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01/19/2023
The role of noise in denoising models for anomaly detection in medical images
Pathological brain lesions exhibit diverse appearance in brain images, i...
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01/25/2022
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data
As the costs of sensors and associated IT infrastructure decreases - as ...
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11/13/2020
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Deep neural network approaches have demonstrated high performance in obj...
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08/17/2020
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?
For geospatial modelling and mapping tasks, variants of kriging - the sp...
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05/12/2020
Real-time Facial Expression Recognition "In The Wild” by Disentangling 3D Expression from Identity
Human emotions analysis has been the focus of many studies, especially i...
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05/06/2020
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning
Forecasting the weather is an increasingly data intensive exercise. Nume...
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04/29/2020
Image Captioning through Image Transformer
Automatic captioning of images is a task that combines the challenges of...
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06/06/2019
Contextual Relabelling of Detected Objects
Contextual information, such as the co-occurrence of objects and the spa...
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03/06/2019
Understanding and Visualizing Deep Visual Saliency Models
Recently, data-driven deep saliency models have achieved high performanc...
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03/06/2019
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis
In this work, we present a novel multi-modal dataset consisting of eye m...
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01/18/2019
On-Policy Trust Region Policy Optimisation with Replay Buffers
Building upon the recent success of deep reinforcement learning methods,...
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03/15/2018
Aggregated Sparse Attention for Steering Angle Prediction
In this paper, we apply the attention mechanism to autonomous driving fo...
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03/15/2018
Salient Region Segmentation
Saliency prediction is a well studied problem in computer vision. Early ...
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03/15/2018
What Catches the Eye? Visualizing and Understanding Deep Saliency Models
Deep convolutional neural networks have demonstrated high performances f...
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01/12/2018
Deep saliency: What is learnt by a deep network about saliency?
Deep convolutional neural networks have achieved impressive performance ...
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09/05/2017
