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canh-ng's Projects

awesome-lidar icon awesome-lidar

:sunglasses: Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

dissertation icon dissertation

A repository for my dissertation code, that (1) examines the Prediction of radiotherapy plan violation from spatial arrangement of target and organ at risk structures using deep learning and (2) standardising radiotherapy structures using 3DCNNs and RNNs.

dltfpt icon dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

earthmapper icon earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

hyperopt icon hyperopt

Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'

ieee_tgrs_gcn icon ieee_tgrs_gcn

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

pmnet icon pmnet

We design an end-to-end deep neural network architecture for LiDAR point cloud and 2D image point-wise feature fusion, which is suitable for directly consuming unordered point cloud. To the best of our knowledge, this is the first approach to use multimodal fusion network for aerial point cloud 3D segmentation which well respects the permutation invariance of point cloud. PMNet has an advantage over 2D based models that it can incorporate multi-view 3D scanned data if available.

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