A major open problem on the road to artificial intelligence is the development of incrementally
learning systems that learn about more and more concepts over time from a stream of data…

This paper introduces a methodology for inverse-modeling of yarn-level mechanics of cloth,
based on the mechanical response of fabrics in the real world. We compiled a database …

In this section, we derive the analytic expression for the computation of the rotation matrix R
from Section 4.2 of our main paper, and we summarize how to compute the micro-…

… Using the optimization method of Sperl et al. [2020], we optimize for the elastostatic rest
shape q subject to the respective deformation. We then pull the resulting geometry back into the …

Large-scale object recognition challenges such as the ImageNet Large Scale Visual Object
Recognition Challenge or the Microsoft Common Objects in Context challenge have shown …

Wave packet dynamics and autoionization of doubly excited states in molecules can be
studied by combining an intense, short-pulse infrared (IR) laser and a extreme ultraviolet (XUV) …

Die Geschichte einer jeden Edition weist ihre spezifischen Züge auf. In besonderer Weise
trifft dies zu auf die mühsame und wechselvolle, engagierte und tragische, immer erneut …

We present a mode-coupling theory for the dynamics of a tagged particle in a driven granular
fluid close to the glass transition. The mean-squared displacement is shown to exhibit a …

Incremental Classifier and Representation Learning Page 1 Incremental Classifier and
Representation Learning Sylvestre-Alvise Rebuffi †,∗ , Alexander Kolesnikov ∗ , Georg Sperl …

Texturing plays an extremely important role in computer graphics. They may, for example,
give flat objects colour patterns and depth or roughness. However, it is often difficult to find or …