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Scale Learning in Scale-Equivariant Convolutional networks
Data-efficient resolution transfer with Continuous Kernel Convolutional Neural Networks
A study of the impact of CNN architecture variation on predicting brain activity using feature-weighted receptive fields
VideoMuscle: Estimating human musculoskeletal model using neural networks from monocular video
Reinforcement learning for hyperparameter tuning in deep learning-based side-channel analysis
Indoor 3D Reconstruction from a Single Image
Top-Down Networks: A coarse-to-fine reimagination of CNNs
Transfer learning for indoor object classification: From images to point clouds
An Analysis of Deep Learning Based Profiled Side-channel Attacks: Custom Deep Learning Layer, CNN Hyperparameters for Countermeasures, and Portability Settings
Image Segmentation of the γ'-Phase in Nickelbase Superalloys utilising Deep Learning
Rotation invariant filters in CNNs: applied to segmentation of aerial images for land-use classification
DeepSleep: A sensor-agnostic approach towards modelling a sleep classification system
Vision-based Terrain Segmentation and Roughness Estimation: Application on the CENTAURO Robot
Learning Phase-Based Descriptions for Action Recognition
Side-Channel Attacks using Convolutional Neural Networks: A Study on the performance of Convolutional Neural Networks on side-channel data
Deep Learning for Monitoring the Health Condition of RailwayCrossings
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