Michael Kaess
Identifiers
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Papers (8)
- UNRIO: Uncertainty-Aware Velocity Learning for Radar-Inertial Odometry cs.RO · 2026 · author #4
- TouchAnything: Diffusion-Guided 3D Reconstruction from Sparse Robot Touches cs.CV · 2026 · author #4
- PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation cs.RO · 2026 · author #3
- Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences cs.CV · 2019 · author #4
- Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss cs.CV · 2018 · author #5
- Robust Keyframe-based Dense SLAM with an RGB-D Camera cs.CV · 2017 · author #5
- Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments cs.CV · 2017 · author #3
- The Manifold Particle Filter for State Estimation on High-dimensional Implicit Manifolds cs.RO · 2016 · author #5
Mentions
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Frequent Coauthors
- Jiamin Ye 2 shared papers
- Lipu Zhou 2 shared papers
- Shengze Wang 2 shared papers
- Akash Sharma 1 shared papers
- Anthony Rowe 1 shared papers
- Chen Li 1 shared papers
- Francois R Hogan 1 shared papers
- Guofeng Zhang 1 shared papers
- Guojun Chen 1 shared papers
- Haomin Liu 1 shared papers
- Hujun Bao 1 shared papers
- Hung-Jui Huang 1 shared papers
- Jitendra Malik 1 shared papers
- Jui-Te Huang 1 shared papers
- Langzhe Gu 1 shared papers
- Matthew Klingensmith 1 shared papers
- Michael C. Koval 1 shared papers
- Mohamad Qadri 1 shared papers
- Montiel Abello 1 shared papers
- Mustafa Mukadam 1 shared papers