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Found 5 papers, 2 papers with code
NASA Neural Articulated Shape Approximation
Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics.
NewsStories: Illustrating articles with visual summaries
Thus, we explore a novel setting where the goal is to learn a self-supervised visual-language representation that is robust to varying text length and the number of images.
NASA: Neural Articulated Shape Approximation
Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics.
Negentropic Planar Symmetry Detector
In this paper we observe that information theoretical concepts are valuable tools for extracting information from images and, in particular, information on image symmetries.
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
A long-standing obstacle to progress in deep learning is the problem of vanishing and exploding gradients.
