research
∙
09/18/2023
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training
Hyperspectral images (HSIs) contain rich spectral and spatial informatio...
share
research
∙
05/19/2023
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
Humans exhibit complex motions that vary depending on the task that they...
research
∙
05/01/2023
Physical Adversarial Attacks for Surveillance: A Survey
Modern automated surveillance techniques are heavily reliant on deep lea...
research
∙
11/15/2022
Using Auxiliary Information for Person Re-Identification – A Tutorial Overview
Person re-identification (re-id) is a pivotal task within an intelligent...
research
∙
04/05/2022
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
With tremendous advancements in low-power embedded computing devices and...
research
∙
08/09/2021
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
This paper presents a novel lightweight COVID-19 diagnosis framework usi...
research
∙
06/30/2021
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
This paper proposes a novel framework for lung sound event detection, se...
research
∙
12/04/2020
Deep Learning for Medical Anomaly Detection – A Survey
Machine learning-based medical anomaly detection is an important problem...
research
∙
11/18/2020
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
Objective: Epilepsy is one of the most prevalent neurological diseases a...
research
∙
11/12/2020
Domain Generalization in Biosignal Classification
Objective: When training machine learning models, we often assume that t...
research
∙
11/10/2020
Fast Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers
Neural Memory Networks (NMNs) have received increased attention in recen...
research
∙
09/23/2020
Attention Driven Fusion for Multi-Modal Emotion Recognition
Deep learning has emerged as a powerful alternative to hand-crafted meth...
research
∙
07/16/2020
Memory Based Attentive Fusion
The use of multi-modal data for deep machine learning has shown promise ...
research
∙
05/21/2020
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection
Traditionally, abnormal heart sound classification is framed as a three-...
research
∙
04/02/2020
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection
This paper presents a novel framework for Speech Activity Detection (SAD...
research
∙
04/02/2020
Heart Sound Segmentation using Bidirectional LSTMs with Attention
This paper proposes a novel framework for the segmentation of phonocardi...
research
∙
12/10/2019
Neural Memory Networks for Seizure Type Classification
Classification of seizure type is a key step in the clinical process for...
research
∙
12/10/2019
Neural Memory Networks for Robust Classification of Seizure Type
Classification of seizure type is a key step in the clinical process for...
research
∙
11/17/2019
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks
Advances in computer vision have brought us to the point where we have t...
research
∙
10/12/2019
Neural Memory Plasticity for Anomaly Detection
In the domain of machine learning, Neural Memory Networks (NMNs) have re...
research
∙
09/20/2019
Coupled Generative Adversarial Network for Continuous Fine-grained Action Segmentation
We propose a novel conditional GAN (cGAN) model for continuous fine-grai...
research
∙
01/16/2019
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
This paper presents a novel framework for predicting shot location and t...
research
∙
12/18/2018
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
This paper presents a novel deep learning framework for human trajectory...
research
∙
07/22/2018
Pedestrian Trajectory Prediction with Structured Memory Hierarchies
This paper presents a novel framework for human trajectory prediction ba...
research
∙
05/14/2018
Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-Agent Trajectories
With the explosion in the availability of spatio-temporal tracking data ...
research
∙
05/13/2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
This paper presents a novel framework for automatic learning of complex ...
research
∙
03/09/2018
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks
Visual saliency patterns are the result of a variety of factors aside fr...
research
∙
03/09/2018
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking
Current multi-person localisation and tracking systems have an over reli...
research
∙
03/12/2017
Tree Memory Networks for Modelling Long-term Temporal Dependencies
In the domain of sequence modelling, Recurrent Neural Networks (RNN) hav...
research
∙
02/18/2017
