most citedA Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2025

Towards Human-Understandable Multi-Dimensional Concept Discovery

Arne Grobrügge, Niklas Kühl, Gerhard Satzger +1

Concept-based eXplainable AI (C-XAI) aims to overcome the limitations of traditional saliency maps by converting pixels into human-understandable concepts that are consistent acros…

cs.CV2021★ 2 cited

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

Patrick Zschech, Jannis Walk, Kai Heinrich +2

Computer vision (CV) techniques try to mimic human capabilities of visual perception to support labor-intensive and time-consuming tasks like the recognition and localization of cr…