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Manuel S. Drehwald

2 accepted papers

2024

Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation

NeurIPS 2024poster

Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infected areas or minerals in rocks. Collecting data that captures this vast variability is complex due to the scattered and…

Cited by 1SourcePDFScholar
2023

One-Shot Recognition of Any Material Anywhere Using Contrastive Learning with Physics-Based Rendering

ICCV 2023poster

Visual recognition of materials and their states is essential for understanding the world, from determining whether food is cooked, metal is rusted, or a chemical reaction has occurred. However, current image recognition methods are limited to specific classes and properties and can't handle the vas…

Cited by 12PDFcodeScholar