Matthias Humt - RankMe

19 papers A* 2A 2Misc 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image. CoRR Matthias Humt, Ulrich Hillenbrand, Rudolph Triebel
2024	A*	`conf`	Unknown Object Grasping for Assistive Robotics. ICRA Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel
2024	J	`jnl`	Unknown Object Grasping for Assistive Robotics. CoRR Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel
2023	J	`jnl`	A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 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
2023	J	`jnl`	BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. J. Open Source Softw. Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Knauer, Klaus H. Strobl, Matthias Humt, Rudolph Triebel
2023	—	`conf`	Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. Humanoids Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand, Berthold Bäuml
2023	J	`jnl`	Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. CoRR Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand, Berthold Bäuml
2023	A	`conf`	Shape Completion with Prediction of Uncertain Regions. IROS Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand
2023	J	`jnl`	Shape Completion with Prediction of Uncertain Regions. CoRR Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand
2023	J	`jnl`	Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. Field Robotics Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
2022	A	`conf`	A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. IROS Dominik Winkelbauer, Berthold Bäuml, Matthias Humt, Nils Thuerey, Rudolph Triebel
2022	J	`jnl`	Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities. CoRR Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel
2021	J	`jnl`	A Survey of Uncertainty in Deep Neural Networks. CoRR 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
2021	Misc	`conf`	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRL Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
2021	J	`jnl`	Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes. CoRR Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Gerhard Müller, Rudolph Triebel
2020	J	`jnl`	Bayesian Optimization Meets Laplace Approximation for Robotic Introspection. CoRR Matthias Humt, Jongseok Lee, Rudolph Triebel
2020	A*	`conf`	Estimating Model Uncertainty of Neural Networks in Sparse Information Form. ICML Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
2020	J	`jnl`	Estimating Model Uncertainty of Neural Networks in Sparse Information Form. CoRR Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel
2020	J	`jnl`	Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry. CoRR Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel