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Ryosuke Yamada*

2 accepted papers

2024

Formula-Supervised Visual-Geometric Pre-training

ECCV 2024poster

"Throughout the history of computer vision, while research has explored the integration of images (visual) and point clouds (geometric), many advancements in image and 3D object recognition have tended to process these modalities separately. We aim to bridge this divide by integrating images and poi…

2024

Scaling Backwards: Minimal Synthetic Pre-training?

ECCV 2024poster

"Pre-training and transfer learning are an important building block of current computer vision systems. While pre-training is usually performed on large real-world image datasets, in this paper we ask whether this is truly necessary. To this end, we search for a minimal, purely synthetic pre-trainin…