2 citations · 5 across the 6 of their papers we have counts for
6 papers
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…
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…
Mitigating Bias Using Model-Agnostic Data Attribution
Sander De Coninck, Sam Leroux, Pieter Simoens
Mitigating bias in machine learning models is a critical endeavor for ensuring fairness and equity. In this paper, we propose a novel approach to address bias by leveraging pixel i…
Selective manipulation of disentangled representations for privacy-aware facial image processing
Sander De Coninck, Wei-Cheng Wang, Sam Leroux +1
Camera sensors are increasingly being combined with machine learning to perform various tasks such as intelligent surveillance. Due to its computational complexity, most of these m…
Privacy Aware Person Detection in Surveillance Data
Sander De Coninck, Sam Leroux, Pieter Simoens
Crowd management relies on inspection of surveillance video either by operators or by object detection models. These models are large, making it difficult to deploy them on resourc…