Matthieu Guillaumin — accepted AI-conference papers

2022

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding

Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu +6

CVPR 2022poster

We introduce Amazon Berkeley Objects (ABO), a new large-scale dataset designed to help bridge the gap between real and virtual 3D worlds. ABO contains product catalog images, metadata, and artist-created 3D models with complex geometries and physically-based materials that correspond to real, househ…

Cited by 225 PDF ↗code ↗Scholar ↗

2015

From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement

Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool

CVPR 2015poster

The number of digital images is growing extremely rapidly, and so is the need for their classification. But, as more images of pre-defined categories become available, they also become more diverse and cover finer semantic differences. Ultimately, the categories themselves need to be divided into…

Cited by 75 Source ↗PDF ↗Scholar ↗