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Matthias Humt
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2020 – today
- 2024
- [c6]Elle Miller, Maximilian Durner
, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel:
Unknown Object Grasping for Assistive Robotics. ICRA 2024: 18157-18163 - [i9]Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel:
Unknown Object Grasping for Assistive Robotics. CoRR abs/2404.15001 (2024) - 2023
- [j3]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe
, Rudolph Triebel, Peter Jung
, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu
:
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56(S1): 1513-1589 (2023) - [j2]Jongseok Lee
, Ribin Balachandran
, Konstantin Kondak
, Andre Coelho
, Marco De Stefano
, Matthias Humt
, Jianxiang Feng
, Tamim Asfour
, Rudolph Triebel
:
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics 3(1): 323-367 (2023) - [j1]Maximilian Denninger
, Dominik Winkelbauer
, Martin Sundermeyer
, Wout Boerdijk
, Markus Knauer
, Klaus H. Strobl
, Matthias Humt
, Rudolph Triebel
:
BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. J. Open Source Softw. 8(83): 4901 (2023) - [c5]Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand, Berthold Bäuml:
Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. Humanoids 2023: 1-8 - [c4]Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand:
Shape Completion with Prediction of Uncertain Regions. IROS 2023: 1215-1221 - [i8]Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand:
Shape Completion with Prediction of Uncertain Regions. CoRR abs/2308.00377 (2023) - [i7]Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand, Berthold Bäuml:
Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. CoRR abs/2310.20350 (2023) - 2022
- [c3]Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel:
A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. IROS 2022: 4757-4764 - [i6]Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel:
Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR abs/2210.09678 (2022) - 2021
- [c2]Jongseok Lee, Jianxiang Feng
, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel:
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL 2021: 1168-1179 - [i5]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu:
A Survey of Uncertainty in Deep Neural Networks. CoRR abs/2107.03342 (2021) - [i4]Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel:
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR abs/2109.09690 (2021) - 2020
- [c1]Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel:
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML 2020: 5702-5713 - [i3]Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel:
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR abs/2006.11631 (2020) - [i2]Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel:
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. CoRR abs/2007.07630 (2020) - [i1]Matthias Humt
, Jongseok Lee, Rudolph Triebel:
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. CoRR abs/2010.16141 (2020)
Coauthor Index

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