James Charles

According to our database, James Charles authored at least 28 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

General resource manager for computationally demanding scientific software (MARE).

Xinchen Guo, James Charles, Namita Narendra, Gerhard Klimeck, Tillmann Kubis

Eng. Comput., June, 2024

FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic Data.

Oliver Boyne, Gwangbin Bae, James Charles, Roberto Cipolla

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Applying a Quantum Annealer to the Traffic Assignment Problem.

Darren M. Chitty, James Charles, Alberto Moraglio, Ed Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2022

Discrete neural representations for explainable anomaly detection.

Stanislaw Szymanowicz, James Charles, Roberto Cipolla

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Style2NeRF: An Unsupervised One-Shot NeRF for Semantic 3D Reconstruction.

James Charles, Wim Abbeloos, Daniel Olmeda Reino, Roberto Cipolla

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet.

Oliver Boyne, James Charles, Roberto Cipolla

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Scaling digital screen reading with one-shot learning and re-identification.

James Charles, Stefano Bucciarelli, Roberto Cipolla

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

X-MAN: Explaining Multiple Sources of Anomalies in Video.

Stanislaw Szymanowicz, James Charles, Roberto Cipolla

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Real-Time Analogue Gauge Transcription on Mobile Phone.

Ben Howells, James Charles, Roberto Cipolla

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.

Benjamin Biggs, Oliver Boyne, James Charles, Andrew W. Fitzgibbon, Roberto Cipolla

Proceedings of the Computer Vision - ECCV 2020, 2020

Real-time screen reading: reducing domain shift for one-shot learning.

James Charles, Stefano Bucciarelli, Roberto Cipolla

Proceedings of the 31st British Machine Vision Conference 2020, 2020

FootNet: An Efficient Convolutional Network for Multiview 3D Foot Reconstruction.

Felix Kok, James Charles, Roberto Cipolla

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2017

Real-time Factored ConvNets: Extracting the X Factor in Human Parsing.

James Charles, Ignas Budvytis, Roberto Cipolla

Proceedings of the British Machine Vision Conference 2017, 2017

Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot.

Paul Duckworth, Muhannad Al-Omari, James Charles, David C. Hogg, Anthony G. Cohn

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Virtual Immortality: Reanimating Characters from TV Shows.

James Charles, Derek R. Magee, David C. Hogg

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Personalizing Human Video Pose Estimation.

James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law.

Robert Andrawis, José David Bermeo, James Charles, Jianbin Fang, Jim Fonseca, Yu He, Gerhard Klimeck, Zhengping Jiang, Tillmann Kubis, Daniel F. Mejia, Daniel Lemus, Michael Povolotskyi, Santiago Alonso Pérez-Rubiano, Prasad Sarangapani, Lang Zeng

CoRR, 2015

Flowing ConvNets for Human Pose Estimation in Videos.

Tomas Pfister, James Charles, Andrew Zisserman

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Automatic and Efficient Human Pose Estimation for Sign Language Videos.

James Charles, Tomas Pfister, Mark Everingham, Andrew Zisserman

Int. J. Comput. Vis., 2014

Domain-Adaptive Discriminative One-Shot Learning of Gestures.

Tomas Pfister, James Charles, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2014, 2014

Upper Body Pose Estimation with Temporal Sequential Forests.

James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2014

Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos.

Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences).

Tomas Pfister, James Charles, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2013

Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts.

James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2013

2012

Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts.

Tomas Pfister, James Charles, Mark Everingham, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2012

2011

ECOGEM: A European Framework-7 Project.

Jianmin Jiang, James Charles, Konstantinos P. Demestichas

IEEE Veh. Technol. Mag., 2011

Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect.

James Charles, Mark Everingham

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2009

Evaluation of the Intel.

James Charles, Preet Jassi, Narayan S. Ananth, Abbas Sadat, Alexandra Fedorova

Proceedings of the 2009 IEEE International Symposium on Workload Characterization, 2009