4 citations · 4 across the 1 of their papers we have counts for
3 papers · 1 filter
Insights From A Large-Scale Database of Material Depictions In Paintings
Hubert Lin, Mitchell Van Zuijlen, Maarten W. A. Wijntjes +2
Deep learning has paved the way for strong recognition systems which are often both trained on and applied to natural images. In this paper, we examine the give-and-take relationsh…
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition
Hubert Lin, Paul Upchurch, Kavita Bala
Image datasets with high-quality pixel-level annotations are valuable for semantic segmentation: labelling every pixel in an image ensures that rare classes and small objects are a…
Learning Material-Aware Local Descriptors for 3D Shapes
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis +5
Material understanding is critical for design, geometric modeling, and analysis of functional objects. We enable material-aware 3D shape analysis by employing a projective convolut…