We present Platypus, a family of fine-tuned and merged Large
Language Mo...
Personalization has emerged as a prominent aspect within the field of
ge...
Vision transformers (ViTs) have significantly changed the computer visio...
Pre-trained large text-to-image models synthesize impressive images with...
We present DreamBooth3D, an approach to personalize text-to-3D generativ...
Modern deep neural networks tend to be evaluated on static test sets. On...
We present a Body Measurement network (BMnet) for estimating 3D
anthropo...
Large text-to-image models achieved a remarkable leap in the evolution o...
The modern open internet contains billions of public images of human fac...
Most machine learning models are validated and tested on fixed datasets....
To detect bias in face recognition networks, it can be useful to probe a...
In this work, we develop efficient disruptions of black-box image transl...
We address the problem of detecting attention targets in video. Specific...
Face modification systems using deep learning have become increasingly
p...
In the context of building an intelligent tutoring system (ITS), which
i...
Eye contact is a crucial element of non-verbal communication that signif...
Simulation is a useful tool in situations where training data for machin...
Automatic generation of textual video descriptions that are time-aligned...
This paper addresses the challenging problem of estimating the general v...
Estimating the head pose of a person is a crucial problem that has a lar...
Face detection is a very important task and a necessary pre-processing s...