Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
A Data and Compute Efficient Design for Limited-Resources Deep Learning
Published in ICLR, AI4 Developing Countries., 2020
We design and test an equivariant version of MobileNetV2 and further optimize it with model quantization to enable more efficient inference.
Recommended citation: Mohamed, Mirgahney, et al. "A data and compute efficient design for limited-resources deep learning." ICLR, AI4 Developing Countries. (2020). https://arxiv.org/abs/2004.09691.pdf
Data and compute efficient equivariant convolutional networks
Published in , 2022
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Mohamed, Mirgahney et.al. (2021). "Data and compute efficient equivariant convolutional networks; US Patent App. 17/170,745. https://patentimages.storage.googleapis.com/d8/3b/56/ab431403304b8c/US20210248467A1.pdf
GNPM: Geometric-Aware Neural Parametric Models
Published in 3DV, 2022
We propose Geometric Neural Parametric Models (GNPM), a learned parametric model that takes into account the local structure of data to learn disentangled shape and pose latent spaces of 4D dynamics, using a geometric-aware architecture on point clouds.
Recommended citation: Mirgahney Mohamed, Lourdes Agapito (2022). "GNPM: Geometric-Aware Neural Parametric Models." 3DV. 1(1). https://arxiv.org/abs/2209.10621.pdf
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.