Chris Holder
TitleCited byYear
From on-road to off: transfer learning within a deep convolutional neural network for segmentation and classification of off-road scenes
CJ Holder, TP Breckon, X Wei
European Conference on Computer Vision, 149-162, 2016
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
BG Maciel-Pearson, S Akçay, A Atapour-Abarghouei, C Holder, ...
IEEE Robotics and Automation Letters 4 (4), 4116-4123, 2019
Visual Siamese Clustering for Cosmetic Product Recommendation
CJ Holder, B Obara, S Ricketts
Asian Conference on Computer Vision, 510-522, 2018
Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments
CJ Holder, TP Breckon
International Conference Image Analysis and Recognition, 427-434, 2018
Convolutional networks for appearance-based recommendation and visualisation of mascara products
CJ Holder, S Ricketts, B Obara
Machine Vision and Applications 31 (1), 5, 2020
Learning to Drive: End-to-End Off-Road Path Prediction
CJ Holder, TP Breckon
IEEE Intelligent Transportation Systems Magazine, 2019
Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction
CJ Holder, TP Breckon
2018 IEEE Intelligent Vehicles Symposium (IV), 2104-2110, 2018
Depth Not Needed-An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network
CJ Holder, TP Breckon, X Wei
arXiv preprint arXiv:1801.01235, 2018
On Semantic Segmentation and Path Planning for Autonomous Vehicles within Off-Road Environments
Durham University, 2018
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