23 citations · 41 across the 5 of their papers we have counts for
7 papers
Generation of Synthetic Images for Pedestrian Detection Using a Sequence of GANs
Viktor Seib, Malte Roosen, Ida Germann +2
Creating annotated datasets demands a substantial amount of manual effort. In this proof-of-concept work, we address this issue by proposing a novel image generation pipeline. The…
Mixing Real and Synthetic Data to Enhance Neural Network Training -- A Review of Current Approaches
Viktor Seib, Benjamin Lange, Stefan Wirtz
Deep neural networks have gained tremendous importance in many computer vision tasks. However, their power comes at the cost of large amounts of annotated data required for supervi…
Simitate: A Hybrid Imitation Learning Benchmark
Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib +1
We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning. A dataset containing 1938 sequences where humans perform daily ac…
Trends, Challenges and Adopted Strategies in RoboCup@Home (2019 version)
Mauricio Matamoros, Viktor Seib, Dietrich Paulus
Scientific competitions are crucial in the field of service robotics. They foster knowledge exchange and benchmarking, allowing teams to test their research in unstandardized scena…
Trends, Challenges and Adopted Strategies in RoboCup@Home
Mauricio Matamoros, Viktor Seib, Dietrich Paulus
Scientific competitions are crucial in the field of service robotics. They foster knowledge exchange and allow teams to test their research in unstandardized scenarios and compare…
RoboCup@Home: Summarizing achievements in over eleven years of competition
Mauricio Matamoros, Viktor Seib, Raphael Memmesheimer +1
Scientific competitions are important in robotics because they foster knowledge exchange and allow teams to test their research in unstandardized scenarios and compare result. In t…