Jongseok Lee

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	Wszystkie	Od 2020
Cytowania	1700	1683
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i10-indeks	12	12

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Rudolph TriebelGerman Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)Zweryfikowany adres z kit.edu
Matthias HumtResearch Scientist (DLR), PhD Candidate (TUM)Zweryfikowany adres z tum.de
Jianxiang FengTUM-Technical University of MunichZweryfikowany adres z tum.de
Xiao Xiang ZhuTechnical University of MunichZweryfikowany adres z tum.de
Ribin BalachandranResearch Engineer, Robotics and Mechatronics Center, German Aerospace Center (DLR)Zweryfikowany adres z dlr.de
Marco De StefanoGerman Aerospace Center (DLR) - Institute of Robotics and MechatronicsZweryfikowany adres z dlr.de
Mirko MeboldtETH Zurich (Swiss Federal Institute of Technology in Zurich)Zweryfikowany adres z meboldt.de
Kim, Min JunKorea Advanced Institute of Science and Technology (KAIST)Zweryfikowany adres z kaist.ac.kr
Tamim AsfourKarlsruhe Institute of Technology (KIT)Zweryfikowany adres z kit.edu
Dominik SchnausTechnical University of MunichZweryfikowany adres z tum.de
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandZweryfikowany adres z ethz.ch
Inkyu SaPrincipal Research Engineer, Tech lead, Tencent, CanberraZweryfikowany adres z global.tencent.com
Thomas StastnyETH ZurichZweryfikowany adres z mavt.ethz.ch
Christian OttAutomation and Control Institute (ACIN), TU Wien // German Aerospace Center (DLR)Zweryfikowany adres z tuwien.ac.at
Antonio FranchiFull Professor, University of Twente & Full Professor, Sapienza University of Rome;Zweryfikowany adres z utwente.nl
Daniel CremersTechnical University of MunichZweryfikowany adres z tum.de
Alin Albu-SchäfferDLR-German Aerospace Center, Institute of Robotics and Mechatronics; TU Munich, Dept. of InformaticsZweryfikowany adres z dlr.de
Philipp OettershagenRUAG Space, formerly Swiss Federal Institute of Technology Zurich (ETH Zurich)

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Jongseok Lee

German Aerospace Center

Zweryfikowany adres z dlr.de - Strona główna

Probabilistic Robotics Uncertainty Quantification Robotic Manipulation


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... Artificial Intelligence Review, 1-77, 2023	1335	2023
Standardized comparison of selected physiological controllers for rotary blood pumps: in vitro study A Petrou, J Lee, S Dual, G Ochsner, M Meboldt, M Schmid Daners Artificial organs 42 (3), E29-E42, 2018	69	2018
Estimating model uncertainty of neural networks in sparse information form J Lee, M Humt, J Feng, R Triebel International Conference on Machine Learning, 5702-5713, 2020	67	2020
Visual-inertial telepresence for aerial manipulation J Lee, R Balachandran, YS Sarkisov, M De Stefano, A Coelho, K Shinde, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 1222-1229, 2020	64	2020
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes J Lee, J Feng, M Humt, MG Müller, R Triebel 5th Annual Conference on Robot Learning, 2021	28	2021
Comparison of Flow Estimators for Rotary Blood Pumps: An In Vitro and In Vivo Study A Petrou, D Kuster, J Lee, M Meboldt, M Schmid Daners Annals of biomedical engineering 46, 2123-2134, 2018	22	2018
Bayesian active learning for sim-to-real robotic perception J Feng, J Lee, M Durner, R Triebel 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	17*	2022
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection M Humt, J Lee, R Triebel 2020 IEEE/RSJ Intelligent Conference on Intelligent Robots and Systems (IROS …, 2020	17	2020
Finally! insights into the arches lunar planetary exploration analogue campaign on etna in summer 2022 A Wedler, MG Müller, M Schuster, M Durner, P Lehner, A Dömel, F Steidle, ... 73rd International Astronautical Congress, IAC 2022, 2022	14	2022
Preliminary results for the multi-robot, multi-partner, multi-mission, planetary exploration analogue campaign on mount etna A Wedler, MG Müller, M Schuster, M Durner, S Brunner, P Lehner, ... Proceedings of the International Astronautical Congress, IAC, 2021	14	2021
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry K Shinde, J Lee, M Humt, A Sezgin, R Triebel Workshop on AI for Autonomous Driving (AIAD), the 37th International …, 2020	14	2020
Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities J Lee, R Balachandran, K Kondak, A Coelho, M De Stefano, M Humt, ... Field Robotics 3, 323-367, 2023	10	2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning J Feng, J Lee, S Geisler, S Gunnemann, R Triebel 7th Annual Conference on Robot Learning, 2023	6	2023
Hierarchical control of redundant aerial manipulators with enhanced field of view A Coelho, YS Sarkisov, J Lee, R Balachandran, A Franchi, K Kondak, ... 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 994-1002, 2021	6	2021
Towards Autonomous Stratospheric Flight: A Generic Global System Identification Framework for Fixed-Wing Platforms J Lee, T Muskardin, CR Pacz, P Oettershagen, T Stastny, I Sa, R Siegwart, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	6	2018
Learning fluid flow visualizations from in-flight images with tufts J Lee, WFJ Olsman, R Triebel IEEE Robotics and Automation Letters 8 (6), 3677-3684, 2023	4	2023
Learning expressive priors for generalization and uncertainty estimation in neural networks D Schnaus, J Lee, D Cremers, R Triebel International Conference on Machine Learning, 30252-30284, 2023	2	2023
Automated Valet Parking enabled by Internet of Things: A pilot site realization and validation at Brainport, the Netherlands LC Touko Tcheumadjeu, E Mathews, A Teerhuis, Q Tang, ... 13th ITS European Congress, 2019	2*	2019
High Fidelity Modelling for High Altitude Long Endurance Solar Powered Aircraft J Lee ETH Zürich, 2017	2	2017
Kronecker-factored optimal curvature D Schnaus, J Lee, R Triebel Bayesian Deep Learning NeurIPS 2021 Workshop, 2021	1	2021

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