April 4, 2024, 4:45 a.m. | Maolin Gao, Zorah L\"ahner, Johan Thunberg, Daniel Cremers, Florian Bernard

cs.CV updates on arXiv.org arxiv.org

arXiv:2012.02689v2 Announce Type: replace
Abstract: Finding correspondences between shapes is a fundamental problem in computer vision and graphics, which is relevant for many applications, including 3D reconstruction, object tracking, and style transfer. The vast majority of correspondence methods aim to find a solution between pairs of shapes, even if multiple instances of the same class are available. While isometries are often studied in shape correspondence problems, they have not been considered explicitly in the multi-matching setting. This paper closes this …

3d reconstruction abstract aim applications arxiv class computer computer vision cs.cv graphics instances multiple object solution style style transfer tracking transfer type vast vision

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US