Research

My current research interests focus on volumetric capture of humans combining geometric pipelines with recent advances in neural rendering. 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