Search Results for author:
Found 8 papers, 3 papers with code
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
We present RangeUDF, a new implicit representation based framework to recover the geometry and semantics of continuous 3D scene surfaces from point clouds.
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss
In this paper, we introduce two methods of improving real-time object grasping performance from monocular colour images in an end-to-end CNN architecture.
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
X-ray security screening is widely used to maintain aviation/transport security, and its significance poses a particular interest in automated screening systems.
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation
In this work we use the novel Dense Gradient Based Features (DeGraF) as the input to a sparse-to-dense optical flow scheme.
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
Despite significant recent progress in the area of Brain-Computer Interface (BCI), there are numerous shortcomings associated with collecting Electroencephalography (EEG) signals in real-world environments.
Quantitative Methods Signal Processing
Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks
We present a method for reading digital data embedded in planar 3D printed surfaces.
Style Augmentation: Data Augmentation via Style Randomization
In addition to standard classification experiments, we investigate the effect of style augmentation (and data augmentation generally) on domain transfer tasks.
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder
In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages.
