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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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04/05/2023
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models
Heatmaps are widely used to interpret deep neural networks, particularly...
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12/01/2022
Automated Coronary Arteries Labeling Via Geometric Deep Learning
Automatic labelling of anatomical structures, such as coronary arteries,...
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08/08/2022
Vision-Based Activity Recognition in Children with Autism-Related Behaviors
Advances in machine learning and contactless sensors have enabled the un...
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07/05/2022
SESS: Saliency Enhancing with Scaling and Sliding
High-quality saliency maps are essential in several machine learning app...
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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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02/26/2022
Continuous Human Action Recognition for Human-Machine Interaction: A Review
With advances in data-driven machine learning research, a wide variety o...
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02/22/2022
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study
Recently, in-bed human pose estimation has attracted the interest of res...
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11/30/2021
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
Medical applications have benefited from the rapid advancement in comput...
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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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07/01/2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
With the remarkable success of representation learning for prediction pr...
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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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05/27/2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
With the advances of data-driven machine learning research, a wide varie...
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05/27/2021
Towards Interpretable Attention Networks for Cervical Cancer Analysis
Recent advances in deep learning have enabled the development of automat...
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04/28/2021
Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
In a real world environment, person re-identification (Re-ID) is a chall...
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04/28/2021
Pose-driven Attention-guided Image Generation for Person Re-Identification
Person re-identification (re-ID) concerns the matching of subject images...
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04/15/2021
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Large-scale trademark retrieval is an important content-based image retr...
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02/08/2021
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted...
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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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12/02/2020
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
Image convolutions have been a cornerstone of a great number of deep lea...
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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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11/10/2020
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition
Gesture recognition is a much studied research area which has myriad rea...
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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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07/12/2020
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis
Automating the analysis of imagery of the Gastrointestinal (GI) tract ca...
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06/23/2020
Meta Transfer Learning for Emotion Recognition
Deep learning has been widely adopted in automatic emotion recognition a...
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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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05/07/2020
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification
Person re-identification (re-ID) remains challenging in a real-world sce...
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05/07/2020
Hierarchical Attention Network for Action Segmentation
The temporal segmentation of events is an essential task and a precursor...
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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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03/24/2020
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition
Deep learning has been applied to achieve significant progress in emotio...
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02/05/2020
Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval
Off-the-shelf convolutional neural network features achieve state-of-the...
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12/16/2019
MTRNet++: One-stage Mask-based Scene Text Eraser
A precise, controllable, interpretable and easily trainable text removal...
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12/16/2019
Predicting the Future: A Jointly Learnt Model for Action Anticipation
Inspired by human neurological structures for action anticipation, we pr...
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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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09/20/2019
Forecasting Future Action Sequences with Neural Memory Networks
We propose a novel neural memory network based framework for future acti...
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09/20/2019
Fine-grained Action Segmentation using the Semi-Supervised Action GAN
In this paper we address the problem of continuous fine-grained action s...
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03/29/2019
Improved Reinforcement Learning with Curriculum
Humans tend to learn complex abstract concepts faster if examples are pr...
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03/19/2019
Geometry-constrained Car Recognition Using a 3D Perspective Network
We present a novel learning framework for vehicle recognition from a sin...
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03/19/2019
3DCarRecog: Car Recognition Using 3D Bounding Box
We present a novel learning framework for vehicle recognition from a sin...
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03/11/2019
MTRNet: A Generic Scene Text Eraser
Text removal algorithms have been proposed for uni-lingual scripts with ...
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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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12/21/2018