Presenter

My main area of research are generative models, deep learning, and applications to modeling. My group is working with variational autoencoders, generative adversarial networks, and flow models.

I also recently worked on the following topics:
Dense regression networks for depth estimation.
Graph convolutional networks for mesh processing.
Deep learning for point cloud processing and the analysis of 3D shape collections.
3D architectural indoor and outdoor reconstruction using deep learning

I do have some projects that do not involve deep learning, but I can contribute better when reviewing deep learning based work.