2020) - [i5]Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton:
A high fidelity synthetic face framework for computer vision. CoRR abs/2007.08364 (2020)
2010 – 2019
- 2019
- [j22]Danhang Tang, Qi Ye, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2161-2175 (2019) - [c51]Christian Rauch, Vladimir Ivan, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon:
Learning-driven Coarse-to-Fine Articulated Robot Tracking. ICRA 2019: 6604-6610 - 2018
- [j21]James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan:
Depth-Based Hand Pose Estimation: Methods, Data, and Challenges. Int. J. Comput. Vis. 126(11): 1180-1198 (2018) - [c50]Christian Rauch, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon:
Visual Articulated Tracking in the Presence of Occlusions. ICRA 2018: 643-650 - 2017
- [c49]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CVPR 2017: 2492-2500 - [c48]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR 2017: 2566-2574 - [c47]Feynman T. Liang, Mark Gotham, Matthew Johnson, Jamie Shotton:
Automatic Stylistic Composition of Bach Chorales with Deep LSTM. ISMIR 2017: 449-456 - 2016
- [j20]Junsong Yuan, Wanqing Li, Zhengyou Zhang, David J. Fleet, Jamie Shotton:
Guest Editorial: Human Activity Understanding from 2D and 3D Data. Int. J. Comput. Vis. 118(2): 113-114 (2016) - [j19]Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Jamie Shotton:
Guest Editors' Introduction to the Special Issue on Multimodal Human Pose Recovery and Behavior Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1489-1491 (2016) - [j18]Jonathan Taylor, Lucas Bordeaux, Thomas J. Cashman, Bob Corish, Cem Keskin, Toby Sharp, Eduardo Soto, David Sweeney, Julien P. C. Valentin, Benjamin Luff, Arran Topalian, Erroll Wood, Sameh Khamis, Pushmeet Kohli, Shahram Izadi, Richard Banks, Andrew W. Fitzgibbon, Jamie Shotton:
Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences. ACM Trans. Graph. 35(4): 143:1-143:12 (2016) - [c46]David Joseph Tan, Thomas J. Cashman, Jonathan Taylor, Andrew W. Fitzgibbon, Daniel Tarlow, Sameh Khamis, Shahram Izadi, Jamie Shotton:
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization. CVPR 2016: 5610-5619 - [c45]Erroll Wood, Jonathan Taylor, John Fogarty, Andrew W. Fitzgibbon, Jamie Shotton:
ShadowHands: High-Fidelity Remote Hand Gesture Visualization using a Hand Tracker. ISS 2016: 77-84 - [c44]Yani Ioannou, Duncan P. Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi:
Training CNNs with Low-Rank Filters for Efficient Image Classification. ICLR (Poster) 2016 - [i4]Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi:
Decision Forests, Convolutional Networks and the Models in-Between. CoRR abs/1603.01250 (2016) - [i3]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CoRR abs/1611.05705 (2016) - [i2]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CoRR abs/1612.03779 (2016) - 2015
- [j17]Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew W. Fitzgibbon:
Metric Regression Forests for Correspondence Estimation. Int. J. Comput. Vis. 113(3): 163-175 (2015) - [j16]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [j15]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. 34(5): 154:1-154:17 (2015) - [j14]Ben Glocker, Jamie Shotton, Antonio Criminisi, Shahram Izadi:
Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding. IEEE Trans. Vis. Comput. Graph. 21(5): 571-583 (2015) - [c43]Toby Sharp, Cem Keskin, Duncan P. Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew W. Fitzgibbon, Shahram Izadi:
Accurate, Robust, and Flexible Real-time Hand Tracking. CHI 2015: 3633-3642 - [c42]Sameh Khamis, Jonathan Taylor, Jamie Shotton, Cem Keskin, Shahram Izadi, Andrew W. Fitzgibbon:
Learning an efficient model of hand shape variation from depth images. CVPR 2015: 2540-2548 - [c41]Julien P. C. Valentin, Matthias Nießner, Jamie Shotton, Andrew W. Fitzgibbon, Shahram Izadi, Philip H. S. Torr:
Exploiting uncertainty in regression forests for accurate camera relocalization. CVPR 2015: 4400-4408 - [c40]Shuai Zheng, Victor Adrian Prisacariu, Melinos Averkiou, Ming-Ming Cheng, Niloy J. Mitra, Jamie Shotton, Philip H. S. Torr, Carsten Rother:
Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds. GCPR 2015: 196-208 - [c39]James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan:
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges. ICCV 2015: 1868-1876 - [c38]Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose. ICCV 2015: 3325-3333 - [c37]Jan Stühmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton:
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. ICCV 2015: 3577-3585 - [c36]Simon Blessenohl, Cecily Morrison, Antonio Criminisi, Jamie Shotton:
Improving Indoor Mobility of the Visually Impaired with Depth-Based Spatial Sound. ICCV Workshops 2015: 418-426 - [c35]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks 2015: 75:1 - [i1]James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan:
Depth-based hand pose estimation: methods, data, and challenges. CoRR abs/1504.06378 (2015) - 2014
- [j13]Sean Ryan Fanello, Cem Keskin, Shahram Izadi, Pushmeet Kohli, David Kim, David Sweeney, Antonio Criminisi, Jamie Shotton, Sing Bing Kang, Tim Paek:
Learning to be a depth camera for close-range human capture and interaction. ACM Trans. Graph. 33(4): 86:1-86:11 (2014) - [c34]David Kim, Shahram Izadi, Jakub Dostal, Christoph Rhemann, Cem Keskin, Christopher Zach, Jamie Shotton, Timothy A. Large, Steven Bathiche, Matthias Nießner, D. Alex Butler, Sean Ryan Fanello, Vivek Pradeep:
RetroDepth: 3D silhouette sensing for high-precision input on and above physical surfaces. CHI 2014: 1377-1386 - [c33]Jonathan Taylor, Richard V. Stebbing, Varun Ramakrishna, Cem Keskin, Jamie Shotton, Shahram Izadi, Aaron Hertzmann, Andrew W. Fitzgibbon:
User-Specific Hand Modeling from Monocular Depth Sequences. CVPR 2014: 644-651 - [c32]Abner Guzmán-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon, Shahram Izadi:
Multi-output Learning for Camera Relocalization. CVPR 2014: 1114-1121 - [c31]Sean Ryan Fanello, Cem Keskin, Pushmeet Kohli, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Ugo Pattacini, Tim Paek:
Filter Forests for Learning Data-Dependent Convolutional Kernels. CVPR 2014: 1709-1716 - [c30]Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon:
ChaLearn Looking at People Challenge 2014: Dataset and Results. ECCV Workshops (1) 2014: 459-473 - [c29]Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother:
Learning 6D Object Pose Estimation Using 3D Object Coordinates. ECCV (2) 2014: 536-551 - [r1]Jamie Shotton, Pushmeet Kohli:
Semantic Image Segmentation. Computer Vision, A Reference Guide 2014: 713-716 - 2013
- [j12]Jamie Shotton, Toby Sharp, Alex Kipman, Andrew W. Fitzgibbon, Mark Finocchio, Andrew Blake, Mat Cook, Richard Moore:
Real-time human pose recognition in parts from single depth images. Commun. ACM 56(1): 116-124 (2013) - [j11]Antonio Criminisi, Duncan P. Robertson, Ender Konukoglu, Jamie Shotton, Sayan D. Pathak, Steve White, Khan M. Siddiqui:
Regression forests for efficient anatomy detection and localization in computed tomography scans. Medical Image Anal. 17(8): 1293-1303 (2013) - [j10]Jamie Shotton, Ross B. Girshick, Andrew W. Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, Andrew Blake:
Efficient Human Pose Estimation from Single Depth Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2821-2840 (2013) - [j9]Ling Shao, Jungong Han, Dong Xu, Jamie Shotton:
Computer vision for RGB-D sensors: Kinect and its applications [special issue intro.]. IEEE Trans. Cybern. 43(5): 1314-1317 (2013) - [j8]Jungong Han, Ling Shao, Dong Xu, Jamie Shotton:
Enhanced Computer Vision With Microsoft Kinect Sensor: A Review. IEEE Trans. Cybern. 43(5): 1318-1334 (2013) - [c28]Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew W. Fitzgibbon:
Metric Regression Forests for Human Pose Estimation. BMVC 2013 - [c27]Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi:
GeoF: Geodesic Forests for Learning Coupled Predictors. CVPR 2013: 65-72 - [c26]Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew W. Fitzgibbon:
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images. CVPR 2013: 2930-2937 - [c25]Richard Neil Pittman, Alessandro Forin, Antonio Criminisi, Jamie Shotton, Atabak Mahram:
Image Segmentation Using Hardware Forest Classifiers. FCCM 2013: 73-80 - [c24]Osama Khalil, Mohammed E. Fathy, Dina Khalil El Kholy, Motaz Ahmad El-Saban, Pushmeet Kohli, Jamie Shotton, Yasmine Badr:
Synthetic training in object detection. ICIP 2013: 3113-3117 - [c23]Ben Glocker, Shahram Izadi, Jamie Shotton, Antonio Criminisi:
Real-time RGB-D camera relocalization. ISMAR 2013: 173-179 - [c22]Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John M. Winn, Antonio Criminisi:
Decision Jungles: Compact and Rich Models for Classification. NIPS 2013: 234-242 - [p3]Pushmeet Kohli, Jamie Shotton:
Key Developments in Human Pose Estimation for Kinect. Consumer Depth Cameras for Computer Vision 2013: 63-70 - [p2]Jamie Shotton, Andrew W. Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake:
Real-Time Human Pose Recognition in Parts from Single Depth Images. Machine Learning for Computer Vision 2013: 119-135 - 2012
- [j7]Antonio Criminisi, Jamie Shotton, Ender Konukoglu:
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning. Found. Trends Comput. Graph. Vis. 7(2-3): 81-227 (2012) - [c21]Jonathan Taylor, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon:
The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation. CVPR 2012: 103-110 - [c20]Min Sun, Pushmeet Kohli, Jamie Shotton:
Conditional regression forests for human pose estimation. CVPR 2012: 3394-3401 - [c19]Stefan Holzer, Jamie Shotton, Pushmeet Kohli:
Learning to Efficiently Detect Repeatable Interest Points in Depth Data. ECCV (1) 2012: 200-213 - [c18]Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price:
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) 2012: 369-376 - 2011
- [j6]Nicolas Le Roux, Nicolas Heess, Jamie Shotton, John M. Winn:
Learning a Generative Model of Images by Factoring Appearance and Shape. Neural Comput. 23(3): 593-650 (2011) - [j5]Masashi Nishiyama, Abdenour Hadid, Hidenori Takeshima, Jamie Shotton, Tatsuo Kozakaya, Osamu Yamaguchi:
Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces. IEEE Trans. Pattern Anal. Mach. Intell. 33(4): 838-845 (2011) - [c17]Jamie Shotton, Andrew W. Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, Andrew Blake:
Real-time human pose recognition in parts from single depth images. CVPR 2011: 1297-1304 - [c16]Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon:
Efficient regression of general-activity human poses from depth images. ICCV 2011: 415-422 - [c15]Albert Montillo, Jamie Shotton, John M. Winn, Juan Eugenio Iglesias, Dimitris N. Metaxas, Antonio Criminisi:
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. IPMI 2011: 184-196 - [c14]Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Andrew W. Fitzgibbon:
KinectFusion: Real-time dense surface mapping and tracking. ISMAR 2011: 127-136 - [c13]Shahram Izadi, Richard A. Newcombe, David Kim, Otmar Hilliges, David Molyneaux, Steve Hodges, Pushmeet Kohli, Jamie Shotton, Andrew J. Davison, Andrew W. Fitzgibbon:
KinectFusion: real-time dynamic 3D surface reconstruction and interaction. SIGGRAPH Talks 2011: 23 - [c12]Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard A. Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew J. Davison, Andrew W. Fitzgibbon:
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. UIST 2011: 559-568 - 2010
- [c11]Antonio Criminisi, Jamie Shotton, Duncan P. Robertson, Ender Konukoglu:
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. MCV 2010: 106-117 - [p1]Matthew Johnson, Jamie Shotton:
Semantic Texton Forests. Computer Vision: Detection, Recognition and Reconstruction 2010: 173-203
2000 – 2009
- 2009
- [j4]Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi:
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context. Int. J. Comput. Vis. 81(1): 2-23 (2009) - [c10]Masashi Nishiyama, Hidenori Takeshima, Jamie Shotton, Tatsuo Kozakaya, Osamu Yamaguchi:
Facial deblur inference to improve recognition of blurred fFaces. CVPR 2009: 1115-1122 - [c9]Zhao Yi, Antonio Criminisi, Jamie Shotton, Andrew Blake:
Discriminative, Semantic Segmentation of Brain Tissue in MR Images. MICCAI (1) 2009: 558-565 - 2008
- [j3]Jamie Shotton, Andrew Blake, Roberto Cipolla:
Multiscale Categorical Object Recognition Using Contour Fragments. IEEE Trans. Pattern Anal. Mach. Intell. 30(7): 1270-1281 (2008) - [c8]Jamie Shotton, Andrew Blake, Roberto Cipolla:
Efficiently Combining Contour and Texture Cues for Object Recognition. BMVC 2008: 1-10 - [c7]Jamie Shotton, Matthew Johnson, Roberto Cipolla:
Semantic texton forests for image categorization and segmentation. CVPR 2008 - [c6]Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur, Roberto Cipolla:
Segmentation and Recognition Using Structure from Motion Point Clouds. ECCV (1) 2008: 44-57 - 2007
- [j2]Antonio Criminisi, Andrew Blake, Carsten Rother, Jamie Shotton, Philip H. S. Torr:
Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming. Int. J. Comput. Vis. 71(1): 89-110 (2007) - [c5]Matthew Johnson, Gabriel J. Brostow, Jamie Shotton, Vivek Kwatra, Roberto Cipolla:
Semantic photo synthesis. Human Vision and Electronic Imaging 2007: 64920X - 2006
- [j1]Matthew Johnson, Gabriel J. Brostow, Jamie Shotton, Ognjen Arandjelovic, Vivek Kwatra, Roberto Cipolla:
Semantic Photo Synthesis. Comput. Graph. Forum 25(3): 407-413 (2006) - [c4]John M. Winn, Jamie Shotton:
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. CVPR (1) 2006: 37-44 - [c3]Jamie Shotton, John M. Winn, Carsten Rother, Antonio Criminisi:
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation. ECCV (1) 2006: 1-15 - 2005
- [c2]Jamie Shotton, Andrew Blake, Roberto Cipolla:
Contour-Based Learning for Object Detection. ICCV 2005: 503-510 - 2003
- [c1]Antonio Criminisi, Jamie Shotton, Andrew Blake, Philip H. S. Torr:
Gaze Manipulation for One-to-one Teleconferencing. ICCV 2003: 191-198
Coauthor Index
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