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09/15/2023
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?
Deep neural networks used in computer vision have been shown to exhibit ...
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09/10/2023
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture
Deep learning based visual-linguistic multimodal models such as Contrast...
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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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04/26/2023
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models
Generative multimodal models based on diffusion models have seen tremend...
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04/22/2023
Constructing a meta-learner for unsupervised anomaly detection
Unsupervised anomaly detection (AD) is critical for a wide range of prac...
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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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09/08/2021
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
Research into the classification of Image with Text (IWT) troll memes ha...
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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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05/14/2020
ECIR 2020 Workshops: Assessing the Impact of Going Online
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected...
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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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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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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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12/01/2016
