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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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05/09/2023
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels
Accurate product information is critical for e-commerce stores to allow ...
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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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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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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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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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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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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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04/21/2021
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
Accurately forecasting transportation demand is crucial for efficient ur...
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02/09/2021
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding
Neural networks can be successfully used to improve several modules of a...
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12/31/2020
Investigating Memorability of Dynamic Media
The Predicting Media Memorability task in MediaEval'20 has some challeng...
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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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11/15/2020
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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07/31/2020
Utilising Visual Attention Cues for Vehicle Detection and Tracking
Advanced Driver-Assistance Systems (ADAS) have been attracting attention...
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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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06/27/2020
Chroma Intra Prediction with attention-based CNN architectures
Neural networks can be used in video coding to improve chroma intra-pred...
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06/11/2020
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding
Deep learning has shown great potential in image and video compression t...
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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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08/26/2019
End-to-End Conditional GAN-based Architectures for Image Colourisation
In this work recent advances in conditional adversarial networks are inv...
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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
Temporal recurrences for video saliency prediction
This paper investigates modifying an existing neural network architectur...
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07/03/2019
Simple vs complex temporal recurrences for video saliency prediction
This paper investigates modifying an existing neural network architectur...
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04/25/2019
On guiding video object segmentation
This paper presents a novel approach for segmenting moving objects in un...
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04/25/2019
Unsupervised label noise modeling and loss correction
Despite being robust to small amounts of label noise, convolutional neur...
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09/03/2018
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks
We introduce PathGAN, a deep neural network for visual scanpath predicti...
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11/29/2017
Saliency Weighted Convolutional Features for Instance Search
This work explores attention models to weight the contribution of local ...
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11/15/2017
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting
In this paper we propose a technique to adapt a convolutional neural net...
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07/11/2017
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes
We introduce SaltiNet, a deep neural network for scanpath prediction tra...
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05/30/2017
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification
In this paper we propose ResnetCrowd, a deep residual architecture for s...
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03/29/2017
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks
This paper introduces a new approach to automatically quantify the sever...
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01/04/2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
We introduce SalGAN, a deep convolutional neural network for visual sali...
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12/01/2016
Fully Convolutional Crowd Counting On Highly Congested Scenes
In this paper we advance the state-of-the-art for crowd counting in high...
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09/09/2016
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI
In this paper we present an interactive tool that can be used to quantif...
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09/08/2016