62 citations · 99 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Mixture of Tunable Experts -- Behavior Modification of DeepSeek-R1 at Inference Time
Robert Dahlke, Henrik Klagges, Dan Zecha +3
We present the Mixture-of-Tunable-Experts (MoTE), a method that extends the Mixture-of-Experts architecture of Large Language Models (LLMs). Without additional training, MoTE enabl…
cs.CV2018★ 37 cited
Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming
Moritz Einfalt, Dan Zecha, Rainer Lienhart
In this paper we consider the problem of human pose estimation in real-world videos of swimmers. Swimming channels allow filming swimmers simultaneously above and below the water s…
cs.CV2017★ 62 cited
Improving Small Object Proposals for Company Logo Detection
Christian Eggert, Dan Zecha, Stephan Brehm +1
Many modern approaches for object detection are two-staged pipelines. The first stage identifies regions of interest which are then classified in the second stage. Faster R-CNN is…