Markerless methods for animal posture tracking have been developing rece...
Personalizing generative models offers a way to guide image generation w...
We present ISAAC (Input-baSed ApproximAte Curvature), a novel method tha...
Visualization researchers and visualization professionals seek appropria...
In this paper, we propose the t-FDP model, a force-directed placement me...
Color is one of the main visual channels used for highlighting elements ...
Recently, research has increasingly focused on developing efficient neur...
The top-k classification accuracy is one of the core metrics in machine
...
In this work, we present and study a generalized family of differentiabl...
Differentiable sorting algorithms allow training with sorting and rankin...
Reconstructing the 3D geometry of an object from an image is a major
cha...
The integration of algorithmic components into neural architectures has
...
Creating comprehensible visualizations of highly overlapping set-typed d...
Sorting and ranking supervision is a method for training neural networks...
We present an integrated approach for creating and assigning color palet...
The placement of vegetation plays a central role in the realism of virtu...
We present a framework that allows users to incorporate the semantics of...
Artificial neural networks revolutionized many areas of computer science...
We present a technique to perform dimensionality reduction on data that ...
We present a novel approach to 3D object reconstruction from its 2D
proj...