Eisenbach, Markus
- Few-Shot Object Detection: A Comprehensive Survey
2021/12/22 by Mona Köhler, Köhler, Mona, Markus Eisenbach +3 · 5 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- ATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding
2023/04/17 by Dustin Aganian, Aganian, Dustin, Benedict Stephan +7 · 6 citations
Computer Science · #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Hand Gesture Recognition Systems
- Predicting the phase stability of multi-component high entropy compounds
2020/06/19 by Pitike, Krishna Chaitanya, KC, Santosh, Eisenbach, Markus +2 · 3 citations
#FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Tuning Fermi Levels in Intrinsic Antiferromagnetic Topological Insulators MnBi2Te4 and MnBi4Te7 by Defect Engineering and Chemical Doping
2020/06/28 by Du, Mao-Hua, Yan, Jiaqiang, Cooper, Valentino R. +1 · 2 citations
#FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: a data-driven approach
2020/11/02 by Liu, Xianglin, Zhang, Jiaxin, Yin, Junqi +3 · 2 citations
#FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Replica-exchange Wang-Landau sampling: Pushing the limits of Monte Carlo simulations in materials sciences
2014/11/16 by Dilina Perera, Ying Wai Li, Perera, Dilina +7 · 1 citation
Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Physics of Superconductivity and Magnetism #Theoretical and Computational Physics
- How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks
2023/06/09 by Dustin Aganian, Aganian, Dustin, Mona Köhler +7 · 2 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotics (cs.RO)
- Robust data-driven approach for predicting the configurational energy of high entropy alloys
2019/08/10 by Jiaxin Zhang, Zhang, Jiaxin, Xianglin Liu +9 · 1 citation
Engineering · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Entropy Alloys Studies #High Temperature Alloys and Creep #Machine Learning (stat.ML) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Experiences Readying Applications for Exascale
2023/10/02 by Bauman, Paul T., Budiardja, Reuben D., Bykov, Dmytro +29 · 1 citation
#Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)