41 citations · 77 across the 6 of their papers we have counts for
3 papers · 1 filter
A CNN Based Approach for the Near-Field Photometric Stereo Problem
Fotios Logothetis, Ignas Budvytis, Roberto Mecca +1
Reconstructing the 3D shape of an object using several images under different light sources is a very challenging task, especially when realistic assumptions such as light propagat…
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel +2
We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently selects relevant tasks using geometric featu…
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks
Fotios Logothetis, Ignas Budvytis, Roberto Mecca +1
Retrieving accurate 3D reconstructions of objects from the way they reflect light is a very challenging task in computer vision. Despite more than four decades since the definition…