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20112026
most citedLearning robust perceptive locomotion for quadrupedal robots in the wild

793 citations

Showing 2018Show all

18 papers · 1 filter

cs.OH2018★ 2 cited

Design paradigms of intelligent control systems on a chip

K. M. Deliparaschos, S. G. Tzafestas

This paper focuses on the Field Programmable Gate Array (FPGA) design and implementation of intelligent control system applications on a chip, specifically fuzzy logic and genetic…

cs.CV2018★ 7 cited

Fast Object Detection in Compressed Video

Shiyao Wang, Hongchao Lu, Zhidong Deng

Object detection in videos has drawn increasing attention since it is more practical in real scenarios. Most of the deep learning methods use CNNs to process each decoded frame in…

cs.LG2018

Label Propagation for Learning with Label Proportions

Rafael Poyiadzi, Raul Santos-Rodriguez, Niall Twomey

Learning with Label Proportions (LLP) is the problem of recovering the underlying true labels given a dataset when the data is presented in the form of bags. This paradigm is parti…

cs.RO2018

Team NimbRo at MBZIRC 2017: Autonomous Valve Stem Turning using a Wrench

Max Schwarz, David Droeschel, Christian Lenz +7

The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has defined ambitious new benchmarks to advance the state-of-the-art in autonomous operation of ground-based an…

cs.LG2018★ 16 cited

Relaxed Quantization for Discretized Neural Networks

Christos Louizos, Matthias Reisser, Tijmen Blankevoort +2

Neural network quantization has become an important research area due to its great impact on deployment of large models on resource constrained devices. In order to train networks…

cs.CV2018

Using phase instead of optical flow for action recognition

Omar Hommos, Silvia L. Pintea, Pascal S. M. Mettes +1

Currently, the most common motion representation for action recognition is optical flow. Optical flow is based on particle tracking which adheres to a Lagrangian perspective on dyn…