activity
20162026
most citedEvaluating Large Language Models Trained on Code

1.5k citations · 3.4k across the 17 of their papers we have counts for

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cs.RO2016★ 269 cited

The KIT Motion-Language Dataset

Matthias Plappert, Christian Mandery, Tamim Asfour

Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities…

cs.LG2016★ 1 cited

Classification of Human Whole-Body Motion using Hidden Markov Models

Matthias Plappert

Human motion plays an important role in many fields. Large databases exist that store and make available recordings of human motions. However, annotating each motion with multiple…