Michael Kaess

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 120

Top Venues

ICRA

CoRR

IROS

IEEE Robotics Autom. Lett.

Publications

Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess
Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. ICRA (2024)
Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. CoRR (2024)
Lihong Jin, Wei Dong, Michael Kaess
BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. CoRR (2024)
Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. CoRR (2024)
Samiran Gode, Akshay Hinduja, Michael Kaess
SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. ICRA (2024)
Daniel McGann, Michael Kaess
iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. CoRR (2024)
Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. CoRR (2024)
Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. SIGGRAPH (Conference Paper Track) (2024)
Daniel McGann, Kyle Lassak, Michael Kaess
Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. ICRA (2024)
Mohamad Qadri, Zachary Manchester, Michael Kaess
Learning Covariances for Estimation with Constrained Bilevel Optimization. ICRA (2024)
Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess
Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. CoRR (2023)
Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson
Group-k consistent measurement set maximization via maximum clique over k-Uniform hypergraphs for robust multi-robot map merging. CoRR (2023)
Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas
Neural Implicit Surface Reconstruction using Imaging Sonar. ICRA (2023)
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR (2023)
Daniel McGann, Kyle Lassak, Michael Kaess
Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. CoRR (2023)
Mohamad Qadri, Michael Kaess
Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation. CoRR (2023)
Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey
Neural Radiance Fields with LiDAR Maps. ICCV (2023)
Lipu Zhou, Jiacheng Liu, Fengguang Zhai, Pan Ai, Kefei Ren, Yinian Mao, Guoquan Huang, Ziyang Meng, Michael Kaess
Efficient Bundle Adjustment for Coplanar Points and Lines. ICRA (2023)
Mohamad Qadri, Zachary Manchester, Michael Kaess
Learning Covariances for Estimation with Constrained Bilevel Optimization. CoRR (2023)
Samiran Gode, Akshay Hinduja, Michael Kaess
SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. CoRR (2023)
Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess
Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. ICRA (2023)
Daniel McGann, John G. Rogers, Michael Kaess
Robust Incremental Smoothing and Mapping (riSAM). ICRA (2023)
Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson
Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. IROS (2022)
Lipu Zhou, Guoquan Huang, Yinian Mao, Jincheng Yu, Shengze Wang, Michael Kaess
$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. IEEE Robotics Autom. Lett. 7 (3) (2022)
Bardienus Pieter Duisterhof, Yaoyu Hu, Si Heng Teng, Michael Kaess, Sebastian Scherer
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags. CoRR (2022)
Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess
Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. CoRR (2022)
Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess
ShapeMap 3-D: Efficient shape mapping through dense touch and vision. ICRA (2022)
Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
Long-term Visual Map Sparsification with Heterogeneous GNN. CoRR (2022)
Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson
Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. CoRR (2022)
Easton R. Potokar, Spencer Ashford, Michael Kaess, Joshua G. Mangelson
HoloOcean: An Underwater Robotics Simulator. ICRA (2022)
Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
Long-term Visual Map Sparsification with Heterogeneous GNN. CVPR (2022)
Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess
Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. CoRR (2022)
Paloma Sodhi, Michael Kaess, Mustafa Mukadanr, Stuart Anderson
PatchGraph: In-hand tactile tracking with learned surface normals. ICRA (2022)
Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas
Neural Implicit Surface Reconstruction using Imaging Sonar. CoRR (2022)
Lipu Zhou, Guoquan Huang, Yinian Mao, Shengze Wang, Michael Kaess
EDPLVO: Efficient Direct Point-Line Visual Odometry. ICRA (2022)
Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess
Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. IROS (2022)
Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B. Neilsen, Michael Kaess, Joshua G. Mangelson
HoloOcean: Realistic Sonar Simulation. IROS (2022)
Mohamad Qadri, Paloma Sodhi, Joshua G. Mangelson, Frank Dellaert, Michael Kaess
InCOpt: Incremental Constrained Optimization using the Bayes Tree. IROS (2022)
Daniel McGann, John G. Rogers III, Michael Kaess
Robust Incremental Smoothing and Mapping (riSAM). CoRR (2022)
Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam
MidasTouch: Monte-Carlo inference over distributions across sliding touch. CoRR (2022)
Eric Dexheimer, Patrick Peluse, Jianhui Chen, James Pritts, Michael Kaess
Information-Theoretic Online Multi-Camera Extrinsic Calibration. IEEE Robotics Autom. Lett. 7 (2) (2022)
Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam
MidasTouch: Monte-Carlo inference over distributions across sliding touch. CoRL (2022)
Ruoyang Xu, Wei Dong, Akash Sharma, Michael Kaess
Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. IROS (2022)
Yehonathan Litman, Daniel McGann, Eric Dexheimer, Michael Kaess
GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration. ICRA (2022)
Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess
LEO: Learning Energy-based Models in Factor Graph Optimization. CoRL (2021)
Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
PatchGraph: In-hand tactile tracking with learned surface normals. CoRR (2021)
Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
Learning Tactile Models for Factor Graph-based Estimation. ICRA (2021)
Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. CoRR (2021)
Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess
Tactile SLAM: Real-time inference of shape and pose from planar pushing. ICRA (2021)
Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. IROS (2021)
Lipu Zhou, Shengze Wang, Michael Kaess
DPLVO: Direct Point-Line Monocular Visual Odometry. IEEE Robotics Autom. Lett. 6 (4) (2021)
Lipu Zhou, Shengze Wang, Michael Kaess
π-LSAM: LiDAR Smoothing and Mapping With Planes. ICRA (2021)
Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping. CoRR (2021)
Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park
Real-time Registration and Reconstruction with Cylindrical LiDAR Images. CoRR (2021)
Lipu Zhou, Daniel Koppel, Michael Kaess
A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem. IEEE Robotics Autom. Lett. 6 (2) (2021)
Lipu Zhou, Daniel Koppel, Michael Kaess
LiDAR SLAM With Plane Adjustment for Indoor Environment. IEEE Robotics Autom. Lett. 6 (4) (2021)
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR (2021)
Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess
Efficient shape mapping through dense touch and vision. CoRR (2021)
Akash Sharma, Wei Dong, Michael Kaess
Compositional and Scalable Object SLAM. ICRA (2021)
Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey
Map Compressibility Assessment for LiDAR Registration. IROS (2021)
Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess
LEO: Learning Energy-based Models in Graph Optimization. CoRR (2021)
Dehann Fourie, Antonio Terán Espinoza, Michael Kaess, John J. Leonard
Characterizing Marginalization and Incremental Operations on the Bayes Tree. WAFR (2021)
Montiel Abello, Joshua G. Mangelson, Michael Kaess
A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. ICRA (2021)
Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey
HyperMap: Compressed 3D Map for Monocular Camera Registration. ICRA (2021)
Sudharshan Suresh, Paloma Sodhi, Joshua G. Mangelson, David Wettergreen, Michael Kaess
Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. ICRA (2020)
Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess
ICS: Incremental Constrained Smoothing for State Estimation. ICRA (2020)
Eric Dexheimer, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess
Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. IROS (2020)
Ming Hsiao, Joshua G. Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess
ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. IROS (2020)
Eric Westman, Ioannis Gkioulekas, Michael Kaess
A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction. IROS (2020)
Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess
An Efficient Planar Bundle Adjustment Algorithm. ISMAR (2020)
Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess
Tactile SLAM: Real-time inference of shape and pose from planar pushing. CoRR (2020)
Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
Learning Tactile Models for Factor Graph-based State Estimation. CoRR (2020)
Lipu Zhou, Shengze Wang, Michael Kaess
A Fast and Accurate Solution for Pose Estimation from 3D Correspondences. ICRA (2020)
Joshua Jaekel, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess
A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. IROS (2020)
Akash Sharma, Wei Dong, Michael Kaess
Compositional Scalable Object SLAM. CoRR (2020)
Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess
An Efficient Planar Bundle Adjustment Algorithm. CoRR (2020)
Vaibhav K. Viswanathan, Eric Dexheimer, Guanrui Li, Giuseppe Loianno, Michael Kaess, Sebastian A. Scherer
Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. IROS (2020)
Lipu Zhou, Michael Kaess
Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss. IEEE Robotics Autom. Lett. 5 (2) (2020)
Eric Westman, Ioannis Gkioulekas, Michael Kaess
A Volumetric Albedo Framework for 3D Imaging Sonar Reconstruction. ICRA (2020)
Paloma Sodhi, Bing-Jui Ho, Michael Kaess
Online and Consistent Occupancy Grid Mapping for Planning in Unknown Environments. IROS (2019)
Pedro V. Teixeira, Dehann Fourie, Michael Kaess, John J. Leonard
Dense, Sonar-based Reconstruction of Underwater Scenes. IROS (2019)
Shohin Mukherjee, Michael Kaess, Joseph N. Martel, Cameron N. Riviere
EyeSAM: graph-based localization and mapping of retinal vasculature during intraocular microsurgery. Int. J. Comput. Assist. Radiol. Surg. 14 (5) (2019)
Yi Yang, Wei Dong, Michael Kaess
Surfel-Based Dense RGB-D Reconstruction With Global And Local Consistency. ICRA (2019)
Zimo Li, Prakruti C. Gogia, Michael Kaess
Dense Surface Reconstruction from Monocular Vision and LiDAR. ICRA (2019)
Lipu Zhou, Michael Kaess
An Efficient and Accurate Algorithm for the Perspecitve-n-Point Problem. IROS (2019)
Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. AAAI (2019)
Lipu Zhou, Shengze Wang, Jiamin Ye, Michael Kaess
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. CoRR (2019)
Ratnesh Madaan, Michael Kaess, Sebastian A. Scherer
Multi-view Reconstruction of Wires using a Catenary Model. ICRA (2019)
Eric Westman, Michael Kaess
Wide Aperture Imaging Sonar Reconstruction using Generative Models. IROS (2019)
Ming Hsiao, Michael Kaess
MH-iSAM2: Multi-hypothesis iSAM using Bayes Tree and Hypo-tree. ICRA (2019)
Akshay Hinduja, Bing-Jui Ho, Michael Kaess
Degeneracy-Aware Factors with Applications to Underwater SLAM. IROS (2019)
Sudharshan Suresh, Eric Westman, Michael Kaess
Through-Water Stereo SLAM With Refraction Correction for AUV Localization. IEEE Robotics Autom. Lett. 4 (2) (2019)
Wei Dong, Jaesik Park, Yi Yang, Michael Kaess
GPU Accelerated Robust Scene Reconstruction. IROS (2019)
Lipu Zhou, Jiamin Ye, Michael Kaess
A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. ACCV (4) (2018)
Ming Hsiao, Eric Westman, Michael Kaess
Dense Planar-Inertial SLAM with Structural Constraints. ICRA (2018)
Bing-Jui Ho, Paloma Sodhi, Pedro Teixeira, Ming Hsiao, Tushar Kusnur, Michael Kaess
Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. IROS (2018)
Jerry Hsiung, Ming Hsiao, Eric Westman, Rafael Valencia, Michael Kaess
Information Sparsification in Visual-Inertial Odometry. IROS (2018)
Lipu Zhou, Zimo Li, Michael Kaess
Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences. IROS (2018)
Eric Westman, Akshay Hinduja, Michael Kaess
Feature-Based SLAM for Imaging Sonar with Under-Constrained Landmarks. ICRA (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Kaess