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09/18/2023
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training
Hyperspectral images (HSIs) contain rich spectral and spatial informatio...
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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...
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05/01/2023
Physical Adversarial Attacks for Surveillance: A Survey
Modern automated surveillance techniques are heavily reliant on deep lea...
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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...
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04/05/2022
Towards On-Board Panoptic Segmentation of Multispectral Satellite Images
With tremendous advancements in low-power embedded computing devices and...
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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...
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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...
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12/04/2020
Deep Learning for Medical Anomaly Detection – A Survey
Machine learning-based medical anomaly detection is an important problem...
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11/18/2020
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
Objective: Epilepsy is one of the most prevalent neurological diseases a...
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11/12/2020
Domain Generalization in Biosignal Classification
Objective: When training machine learning models, we often assume that t...
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11/10/2020
Fast Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers
Neural Memory Networks (NMNs) have received increased attention in recen...
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09/23/2020
Attention Driven Fusion for Multi-Modal Emotion Recognition
Deep learning has emerged as a powerful alternative to hand-crafted meth...
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07/16/2020
Memory Based Attentive Fusion
The use of multi-modal data for deep machine learning has shown promise ...
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05/21/2020
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection
Traditionally, abnormal heart sound classification is framed as a three-...
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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...
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04/02/2020
Heart Sound Segmentation using Bidirectional LSTMs with Attention
This paper proposes a novel framework for the segmentation of phonocardi...
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12/10/2019
Neural Memory Networks for Seizure Type Classification
Classification of seizure type is a key step in the clinical process for...
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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...
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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...
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10/12/2019
Neural Memory Plasticity for Anomaly Detection
In the domain of machine learning, Neural Memory Networks (NMNs) have re...
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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...
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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...
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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...
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07/22/2018
Pedestrian Trajectory Prediction with Structured Memory Hierarchies
This paper presents a novel framework for human trajectory prediction ba...
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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 ...
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05/13/2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
This paper presents a novel framework for automatic learning of complex ...
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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...
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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...
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03/12/2017
Tree Memory Networks for Modelling Long-term Temporal Dependencies
In the domain of sequence modelling, Recurrent Neural Networks (RNN) hav...
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02/18/2017