Christopher J. Holder

According to our database, Christopher J. Holder authored at least 15 papers between 2016 and 2022.

Collaborative distances:

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

2022

Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning.

Christopher J. Holder, Majid Khonji, Jorge Dias, Muhammad Shafique

CoRR, 2022

Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles.

Christopher J. Holder, Muhammad Shafique

CoRR, 2022

On Efficient Real-Time Semantic Segmentation: A Survey.

Christopher J. Holder, Muhammad Shafique

CoRR, 2022

2021

Learning to Drive: End-to-End Off-Road Path Prediction.

Christopher J. Holder, Toby P. Breckon

IEEE Intell. Transp. Syst. Mag., 2021

Camera Bias in a Fine Grained Classification Task.

Philip T. G. Jackson, Stephen Bonner, Ning Jia, Christopher J. Holder, Jonathan Stonehouse, Boguslaw Obara

Proceedings of the International Joint Conference on Neural Networks, 2021

Efficient Uncertainty Estimation in Semantic Segmentation via Distillation.

Christopher J. Holder, Muhammad Shafique

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Convolutional networks for appearance-based recommendation and visualisation of mascara products.

Christopher J. Holder, Stephen Ricketts, Boguslaw Obara

Mach. Vis. Appl., 2020

Input Optimisation Network for Semantic Segmentation of Underexposed Images.

Christopher J. Holder, Majid Khonji, Jorge Dias

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020

2019

Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments.

Bruna G. Maciel-Pearson, Samet Akçay, Amir Atapour Abarghouei, Christopher J. Holder, Toby P. Breckon

IEEE Robotics Autom. Lett., 2019

Coarse Annotation Refinement for Segmentation of Dot-Matrix Batchcodes.

Ning Jia, Christopher J. Holder, Stephen Bonner, Boguslaw Obara

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network.

Christopher J. Holder, Toby P. Breckon, Xiong Wei

CoRR, 2018

Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction.

Christopher J. Holder, Toby P. Breckon

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments.

Christopher J. Holder, Toby P. Breckon

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Visual Siamese Clustering for Cosmetic Product Recommendation.

Christopher J. Holder, Boguslaw Obara, Stephen Ricketts

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2016

From On-Road to Off: Transfer Learning Within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes.

Christopher J. Holder, Toby P. Breckon, Wei Xiong

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016