2 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
Fine-grained Human Motion Understanding with Language Models
Thomas Markhorst, Zhi-Yi Lin, Jouh Yeong Chew +2
In this work, we propose \methodname, an LLM-based model for fine-grained human motion understanding that represents motion as a sequence of skeletal poses with explicit timestamps…
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes
Casper van Engelenburg, Fatemeh Mostafavi, Emanuel Kuhn +5
Diverse and realistic floor plan data are essential for the development of useful computer-aided methods in architectural design. Today's large-scale floor plan datasets predominan…
Do Object Detection Localization Errors Affect Human Performance and Trust?
Sven de Witte, Ombretta Strafforello, Jan van Gemert
Bounding boxes are often used to communicate automatic object detection results to humans, aiding humans in a multitude of tasks. We investigate the relationship between bounding b…
Can we predict the Most Replayed data of video streaming platforms?
Alessandro Duico, Ombretta Strafforello, Jan van Gemert
Predicting which specific parts of a video users will replay is important for several applications, including targeted advertisement placement on video platforms and assisting vide…
Differentiable Transportation Pruning
Yunqiang Li, Jan C. van Gemert, Torsten Hoefler +3
Deep learning algorithms are increasingly employed at the edge. However, edge devices are resource constrained and thus require efficient deployment of deep neural networks. Prunin…