Michael Bloesch
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
10
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Learning from negative feedback, or positive feedback or both. | Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Michael Bloesch, Rishabh Joshi, Thomas Lampe, Junhyuk Oh, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller |
| 2024 | ICML | Offline Actor-Critic Reinforcement Learning Scales to Large Models. | Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller |
| 2024 | ICRA | Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. | Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller |
| 2021 | CoRL | Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. | Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess |
| 2020 | CoRL | Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. | Roland Hafner, Tim Hertweck, Philipp Klppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller |
| 2020 | ICRA | Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. | Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison |
| 2019 | BMVC | Matching Features without Descriptors: Implicitly Matched Interest Points. | Titus Cieslewski, Michael Bloesch, Davide Scaramuzza |
| 2019 | CVPR | SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. | Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison |
| 2019 | ICCV | Learning Meshes for Dense Visual SLAM. | Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison |
| 2019 | ICRA | KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. | Charlie Houseago, Michael Bloesch, Stefan Leutenegger |
| 2019 | ICRA | MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. | Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger |
| 2018 | CoRL | Task-Embedded Control Networks for Few-Shot Imitation Learning. | Stephen James, Michael Bloesch, Andrew J. Davison |
| 2018 | CVPR | CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. | Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison |
| 2018 | ECCV | Learning to Solve Nonlinear Least Squares for Monocular Stereo. | Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison |
| 2017 | IROS | Dense RGB-D-inertial SLAM with map deformations. | Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger |
| 2016 | ECCV | gvnn: Neural Network Library for Geometric Computer Vision. | Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison |
| 2016 | FUSION | An open source, fiducial based, visual-inertial motion capture system. | Michael Neunert, Michael Bloesch, Jonas Buchli |
| 2016 | IROS | Generalized information filtering for MAV parameter estimation. | Michael Burri, Michael Bloesch, Dominik Schindler, Igor Gilitschenski, Zachary Taylor, Roland Siegwart |
| 2016 | IROS | Collaborative navigation for flying and walking robots. | Peter Fankhauser, Michael Bloesch, Philipp Krusi, Remo Diethelm, Martin Wermelinger, Thomas Schneider, Marcin Dymczyk, Marco Hutter, Roland Siegwart |
| 2016 | IROS | ANYmal - a highly mobile and dynamic quadrupedal robot. | Marco Hutter, Christian Gehring, Dominic Jud, Andreas Lauber, C. Dario Bellicoso, Vassilios Tsounis, Jemin Hwangbo, Karen Bodie, Peter Fankhauser, Michael Bloesch, Remo Diethelm, Samuel Bachmann, Amir Melzer, Mark A. Hpflinger |