Matthias Humt

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Virtual Reality

Gaussian Process

Top Venues

Artif. Intell. Rev.

Publications

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)
Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel
Unknown Object Grasping for Assistive Robotics. CoRR (2024)
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 (2023)
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)
Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand
Shape Completion with Prediction of Uncertain Regions. CoRR (2023)
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) (2023)
Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand
Shape Completion with Prediction of Uncertain Regions. IROS (2023)
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) (2023)
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) (2023)
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)
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 (2022)
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 (2021)
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 (2021)
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)
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML (2020)
Matthias Humt, Jongseok Lee, Rudolph Triebel
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. CoRR (2020)
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR (2020)
Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. CoRR (2020)