Michael Kaess
9 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(52)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(5)
Optimization & Theory
(5)
Robotics
(4)
Capabilities
(4)
Artificial Intelligence
(3)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Computer Science
(1)
Analysis
(1)
Keywords
pose estimation
(2)
self-supervised learning
(2)
particle filtering
(1)
state estimation
(1)
structure from motion
(1)
visual localization
(1)
pretraining
(1)
neural radiance field
(1)
tactile sensing
(1)
manifold optimization
(1)
robot manipulation
(1)
alternating direction method of multiplier
(1)
energy-based model
(1)
latent space
(1)
end-to-end learning
(1)
distributed optimization
(1)
novel view synthesis
(1)
3d geometry
(1)
point cloud
(1)
probabilistic modeling
(1)
Papers
Self-supervised perception for tactile skin covered dexterous hands
CoRL 2025
Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
CoRL 2025
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping
RSS 2024
Sparsh: Self-supervised touch representations for vision-based tactile sensing
CoRL 2024
Neural Radiance Field with LiDAR maps
ICCV 2023
Long-Term Visual Map Sparsification With Heterogeneous GNN
CVPR 2022
MidasTouch: Monte-Carlo inference over distributions across sliding touch
CoRL 2022
LEO: Learning Energy-based Models in Factor Graph Optimization
CoRL 2021
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance
AAAI 2019