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06/18/2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysi...
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10/09/2022
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
This work proposes a first-of-its-kind SLAM architecture fusing an event...
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08/27/2022
Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes
Learning to safely navigate in unknown environments is an important task...
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07/04/2022
Representation Learning with Information Theory for COVID-19 Detection
Successful data representation is a fundamental factor in machine learni...
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02/16/2022
Continuously Learning to Detect People on the Fly: A Bio-inspired Visual System for Drones
This paper demonstrates for the first time that a biologically-plausible...
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11/01/2021
Learning Event-based Spatio-Temporal Feature Descriptors via Local Synaptic Plasticity: A Biologically-Plausible Perspective of Computer Vision
We present an optimization-based theory describing spiking cortical ense...
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11/23/2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Our motivating application is a real-world problem: COVID-19 classificat...
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11/28/2016
