12 citations · 27 across the 5 of their papers we have counts for
5 papers
MaLP: Manipulation Localization Using a Proactive Scheme
Vishal Asnani, Xi Yin, Tal Hassner +1
Advancements in the generation quality of various Generative Models (GMs) has made it necessary to not only perform binary manipulation detection but also localize the modified pix…
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Anh Tuan Tran, Tal Hassner, Iacopo Masi +1
The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely used for face recognition and always under controlled viewing conditions. We claim tha…
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better
Christopher Parker, Matthew Daiter, Kareem Omar +2
Accuracy, descriptor size, and the time required for extraction and matching are all important factors when selecting local image descriptors. To optimize over all these requiremen…
LATCH: Learned Arrangements of Three Patch Codes
Gil Levi, Tal Hassner
We present a novel means of describing local image appearances using binary strings. Binary descriptors have drawn increasing interest in recent years due to their speed and low me…
Effective Face Frontalization in Unconstrained Images
Tal Hassner, Shai Harel, Eran Paz +1
"Frontalization" is the process of synthesizing frontal facing views of faces appearing in single unconstrained photos. Recent reports have suggested that this process may substant…