| 2025 | IROS | Acoustic Neural 3D Reconstruction Under Pose Drift. | Tianxiang Lin, Mohamad Qadri, Kevin Zhang, Adithya Pediredla, Christopher A. Metzler, Michael Kaess |
| 2025 | IROS | A Comprehensive Evaluation of LiDAR Odometry Techniques. | Easton R. Potokar, Michael Kaess |
| 2024 | CoRL | Sparsh: Self-supervised touch representations for vision-based tactile sensing. | Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam |
| 2024 | ICRA | SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. | Samiran Gode, Akshay Hinduja, Michael Kaess |
| 2024 | ICRA | Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. | Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess |
| 2024 | ICRA | Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. | Daniel McGann, Kyle Lassak, Michael Kaess |
| 2024 | ICRA | Learning Covariances for Estimation with Constrained Bilevel Optimization. | Mohamad Qadri, Zachary Manchester, Michael Kaess |
| 2024 | IROS | BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. | Lihong Jin, Wei Dong, Wenshan Wang, Michael Kaess |
| 2024 | IROS | BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. | Christopher Klammer, Michael Kaess |
| 2024 | IROS | A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. | Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman |
| 2024 | SIGGRAPH | AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. | Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler |
| 2023 | ICCV | Neural Radiance Fields with LiDAR Maps. | Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey |
| 2023 | ICRA | Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. | Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess |
| 2023 | ICRA | Robust Incremental Smoothing and Mapping (riSAM). | Daniel McGann, John G. Rogers, Michael Kaess |
| 2023 | ICRA | Neural Implicit Surface Reconstruction using Imaging Sonar. | Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas |
| 2023 | ICRA | Efficient Bundle Adjustment for Coplanar Points and Lines. | Lipu Zhou, Jiacheng Liu, Fengguang Zhai, Pan Ai, Kefei Ren, Yinian Mao, Guoquan Huang, Ziyang Meng, Michael Kaess |
| 2022 | CoRL | MidasTouch: Monte-Carlo inference over distributions across sliding touch. | Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam |
| 2022 | CVPR | Long-term Visual Map Sparsification with Heterogeneous GNN. | Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey |
| 2022 | ICRA | GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration. | Yehonathan Litman, Daniel McGann, Eric Dexheimer, Michael Kaess |
| 2022 | ICRA | HoloOcean: An Underwater Robotics Simulator. | Easton R. Potokar, Spencer Ashford, Michael Kaess, Joshua G. Mangelson |
| 2022 | IROS | Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. | Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson |
| 2022 | IROS | Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. | Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess |
| 2022 | IROS | HoloOcean: Realistic Sonar Simulation. | Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B. Neilsen, Michael Kaess, Joshua G. Mangelson |
| 2022 | IROS | InCOpt: Incremental Constrained Optimization using the Bayes Tree. | Mohamad Qadri, Paloma Sodhi, Joshua G. Mangelson, Frank Dellaert, Michael Kaess |
| 2022 | IROS | Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. | Ruoyang Xu, Wei Dong, Akash Sharma, Michael Kaess |
| 2022 | ICRA | PatchGraph: In-hand tactile tracking with learned surface normals. | Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson |
| 2022 | ICRA | ShapeMap 3-D: Efficient shape mapping through dense touch and vision. | Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess |
| 2022 | ICRA | EDPLVO: Efficient Direct Point-Line Visual Odometry. | Lipu Zhou, Guoquan Huang, Yinian Mao, Shengze Wang, Michael Kaess |
| 2021 | CoRL | LEO: Learning Energy-based Models in Factor Graph Optimization. | Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess |
| 2021 | ICRA | A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. | Montiel Abello, Joshua G. Mangelson, Michael Kaess |
| 2021 | ICRA | HyperMap: Compressed 3D Map for Monocular Camera Registration. | Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey |
| 2021 | IROS | Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. | Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess |
| 2021 | IROS | Map Compressibility Assessment for LiDAR Registration. | Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey |
| 2021 | ICRA | Compositional and Scalable Object SLAM. | Akash Sharma, Wei Dong, Michael Kaess |
| 2021 | ICRA | Learning Tactile Models for Factor Graph-based Estimation. | Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson |
| 2021 | ICRA | Tactile SLAM: Real-time inference of shape and pose from planar pushing. | Sudharshan Suresh, Maria Bauz, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess |
| 2021 | ICRA | π-LSAM: LiDAR Smoothing and Mapping With Planes. | Lipu Zhou, Shengze Wang, Michael Kaess |
| 2021 | WAFR | Characterizing Marginalization and Incremental Operations on the Bayes Tree. | Dehann Fourie, Antonio Tern Espinoza, Michael Kaess, John J. Leonard |
| 2020 | IROS | Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. | Eric Dexheimer, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess |
| 2020 | IROS | ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. | Ming Hsiao, Joshua G. Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess |
| 2020 | IROS | A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. | Joshua Jaekel, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess |
| 2020 | IROS | Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. | Vaibhav K. Viswanathan, Eric Dexheimer, Guanrui Li, Giuseppe Loianno, Michael Kaess, Sebastian A. Scherer |
| 2020 | IROS | A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction. | Eric Westman, Ioannis Gkioulekas, Michael Kaess |
| 2020 | ICRA | ICS: Incremental Constrained Smoothing for State Estimation. | Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess |
| 2020 | ICRA | Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. | Sudharshan Suresh, Paloma Sodhi, Joshua G. Mangelson, David Wettergreen, Michael Kaess |
| 2020 | ICRA | A Volumetric Albedo Framework for 3D Imaging Sonar Reconstruction. | Eric Westman, Ioannis Gkioulekas, Michael Kaess |
| 2020 | ICRA | A Fast and Accurate Solution for Pose Estimation from 3D Correspondences. | Lipu Zhou, Shengze Wang, Michael Kaess |
| 2020 | ISMAR | An Efficient Planar Bundle Adjustment Algorithm. | Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrcker, Michael Kaess |
| 2019 | AAAI | A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. | Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess |
| 2019 | ICRA | MH-iSAM2: Multi-hypothesis iSAM using Bayes Tree and Hypo-tree. | Ming Hsiao, Michael Kaess |
| 2019 | ICRA | Dense Surface Reconstruction from Monocular Vision and LiDAR. | Zimo Li, Prakruti C. Gogia, Michael Kaess |
| 2019 | ICRA | Multi-view Reconstruction of Wires using a Catenary Model. | Ratnesh Madaan, Michael Kaess, Sebastian A. Scherer |
| 2019 | IROS | GPU Accelerated Robust Scene Reconstruction. | Wei Dong, Jaesik Park, Yi Yang, Michael Kaess |
| 2019 | IROS | Degeneracy-Aware Factors with Applications to Underwater SLAM. | Akshay Hinduja, Bing-Jui Ho, Michael Kaess |
| 2019 | IROS | Online and Consistent Occupancy Grid Mapping for Planning in Unknown Environments. | Paloma Sodhi, Bing-Jui Ho, Michael Kaess |
| 2019 | IROS | Dense, Sonar-based Reconstruction of Underwater Scenes. | Pedro V. Teixeira, Dehann Fourie, Michael Kaess, John J. Leonard |
| 2019 | IROS | Wide Aperture Imaging Sonar Reconstruction using Generative Models. | Eric Westman, Michael Kaess |
| 2019 | IROS | An Efficient and Accurate Algorithm for the Perspecitve-n-Point Problem. | Lipu Zhou, Michael Kaess |
| 2019 | ICRA | Surfel-Based Dense RGB-D Reconstruction With Global And Local Consistency. | Yi Yang, Wei Dong, Michael Kaess |
| 2018 | ACCV | A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. | Lipu Zhou, Jiamin Ye, Michael Kaess |
| 2018 | ICRA | Dense Planar-Inertial SLAM with Structural Constraints. | Ming Hsiao, Eric Westman, Michael Kaess |
| 2018 | IROS | Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. | Bing-Jui Ho, Paloma Sodhi, Pedro Teixeira, Ming Hsiao, Tushar Kusnur, Michael Kaess |
| 2018 | IROS | Information Sparsification in Visual-Inertial Odometry. | Jerry Hsiung, Ming Hsiao, Eric Westman, Rafael Valencia, Michael Kaess |
| 2018 | IROS | Multibeam Data Processing for Underwater Mapping. | Pedro V. Teixeira, Franz S. Hover, John J. Leonard, Michael Kaess |
| 2018 | IROS | Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences. | Lipu Zhou, Zimo Li, Michael Kaess |
| 2018 | ICRA | Feature-Based SLAM for Imaging Sonar with Under-Constrained Landmarks. | Eric Westman, Akshay Hinduja, Michael Kaess |
| 2017 | ICRA | Keyframe-based dense planar SLAM. | Ming Hsiao, Eric Westman, Guofeng Zhang, Michael Kaess |
| 2017 | ICRA | The manifold particle filter for state estimation on high-dimensional implicit manifolds. | Michael C. Koval, Matthew Klingensmith, Siddhartha S. Srinivasa, Nancy S. Pollard, Michael Kaess |
| 2017 | IROS | GravityFusion: Real-time dense mapping without pose graph using deformation and orientation. | Puneet Puri, Daoyuan Jia, Michael Kaess |
| 2017 | ICRA | Robust stereo matching with surface normal prediction. | Shuangli Zhang, Weijian Xie, Guofeng Zhang, Hujun Bao, Michael Kaess |
| 2016 | IROS | A nonparametric belief solution to the Bayes tree. | Dehann Fourie, John J. Leonard, Michael Kaess |
| 2016 | IROS | Long-range GPS-denied aerial inertial navigation with LIDAR localization. | Garrett Hemann, Sanjiv Singh, Michael Kaess |
| 2016 | IROS | Incremental data association for acoustic structure from motion. | Tiffany A. Huang, Michael Kaess |
| 2016 | IROS | Underwater inspection using sonar-based volumetric submaps. | Pedro V. Teixeira, Michael Kaess, Franz S. Hover, John J. Leonard |
| 2016 | IROS | Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments. | Shichao Yang, Yu Song, Michael Kaess, Sebastian A. Scherer |
| 2016 | ICRA | On degeneracy of optimization-based state estimation problems. | Ji Zhang, Michael Kaess, Sanjiv Singh |
| 2015 | ICRA | Simultaneous localization and mapping with infinite planes. | Michael Kaess |
| 2015 | ICRA | Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar. | Paul Ozog, Giancarlo Troni, Michael Kaess, Ryan M. Eustice, Matthew Johnson-Roberson |
| 2015 | IROS | Towards acoustic structure from motion for imaging sonar. | Tiffany A. Huang, Michael Kaess |
| 2015 | IROS | Bridging text spotting and SLAM with junction features. | Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard |
| 2014 | ICRA | Efficient incremental map segmentation in dense RGB-D maps. | Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard |
| 2014 | ICRA | Towards consistent visual-inertial navigation. | Guoquan Huang, Michael Kaess, John J. Leonard |
| 2014 | IROS | Real-time depth enhanced monocular odometry. | Ji Zhang, Michael Kaess, Sanjiv Singh |
| 2013 | ICASSP | Analytically-selected multi-hypothesis incremental MAP estimation. | Guoquan Huang, Michael Kaess, John J. Leonard, Stergios I. Roumeliotis |
| 2013 | ICRA | Temporally scalable visual SLAM using a reduced pose graph. | Hordur Johannsson, Michael Kaess, Maurice F. Fallon, John J. Leonard |
| 2013 | ICRA | Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. | David M. Rosen, Michael Kaess, John J. Leonard |
| 2013 | IROS | Deformation-based loop closure for large scale dense RGB-D SLAM. | Thomas Whelan, Michael Kaess, John J. Leonard, John McDonald |
| 2013 | ICRA | Robust real-time visual odometry for dense RGB-D mapping. | Thomas Whelan, Hordur Johannsson, Michael Kaess, John J. Leonard, John McDonald |
| 2012 | FUSION | Factor graph based incremental smoothing in inertial navigation systems. | Vadim Indelman, Stephen Williams, Michael Kaess, Frank Dellaert |
| 2012 | FUSION | Concurrent filtering and smoothing. | Michael Kaess, Stephen Williams, Vadim Indelman, Richard Roberts, John J. Leonard, Frank Dellaert |
| 2012 | ICRA | An incremental trust-region method for Robust online sparse least-squares estimation. | David M. Rosen, Michael Kaess, John J. Leonard |
| 2012 | IROS | Dynamic pose graph SLAM: Long-term mapping in low dynamic environments. | Aisha Walcott-Bryant, Michael Kaess, Hordur Johannsson, John J. Leonard |
| 2011 | ICRA | Efficient AUV navigation fusing acoustic ranging and side-scan sonar. | Maurice F. Fallon, Michael Kaess, Hordur Johannsson, John J. Leonard |
| 2011 | ICRA | iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. | Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert |
| 2010 | ICRA | Multiple relative pose graphs for robust cooperative mapping. | Been Kim, Michael Kaess, Luke Fletcher, John J. Leonard, Abraham Bachrach, Nicholas Roy, Seth J. Teller |
| 2010 | IROS | Imaging sonar-aided navigation for autonomous underwater harbor surveillance. | Hordur Johannsson, Michael Kaess, Brendan J. Englot, Franz Hover, John J. Leonard |
| 2010 | WAFR | The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping. | Michael Kaess, Viorela Ila, Richard Roberts, Frank Dellaert |
| 2009 | ICRA | Flow separation for fast and robust stereo odometry. | Michael Kaess, Kai Ni, Frank Dellaert |
| 2008 | ICRA | Place recognition-based fixed-lag smoothing for environments with unreliable GPS. | Roozbeh Mottaghi, Michael Kaess, Ananth Ranganathan, Richard Roberts, Frank Dellaert |
| 2007 | IJCAI | Fast Incremental Square Root Information Smoothing. | Michael Kaess, Ananth Ranganathan, Frank Dellaert |
| 2007 | IJCAI | Loopy SAM. | Ananth Ranganathan, Michael Kaess, Frank Dellaert |
| 2007 | ICRA | iSAM: Fast Incremental Smoothing and Mapping with Efficient Data Association. | Michael Kaess, Ananth Ranganathan, Frank Dellaert |
| 2007 | IROS | Fast 3D pose estimation with out-of-sequence measurements. | Ananth Ranganathan, Michael Kaess, Frank Dellaert |
| 2005 | ICRA | A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM. | Michael Kaess, Frank Dellaert |
| 2004 | ECCV | MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points. | Michael Kaess, Rafal Zboinski, Frank Dellaert |
| 2002 | ICRA | Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning. | Maxim Likhachev, Michael Kaess, Ronald C. Arkin |