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8 papers · 1 filter
DLM: A Vision-to-Language Framework for Expert-Level Medical Reasoning through Deep Learning and Large Language Models
Md. Najib Hasan, Imran Ahmad, Sourav Basak Shuvo +3
Medical image classifiers detect gastrointestinal diseases well, but they do not explain their decisions. Large language models can generate clinical text, yet they struggle with v…
Deep Spectral Meshes: Multi-Frequency Facial Mesh Processing with Graph Neural Networks
Robert Kosk, Richard Southern, Lihua You +3
With the rising popularity of virtual worlds, the importance of data-driven parametric models of 3D meshes has grown rapidly. Numerous applications, such as computer vision, proced…
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation
Asiri Lindamulage, Nuwan Kodagoda, Shyam Reyal +2
Magnitude-based pruning is a technique used to optimise deep learning models for edge inference. We have achieved over 75% model size reduction with a higher accuracy than the orig…
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
Pedro Machado, Andreas Oikonomou, Joao Filipe Ferreira +1
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task. Object-motion-sensitive ganglion cells (OMS-GC) are specialis…
Toward Robust Image Classification
Basemah Alshemali, Alta Graham, Jugal Kalita
Neural networks are frequently used for image classification, but can be vulnerable to misclassification caused by adversarial images. Attempts to make neural network image classif…
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Diederik Paul Moeys, Daniel Neil, Federico Corradi +7
Machine vision systems using convolutional neural networks (CNNs) for robotic applications are increasingly being developed. Conventional vision CNNs are driven by camera frames at…