Yesterday, Marco Paracchini successfully defended his Ph.D. dissertation titled “Remote Biometric Signal Processing based on Deep Learning using SPAD Cameras.” In his study, Marco aims at developing a compact system able to remotely and in real-time check the health condition of
OccamyPy: a python library for inverse problems
We are happy to announce the publication of OccamyPy, a python library for solving small- and large-scale inverse problems! Codes and tutorials: https://github.com/fpicetti/occamypy This library has been developed at Stanford University by Ettore Biondi, Guillaume Barnier, Robert Clapp, Stuart Farris
ISPL joined the DARPA’s Semantic Forensics (SemaFor) research program as part of the Purdue University team. We will develop techniques to detect and attribute falsified media like text, audio, image and video.