no code implementations • 14 Dec 2022 • Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath
A skeleton graph is then obtained from skeleton mesh and is used to extract sub-cellular features.
no code implementations • 9 Dec 2021 • Viktor Rudnev, Mohamed Elgharib, William Smith, Lingjie Liu, Vladislav Golyanik, Christian Theobalt
Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflectance and illumination.
no code implementations • 26 Sep 2020 • Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith
This paper explores the viability identifying types of engineering applications running on a cloud infrastructure configured as an HPC platform using privacy preserving features as input to statistical models.
3 code implementations • 28 Aug 2019 • Sarah Alotaibi, William Smith
Skin spectral reflectance is restricted to a biophysical model, we impose a statistical prior on camera spectral sensitivities, a physical constraint on illumination spectra, a sparsity prior on specular reflections and direct supervision on diffuse shading using a rough shape proxy.
1 code implementation • ICCV 2019 • Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla
For the spherical domain, several methods recently adopt an icosahedron mesh, but systems are typically rotation invariant or require significant memory and parameters, thus enabling execution only at very low resolutions.
Ranked #21 on Semantic Segmentation on Stanford2D3D Panoramic
no code implementations • 21 Mar 2018 • Hang Dai, Nick Pears, William Smith
We present a new fully-automatic non-rigid 3D shape registration (morphing) framework comprising (1) a new 3D landmarking and pose normalisation method; (2) an adaptive shape template method to accelerate the convergence of registration algorithms and achieve a better final shape correspondence and (3) a new iterative registration method that combines Iterative Closest Points with Coherent Point Drift (CPD) to achieve a more stable and accurate correspondence establishment than standard CPD.