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07/22/2023
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Early detection of colorectal polyps is of utmost importance for their t...
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07/21/2023
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts
Contrastive pretrained large Vision-Language Models (VLMs) like CLIP hav...
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07/20/2023
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention
Deep learning has shown excellent performance in analysing medical image...
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05/17/2023
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans
Chest X-rays have been widely used for COVID-19 screening; however, 3D c...
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02/02/2023
Site-specific Deep Learning Path Loss Models based on the Method of Moments
This paper describes deep learning models based on convolutional neural ...
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01/27/2023
Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning
This paper studies the problem of learning a control policy without the ...
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01/22/2023
Unifying Synergies between Self-supervised Learning and Dynamic Computation
Self-supervised learning (SSL) approaches have made major strides forwar...
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01/11/2023
TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation
Video saliency prediction has recently attracted attention of the resear...
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10/11/2022
Motion Aware Self-Supervision for Generic Event Boundary Detection
The task of Generic Event Boundary Detection (GEBD) aims to detect momen...
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10/10/2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
Designing robust algorithms capable of training accurate neural networks...
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10/05/2022
BaseTransformers: Attention over base data-points for One Shot Learning
Few shot classification aims to learn to recognize novel categories usin...
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10/03/2022
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets
Over the years, the paradigm of medical image analysis has shifted from ...
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10/03/2022
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations
End-to-end reinforcement learning techniques are among the most successf...
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10/02/2022
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
Technological advancements have spurred the usage of machine learning ba...
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09/20/2022
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts
Methods that are resilient to artifacts in the cardiac magnetic resonanc...
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09/19/2022
Towards advanced robotic manipulation
Robotic manipulation and control has increased in importance in recent y...
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07/25/2022
Dynamic Channel Selection in Self-Supervised Learning
Whilst computer vision models built using self-supervised approaches are...
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07/04/2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets
Using search engines for web image retrieval is a tempting alternative t...
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06/09/2022
Segmentation Enhanced Lameness Detection in Dairy Cows from RGB and Depth Video
Cow lameness is a severe condition that affects the life cycle and life ...
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05/19/2022
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks
This paper describes a deep reinforcement learning (DRL) approach that w...
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04/20/2022
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation
Sward species composition estimation is a tedious one. Herbage must be c...
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04/18/2022
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
Herbage mass yield and composition estimation is an important tool for d...
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02/17/2022
Synthetic data for unsupervised polyp segmentation
Deep learning has shown excellent performance in analysing medical image...
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02/17/2022
Domain Randomization for Object Counting
Recently, the use of synthetic datasets based on game engines has been s...
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01/25/2022
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment
Evaluating video captioning systems is a challenging task as there are m...
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11/17/2021
Improving Person Re-Identification with Temporal Constraints
In this paper we introduce an image-based person re-identification datas...
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10/27/2021
How Important is Importance Sampling for Deep Budgeted Training?
Long iterative training processes for Deep Neural Networks (DNNs) are co...
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10/26/2021
Semi-supervised dry herbage mass estimation using automatic data and synthetic images
Monitoring species-specific dry herbage biomass is an important aspect o...
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10/26/2021
Addressing out-of-distribution label noise in webly-labelled data
A recurring focus of the deep learning community is towards reducing the...
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09/30/2021
Real Robot Challenge using Deep Reinforcement Learning
This paper details our winning submission to Phase 1 of the 2021 Real Ro...
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06/18/2021
Discerning Generic Event Boundaries in Long-Form Wild Videos
Detecting generic, taxonomy-free event boundaries invideos represents a ...
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06/17/2021
PixInWav: Residual Steganography for Hiding Pixels in Audio
Steganography comprises the mechanics of hiding data in a host media tha...
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04/30/2021
Evaluating Contrastive Models for Instance-based Image Retrieval
In this work, we evaluate contrastive models for the task of image retri...
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01/08/2021
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset
The dairy industry uses clover and grass as fodder for cows. Accurate es...
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12/18/2020
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates
Current deep learning based video classification architectures are typic...
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12/08/2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Deep neural networks trained with standard cross-entropy loss memorize n...
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11/20/2020
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos
The spherical domain representation of 360 video/image presents many cha...
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11/15/2020
Unsupervised Contrastive Learning of Sound Event Representations
Self-supervised representation learning can mitigate the limitations in ...
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10/13/2020
How important are faces for person re-identification?
This paper investigates the dependence of existing state-of-the-art pers...
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10/05/2020
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset
This work presents a comparative study of existing and new techniques to...
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08/25/2020
FastSal: a Computationally Efficient Network for Visual Saliency Prediction
This paper focuses on the problem of visual saliency prediction, predict...
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07/23/2020
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning
Reducing the amount of labels required to trainconvolutional neural netw...
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05/01/2020
Investigating Class-level Difficulty Factors in Multi-label Classification Problems
This work investigates the use of class-level difficulty factors in mult...
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12/18/2019
Towards Robust Learning with Different Label Noise Distributions
Noisy labels are an unavoidable consequence of automatic image labeling ...
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10/25/2019
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation
This work tackles the Pixel Privacy task put forth by MediaEval 2019. Ou...
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08/23/2019
Predicting knee osteoarthritis severity: comparative modeling based on patient's data and plain X-ray images
Knee osteoarthritis (KOA) is a disease that impairs knee function and ca...
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08/23/2019
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
This work proposes a novel end-to-end convolutional neural network (CNN)...
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08/23/2019
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
This chapter presents the investigations and the results of feature lear...
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08/08/2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Semi-supervised learning, i.e. jointly learning from labeled an unlabele...
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07/03/2019