2 citations · 7 across the 15 of their papers we have counts for
5 papers · 1 filter
Privacy-Preserving Computer Vision for Industry: Three Case Studies in Human-Centric Manufacturing
Sander De Coninck, Emilio Gamba, Bart Van Doninck +3
The adoption of AI-powered computer vision in industry is often constrained by the need to balance operational utility with worker privacy. Building on our previously proposed priv…
In-Field Mapping of Grape Yield and Quality with Illumination-Invariant Deep Learning
Ciem Cornelissen, Sander De Coninck, Axel Willekens +2
This paper presents an end-to-end, IoT-enabled robotic system for the non-destructive, real-time, and spatially-resolved mapping of grape yield and quality (Brix, Acidity) in viney…
Predictive Coding-based Deep Neural Network Fine-tuning for Computationally Efficient Domain Adaptation
Matteo Cardoni, Sam Leroux
As deep neural networks are increasingly deployed in dynamic, real-world environments, relying on a single static model is often insufficient. Changes in input data distributions c…
Enabling Privacy-Aware AI-Based Ergonomic Analysis
Sander De Coninck, Emilio Gamba, Bart Van Doninck +3
Musculoskeletal disorders (MSDs) are a leading cause of injury and productivity loss in the manufacturing industry, incurring substantial economic costs. Ergonomic assessments can…
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data
Ciem Cornelissen, Sam Leroux, Pieter Simoens
Unmanned Aerial Vehicles (UAVs) combined with Hyperspectral imaging (HSI) offer potential for environmental and agricultural applications by capturing detailed spectral information…