Research

My current research interests focus on volumetric capture of humans and disentangled 3D representations for photo-realistic renderings. This requires designing sophisticated computer vision pipelines enhanced with deep learning solutions. Examples of computer vision problems we are currently working on are: high quality depth sensing, per-pixel semantic segmentation, human pose estimation, 3D dense correspondences, mesh reconstruction, non-rigid tracking, mesh parameterization, reflectance maps computation.

We are always looking for talented candidates to push the state-of-the-art in these fields. If you are interested in joining our team, contact me!

Here you can find a list of selected projects and products I contributed to:

          

holo_1     hyperdepth1     fusion4d1

gpc1     flexcase1     hololens1

depth4free1     filterforests1     inairgest1

flexsense1     retrodepth1     icub1