Michael Kaess - RankMe

199 papers A* 55A 40C 4Misc 4Journal 84Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation. CoRR Rosy Chen, Mustafa Mukadam, Michael Kaess, Tingfan Wu, Francois Robert Hogan, Jitendra Malik, Akash Sharma
2026	J	`jnl`	riMESA: Consensus ADMM for Real-World Collaborative SLAM. CoRR Daniel McGann, Michael Kaess
2025	A	`conf`	A Comprehensive Evaluation of LiDAR Odometry Techniques. IROS Easton R. Potokar, Michael Kaess
2025	J	`jnl`	A Comprehensive Evaluation of LiDAR Odometry Techniques. CoRR Easton R. Potokar, Michael Kaess
2025	A	`conf`	Acoustic Neural 3D Reconstruction Under Pose Drift. IROS Tianxiang Lin, Mohamad Qadri, Kevin Zhang, Adithya Pediredla, Christopher A. Metzler, Michael Kaess
2025	J	`jnl`	Acoustic Neural 3D Reconstruction Under Pose Drift. CoRR Tianxiang Lin, Mohamad Qadri, Kevin Zhang, Adithya Pediredla, Christopher A. Metzler, Michael Kaess
2025	J	`jnl`	COSMO-Bench: A Benchmark for Collaborative SLAM Optimization. CoRR Daniel McGann, Easton R. Potokar, Michael Kaess
2025	J	`jnl`	FORM: Fixed-Lag Odometry with Reparative Mapping utilizing Rotating LiDAR Sensors. CoRR Easton R. Potokar, Taylor Pool, Daniel McGann, Michael Kaess
2025	J	`jnl`	GelSLAM: A Real-time, High-Fidelity, and Robust 3D Tactile SLAM System. CoRR Hung-Jui Huang, Mohammad Amin Mirzaee, Michael Kaess, Wenzhen Yuan
2025	J	`jnl`	NormalFlow: Fast, Robust, and Accurate Contact-Based Object 6DoF Pose Tracking With Vision-Based Tactile Sensors. IEEE Robotics Autom. Lett. Hung-Jui Huang, Michael Kaess, Wenzhen Yuan
2025	J	`jnl`	Self-supervised perception for tactile skin covered dexterous hands. CoRR Akash Sharma, Carolina Higuera, Chaithanya Krishna Bodduluri, Zixi Liu, Taosha Fan, Tess Hellebrekers, Mike Lambeta, Byron Boots, Michael Kaess, Tingfan Wu, Francois Robert Hogan, Mustafa Mukadam
2025	J	`jnl`	Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation. CoRR Carolina Higuera, Akash Sharma, Taosha Fan, Chaithanya Krishna Bodduluri, Byron Boots, Michael Kaess, Mike Lambeta, Tingfan Wu, Zixi Liu, Francois Robert Hogan, Mustafa Mukadam
2025	J	`jnl`	Your Learned Constraint is Secretly a Backward Reachable Tube. CoRR Mohamad Qadri, Gokul Swamy, Jonathan Francis, Michael Kaess, Andrea Bajcsy
2025	J	`jnl`	Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. IEEE Trans. Pattern Anal. Mach. Intell. Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla
2024	A	`conf`	A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. IROS Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman
2024	J	`jnl`	A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. CoRR Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman
2024	—	`conf`	AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. SIGGRAPH (Conference Paper Track) Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler
2024	J	`jnl`	AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. CoRR Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler
2024	A*	`conf`	Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. ICRA Daniel McGann, Kyle Lassak, Michael Kaess
2024	A	`conf`	BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. IROS Christopher Klammer, Michael Kaess
2024	J	`jnl`	BEVLoc: Cross-View Localization and Matching via Birds-Eye-View Synthesis. CoRR Christopher Klammer, Michael Kaess
2024	A	`conf`	BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. IROS Lihong Jin, Wei Dong, Wenshan Wang, Michael Kaess
2024	J	`jnl`	BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. CoRR Lihong Jin, Wei Dong, Michael Kaess
2024	J	`jnl`	Group- Int. J. Robotics Res. Brendon Forsgren, Michael Kaess, Ram Vasudevan, Timothy W. McLain, Joshua G. Mangelson
2024	A*	`conf`	Learning Covariances for Estimation with Constrained Bilevel Optimization. ICRA Mohamad Qadri, Zachary Manchester, Michael Kaess
2024	J	`jnl`	LiPO: LiDAR Inertial Odometry for ICP Comparison. CoRR Darwin Mick, Taylor Pool, Madankumar Sathenahally Nagaraju, Michael Kaess, Howie Choset, Matthew J. Travers
2024	A*	`conf`	Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. ICRA Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess
2024	J	`jnl`	NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. Sci. Robotics Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2024	J	`jnl`	NormalFlow: Fast, Robust, and Accurate Contact-based Object 6DoF Pose Tracking with Vision-based Tactile Sensors. CoRR Hung-Jui Huang, Michael Kaess, Wenzhen Yuan
2024	J	`jnl`	Robust Preintegrated Wheel Odometry for Off-Road Autonomous Ground Vehicles. IEEE Robotics Autom. Lett. Easton R. Potokar, Daniel McGann, Michael Kaess
2024	A*	`conf`	SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. ICRA Samiran Gode, Akshay Hinduja, Michael Kaess
2024	Misc	`conf`	Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRL Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam
2024	J	`jnl`	Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam
2024	J	`jnl`	Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. CoRR Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla
2024	—	`conf`	iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. Robotics: Science and Systems Daniel McGann, Michael Kaess
2024	J	`jnl`	iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. CoRR Daniel McGann, Michael Kaess
2023	J	`jnl`	ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
2023	J	`jnl`	Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. CoRR Daniel McGann, Kyle Lassak, Michael Kaess
2023	A*	`conf`	Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. ICRA Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess
2023	A*	`conf`	Efficient Bundle Adjustment for Coplanar Points and Lines. ICRA Lipu Zhou, Jiacheng Liu, Fengguang Zhai, Pan Ai, Kefei Ren, Yinian Mao, Guoquan Huang, Ziyang Meng, Michael Kaess
2023	J	`jnl`	Group-k consistent measurement set maximization via maximum clique over k-Uniform hypergraphs for robust multi-robot map merging. CoRR Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson
2023	J	`jnl`	Learning Covariances for Estimation with Constrained Bilevel Optimization. CoRR Mohamad Qadri, Zachary Manchester, Michael Kaess
2023	J	`jnl`	Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation. CoRR Mohamad Qadri, Michael Kaess
2023	J	`jnl`	Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. CoRR Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess
2023	A*	`conf`	Neural Implicit Surface Reconstruction using Imaging Sonar. ICRA Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas
2023	A*	`conf`	Neural Radiance Fields with LiDAR Maps. ICCV Ming-fang Chang, Akash Sharma, Michael Kaess, Simon Lucey
2023	J	`jnl`	Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023	A*	`conf`	Robust Incremental Smoothing and Mapping (riSAM). ICRA Daniel McGann, John G. Rogers, Michael Kaess
2023	J	`jnl`	SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. CoRR Samiran Gode, Akshay Hinduja, Michael Kaess
2022	J	`jnl`	$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. IEEE Robotics Autom. Lett. Lipu Zhou, Guoquan Huang, Yinian Mao, Jincheng Yu, Shengze Wang, Michael Kaess
2022	A	`conf`	Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. IROS Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess
2022	J	`jnl`	Acoustic Localization and Communication Using a MEMS Microphone for Low-cost and Low-power Bio-inspired Underwater Robots. CoRR Akshay Hinduja, Yunsik Ohm, Jiahe Liao, Carmel Majidi, Michael Kaess
2022	J	`jnl`	Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. CoRR Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess
2022	A*	`conf`	EDPLVO: Efficient Direct Point-Line Visual Odometry. ICRA Lipu Zhou, Guoquan Huang, Yinian Mao, Shengze Wang, Michael Kaess
2022	A*	`conf`	GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration. ICRA Yehonathan Litman, Daniel McGann, Eric Dexheimer, Michael Kaess
2022	A	`conf`	Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. IROS Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson
2022	J	`jnl`	Group-k Consistent Measurement Set Maximization for Robust Outlier Detection. CoRR Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson
2022	A*	`conf`	HoloOcean: An Underwater Robotics Simulator. ICRA Easton R. Potokar, Spencer Ashford, Michael Kaess, Joshua G. Mangelson
2022	A	`conf`	HoloOcean: Realistic Sonar Simulation. IROS Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B. Neilsen, Michael Kaess, Joshua G. Mangelson
2022	A	`conf`	InCOpt: Incremental Constrained Optimization using the Bayes Tree. IROS Mohamad Qadri, Paloma Sodhi, Joshua G. Mangelson, Frank Dellaert, Michael Kaess
2022	J	`jnl`	Information-Theoretic Online Multi-Camera Extrinsic Calibration. IEEE Robotics Autom. Lett. Eric Dexheimer, Patrick Peluse, Jianhui Chen, James Pritts, Michael Kaess
2022	A	`conf`	Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. IROS Ruoyang Xu, Wei Dong, Akash Sharma, Michael Kaess
2022	A*	`conf`	Long-term Visual Map Sparsification with Heterogeneous GNN. CVPR Ming-fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
2022	J	`jnl`	Long-term Visual Map Sparsification with Heterogeneous GNN. CoRR Ming-fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
2022	Misc	`conf`	MidasTouch: Monte-Carlo inference over distributions across sliding touch. CoRL Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam
2022	J	`jnl`	MidasTouch: Monte-Carlo inference over distributions across sliding touch. CoRR Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam
2022	J	`jnl`	Neural Implicit Surface Reconstruction using Imaging Sonar. CoRR Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas
2022	A*	`conf`	PatchGraph: In-hand tactile tracking with learned surface normals. ICRA Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
2022	J	`jnl`	Robust Incremental Smoothing and Mapping (riSAM). CoRR Daniel McGann, John G. Rogers III, Michael Kaess
2022	A*	`conf`	ShapeMap 3-D: Efficient shape mapping through dense touch and vision. ICRA Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess
2022	J	`jnl`	TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags. CoRR Bardienus Pieter Duisterhof, Yaoyu Hu, Si Heng Teng, Michael Kaess, Sebastian A. Scherer
2021	J	`jnl`	A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem. IEEE Robotics Autom. Lett. Lipu Zhou, Daniel Koppel, Michael Kaess
2021	A*	`conf`	A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. ICRA Montiel Abello, Joshua G. Mangelson, Michael Kaess
2021	J	`jnl`	ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
2021	J	`jnl`	CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping. CoRR Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
2021	C	`conf`	Characterizing Marginalization and Incremental Operations on the Bayes Tree. WAFR Dehann Fourie, Antonio Terán Espinoza, Michael Kaess, John J. Leonard
2021	A*	`conf`	Compositional and Scalable Object SLAM. ICRA Akash Sharma, Wei Dong, Michael Kaess
2021	J	`jnl`	DPLVO: Direct Point-Line Monocular Visual Odometry. IEEE Robotics Autom. Lett. Lipu Zhou, Shengze Wang, Michael Kaess
2021	J	`jnl`	Efficient shape mapping through dense touch and vision. CoRR Sudharshan Suresh, Zilin Si, Joshua G. Mangelson, Wenzhen Yuan, Michael Kaess
2021	A	`conf`	Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. IROS Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
2021	J	`jnl`	Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. CoRR Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess
2021	A*	`conf`	HyperMap: Compressed 3D Map for Monocular Camera Registration. ICRA Ming-fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey
2021	Misc	`conf`	LEO: Learning Energy-based Models in Factor Graph Optimization. CoRL Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess
2021	J	`jnl`	LEO: Learning Energy-based Models in Graph Optimization. CoRR Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess
2021	A*	`conf`	Learning Tactile Models for Factor Graph-based Estimation. ICRA Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
2021	J	`jnl`	LiDAR SLAM With Plane Adjustment for Indoor Environment. IEEE Robotics Autom. Lett. Lipu Zhou, Daniel Koppel, Michael Kaess
2021	A	`conf`	Map Compressibility Assessment for LiDAR Registration. IROS Ming-fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey
2021	J	`jnl`	PatchGraph: In-hand tactile tracking with learned surface normals. CoRR Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
2021	J	`jnl`	Real-time Registration and Reconstruction with Cylindrical LiDAR Images. CoRR Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park
2021	A*	`conf`	Tactile SLAM: Real-time inference of shape and pose from planar pushing. ICRA Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess
2021	A*	`conf`	π-LSAM: LiDAR Smoothing and Mapping With Planes. ICRA Lipu Zhou, Shengze Wang, Michael Kaess
2020	A*	`conf`	A Fast and Accurate Solution for Pose Estimation from 3D Correspondences. ICRA Lipu Zhou, Shengze Wang, Michael Kaess
2020	A	`conf`	A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. IROS Joshua Jaekel, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess
2020	A	`conf`	A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction. IROS Eric Westman, Ioannis Gkioulekas, Michael Kaess
2020	A*	`conf`	A Volumetric Albedo Framework for 3D Imaging Sonar Reconstruction. ICRA Eric Westman, Ioannis Gkioulekas, Michael Kaess
2020	A	`conf`	ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. IROS Ming Hsiao, Joshua G. Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess
2020	A*	`conf`	Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. ICRA Sudharshan Suresh, Paloma Sodhi, Joshua G. Mangelson, David Wettergreen, Michael Kaess
2020	A*	`conf`	An Efficient Planar Bundle Adjustment Algorithm. ISMAR Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess
2020	J	`jnl`	An Efficient Planar Bundle Adjustment Algorithm. CoRR Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess
2020	J	`jnl`	Compositional Scalable Object SLAM. CoRR Akash Sharma, Wei Dong, Michael Kaess
2020	A	`conf`	Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. IROS Eric Dexheimer, Joshua G. Mangelson, Sebastian A. Scherer, Michael Kaess
2020	A	`conf`	Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. IROS Vaibhav K. Viswanathan, Eric Dexheimer, Guanrui Li, Giuseppe Loianno, Michael Kaess, Sebastian A. Scherer
2020	A*	`conf`	ICS: Incremental Constrained Smoothing for State Estimation. ICRA Paloma Sodhi, Sanjiban Choudhury, Joshua G. Mangelson, Michael Kaess
2020	J	`jnl`	Learning Tactile Models for Factor Graph-based State Estimation. CoRR Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
2020	J	`jnl`	Tactile SLAM: Real-time inference of shape and pose from planar pushing. CoRR Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess
2020	J	`jnl`	Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss. IEEE Robotics Autom. Lett. Lipu Zhou, Michael Kaess
2019	A*	`conf`	A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. AAAI Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess
2019	A	`conf`	An Efficient and Accurate Algorithm for the Perspecitve-n-Point Problem. IROS Lipu Zhou, Michael Kaess
2019	A	`conf`	Degeneracy-Aware Factors with Applications to Underwater SLAM. IROS Akshay Hinduja, Bing-Jui Ho, Michael Kaess
2019	A*	`conf`	Dense Surface Reconstruction from Monocular Vision and LiDAR. ICRA Zimo Li, Prakruti C. Gogia, Michael Kaess
2019	A	`conf`	Dense, Sonar-based Reconstruction of Underwater Scenes. IROS Pedro V. Teixeira, Dehann Fourie, Michael Kaess, John J. Leonard
2019	J	`jnl`	Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. CoRR Lipu Zhou, Shengze Wang, Jiamin Ye, Michael Kaess
2019	J	`jnl`	EyeSAM: graph-based localization and mapping of retinal vasculature during intraocular microsurgery. Int. J. Comput. Assist. Radiol. Surg. Shohin Mukherjee, Michael Kaess, Joseph N. Martel, Cameron N. Riviere
2019	A	`conf`	GPU Accelerated Robust Scene Reconstruction. IROS Wei Dong, Jaesik Park, Yi Yang, Michael Kaess
2019	A*	`conf`	MH-iSAM2: Multi-hypothesis iSAM using Bayes Tree and Hypo-tree. ICRA Ming Hsiao, Michael Kaess
2019	A*	`conf`	Multi-view Reconstruction of Wires using a Catenary Model. ICRA Ratnesh Madaan, Michael Kaess, Sebastian A. Scherer
2019	A	`conf`	Online and Consistent Occupancy Grid Mapping for Planning in Unknown Environments. IROS Paloma Sodhi, Bing-Jui Ho, Michael Kaess
2019	A*	`conf`	Surfel-Based Dense RGB-D Reconstruction With Global And Local Consistency. ICRA Yi Yang, Wei Dong, Michael Kaess
2019	J	`jnl`	Through-Water Stereo SLAM With Refraction Correction for AUV Localization. IEEE Robotics Autom. Lett. Sudharshan Suresh, Eric Westman, Michael Kaess
2019	A	`conf`	Wide Aperture Imaging Sonar Reconstruction using Generative Models. IROS Eric Westman, Michael Kaess
2018	—	`conf`	A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. ACCV (4) Lipu Zhou, Jiamin Ye, Michael Kaess
2018	A	`conf`	Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences. IROS Lipu Zhou, Zimo Li, Michael Kaess
2018	A*	`conf`	Dense Planar-Inertial SLAM with Structural Constraints. ICRA Ming Hsiao, Eric Westman, Michael Kaess
2018	A*	`conf`	Feature-Based SLAM for Imaging Sonar with Under-Constrained Landmarks. ICRA Eric Westman, Akshay Hinduja, Michael Kaess
2018	A	`conf`	Information Sparsification in Visual-Inertial Odometry. IROS Jerry Hsiung, Ming Hsiao, Eric Westman, Rafael Valencia, Michael Kaess
2018	A	`conf`	Multibeam Data Processing for Underwater Mapping. IROS Pedro V. Teixeira, Franz S. Hover, John J. Leonard, Michael Kaess
2018	J	`jnl`	Pose-Graph SLAM Using Forward-Looking Sonar. IEEE Robotics Autom. Lett. Jie Li, Michael Kaess, Ryan M. Eustice, Matthew Johnson-Roberson
2018	J	`jnl`	Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss. CoRR Lipu Zhou, Jiamin Ye, Montiel Abello, Shengze Wang, Michael Kaess
2018	A	`conf`	Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. IROS Bing-Jui Ho, Paloma Sodhi, Pedro Teixeira, Ming Hsiao, Tushar Kusnur, Michael Kaess
2017	J	`jnl`	A real-time method for depth enhanced visual odometry. Auton. Robots Ji Zhang, Michael Kaess, Sanjiv Singh
2017	J	`jnl`	Direct Visual Odometry in Low Light Using Binary Descriptors. IEEE Robotics Autom. Lett. Hatem Alismail, Michael Kaess, Brett Browning, Simon Lucey
2017	J	`jnl`	Factor Graphs for Robot Perception. Found. Trends Robotics Frank Dellaert, Michael Kaess
2017	A	`conf`	GravityFusion: Real-time dense mapping without pose graph using deformation and orientation. IROS Puneet Puri, Daoyuan Jia, Michael Kaess
2017	A*	`conf`	Keyframe-based dense planar SLAM. ICRA Ming Hsiao, Eric Westman, Guofeng Zhang, Michael Kaess
2017	J	`jnl`	Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments. CoRR Shichao Yang, Yu Song, Michael Kaess, Sebastian A. Scherer
2017	J	`jnl`	Robust Keyframe-based Dense SLAM with an RGB-D Camera. CoRR Haomin Liu, Chen Li, Guojun Chen, Guofeng Zhang, Michael Kaess, Hujun Bao
2017	A*	`conf`	Robust stereo matching with surface normal prediction. ICRA Shuangli Zhang, Weijian Xie, Guofeng Zhang, Hujun Bao, Michael Kaess
2017	A*	`conf`	The manifold particle filter for state estimation on high-dimensional implicit manifolds. ICRA Michael C. Koval, Matthew Klingensmith, Siddhartha S. Srinivasa, Nancy S. Pollard, Michael Kaess
2016	A	`conf`	A nonparametric belief solution to the Bayes tree. IROS Dehann Fourie, John J. Leonard, Michael Kaess
2016	J	`jnl`	Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM). IEEE Robotics Autom. Lett. Matthew Klingensmith, Siddartha S. Sirinivasa, Michael Kaess
2016	A	`conf`	Incremental data association for acoustic structure from motion. IROS Tiffany A. Huang, Michael Kaess
2016	A	`conf`	Long-range GPS-denied aerial inertial navigation with LIDAR localization. IROS Garrett Hemann, Sanjiv Singh, Michael Kaess
2016	A*	`conf`	On degeneracy of optimization-based state estimation problems. ICRA Ji Zhang, Michael Kaess, Sanjiv Singh
2016	A	`conf`	Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments. IROS Shichao Yang, Yu Song, Michael Kaess, Sebastian A. Scherer
2016	J	`jnl`	The Manifold Particle Filter for State Estimation on High-dimensional Implicit Manifolds. CoRR Matthew Klingensmith, Michael C. Koval, Siddhartha S. Srinivasa, Nancy S. Pollard, Michael Kaess
2016	A	`conf`	Underwater inspection using sonar-based volumetric submaps. IROS Pedro V. Teixeira, Michael Kaess, Franz S. Hover, John J. Leonard
2015	A	`conf`	Bridging text spotting and SLAM with junction features. IROS Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard
2015	A*	`conf`	Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar. ICRA Paul Ozog, Giancarlo Troni, Michael Kaess, Ryan M. Eustice, Matthew Johnson-Roberson
2015	J	`jnl`	Consistent unscented incremental smoothing for multi-robot cooperative target tracking. Robotics Auton. Syst. Guoquan Huang, Michael Kaess, John J. Leonard
2015	J	`jnl`	Real-time large-scale dense RGB-D SLAM with volumetric fusion. Int. J. Robotics Res. Thomas Whelan, Michael Kaess, Hordur Johannsson, Maurice F. Fallon, John J. Leonard, John McDonald
2015	A*	`conf`	Simultaneous localization and mapping with infinite planes. ICRA Michael Kaess
2015	A	`conf`	Towards acoustic structure from motion for imaging sonar. IROS Tiffany A. Huang, Michael Kaess
2014	J	`jnl`	Concurrent filtering and smoothing: A parallel architecture for real-time navigation and full smoothing. Int. J. Robotics Res. Stephen Williams, Vadim Indelman, Michael Kaess, Richard Roberts, John J. Leonard, Frank Dellaert
2014	A*	`conf`	Efficient incremental map segmentation in dense RGB-D maps. ICRA Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard
2014	J	`jnl`	Generic Node Removal for Factor-Graph SLAM. IEEE Trans. Robotics Nicholas Carlevaris-Bianco, Michael Kaess, Ryan M. Eustice
2014	J	`jnl`	RISE: An Incremental Trust-Region Method for Robust Online Sparse Least-Squares Estimation. IEEE Trans. Robotics David M. Rosen, Michael Kaess, John J. Leonard
2014	A	`conf`	Real-time depth enhanced monocular odometry. IROS Ji Zhang, Michael Kaess, Sanjiv Singh
2014	A*	`conf`	Towards consistent visual-inertial navigation. ICRA Guoquan Huang, Michael Kaess, John J. Leonard
2013	Misc	`conf`	Analytically-selected multi-hypothesis incremental MAP estimation. ICASSP Guoquan Huang, Michael Kaess, John J. Leonard, Stergios I. Roumeliotis
2013	J	`jnl`	Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors. J. Aerosp. Inf. Syst. Allen Wu, Eric N. Johnson, Michael Kaess, Frank Dellaert, Girish Chowdhary
2013	—	`conf`	Consistent sparsification for graph optimization. ECMR Guoquan Huang, Michael Kaess, John J. Leonard
2013	A	`conf`	Deformation-based loop closure for large scale dense RGB-D SLAM. IROS Thomas Whelan, Michael Kaess, John J. Leonard, John McDonald
2013	J	`jnl`	Information fusion in navigation systems via factor graph based incremental smoothing. Robotics Auton. Syst. Vadim Indelman, Stephen Williams, Michael Kaess, Frank Dellaert
2013	—	`conf`	Mapping 3D Underwater Environments with Smoothed Submaps. FSR Mark VanMiddlesworth, Michael Kaess, Franz Hover, John J. Leonard
2013	J	`jnl`	Real-time 6-DOF multi-session visual SLAM over large-scale environments. Robotics Auton. Syst. John McDonald, Michael Kaess, Cesar Dario Cadena Lerma, José Neira, John J. Leonard
2013	A*	`conf`	Robust incremental online inference over sparse factor graphs: Beyond the Gaussian case. ICRA David M. Rosen, Michael Kaess, John J. Leonard
2013	A*	`conf`	Robust real-time visual odometry for dense RGB-D mapping. ICRA Thomas Whelan, Hordur Johannsson, Michael Kaess, John J. Leonard, John McDonald
2013	A*	`conf`	Temporally scalable visual SLAM using a reduced pose graph. ICRA Hordur Johannsson, Michael Kaess, Maurice F. Fallon, John J. Leonard
2013	J	`jnl`	The MIT Stata Center dataset. Int. J. Robotics Res. Maurice F. Fallon, Hordur Johannsson, Michael Kaess, John J. Leonard
2013	—	`conf`	Toward lifelong object segmentation from change detection in dense RGB-D maps. ECMR Ross Finman, Thomas Whelan, Michael Kaess, John J. Leonard
2013	—	`conf`	Unscented iSAM: A consistent incremental solution to cooperative localization and target tracking. ECMR Guoquan Huang, Robert Truax, Michael Kaess, John J. Leonard
2012	J	`jnl`	Advanced perception, navigation and planning for autonomous in-water ship hull inspection. Int. J. Robotics Res. Franz S. Hover, Ryan M. Eustice, Ayoung Kim, Brendan J. Englot, Hordur Johannsson, Michael Kaess, John J. Leonard
2012	A*	`conf`	An incremental trust-region method for Robust online sparse least-squares estimation. ICRA David M. Rosen, Michael Kaess, John J. Leonard
2012	C	`conf`	Concurrent filtering and smoothing. FUSION Michael Kaess, Stephen Williams, Vadim Indelman, Richard Roberts, John J. Leonard, Frank Dellaert
2012	A	`conf`	Dynamic pose graph SLAM: Long-term mapping in low dynamic environments. IROS Aisha Walcott-Bryant, Michael Kaess, Hordur Johannsson, John J. Leonard
2012	C	`conf`	Factor graph based incremental smoothing in inertial navigation systems. FUSION Vadim Indelman, Stephen Williams, Michael Kaess, Frank Dellaert
2012	J	`jnl`	iSAM2: Incremental smoothing and mapping using the Bayes tree. Int. J. Robotics Res. Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert
2011	—	`conf`	6-DOF Multi-session Visual SLAM using Anchor Nodes. ECMR John McDonald, Michael Kaess, Cesar Dario Cadena Lerma, José Neira, John J. Leonard
2011	A*	`conf`	Efficient AUV navigation fusing acoustic ranging and side-scan sonar. ICRA Maurice F. Fallon, Michael Kaess, Hordur Johannsson, John J. Leonard
2011	A*	`conf`	iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. ICRA Michael Kaess, Hordur Johannsson, Richard Roberts, Viorela Ila, John J. Leonard, Frank Dellaert
2010	A	`conf`	Imaging sonar-aided navigation for autonomous underwater harbor surveillance. IROS Hordur Johannsson, Michael Kaess, Brendan J. Englot, Franz Hover, John J. Leonard
2010	A*	`conf`	Multiple relative pose graphs for robust cooperative mapping. ICRA Been Kim, Michael Kaess, Luke Fletcher, John J. Leonard, Abraham Bachrach, Nicholas Roy, Seth J. Teller
2010	J	`jnl`	Probabilistic structure matching for visual SLAM with a multi-camera rig. Comput. Vis. Image Underst. Michael Kaess, Frank Dellaert
2010	C	`conf`	The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping. WAFR Michael Kaess, Viorela Ila, Richard Roberts, Frank Dellaert
2009	J	`jnl`	Covariance recovery from a square root information matrix for data association. Robotics Auton. Syst. Michael Kaess, Frank Dellaert
2009	A*	`conf`	Flow separation for fast and robust stereo odometry. ICRA Michael Kaess, Kai Ni, Frank Dellaert
2008	—	`—`	Incremental smoothing and mapping. Michael Kaess
2008	A*	`conf`	Place recognition-based fixed-lag smoothing for environments with unreliable GPS. ICRA Roozbeh Mottaghi, Michael Kaess, Ananth Ranganathan, Richard Roberts, Frank Dellaert
2008	J	`jnl`	iSAM: Incremental Smoothing and Mapping. IEEE Trans. Robotics Michael Kaess, Ananth Ranganathan, Frank Dellaert
2007	A	`conf`	Fast 3D pose estimation with out-of-sequence measurements. IROS Ananth Ranganathan, Michael Kaess, Frank Dellaert
2007	A*	`conf`	Fast Incremental Square Root Information Smoothing. IJCAI Michael Kaess, Ananth Ranganathan, Frank Dellaert
2007	A*	`conf`	Loopy SAM. IJCAI Ananth Ranganathan, Michael Kaess, Frank Dellaert
2007	A*	`conf`	iSAM: Fast Incremental Smoothing and Mapping with Efficient Data Association. ICRA Michael Kaess, Ananth Ranganathan, Frank Dellaert
2006	J	`jnl`	Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing. Int. J. Robotics Res. Frank Dellaert, Michael Kaess
2005	A*	`conf`	A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM. ICRA Michael Kaess, Frank Dellaert
2004	—	`conf`	MCMC-Based Multiview Reconstruction of Piecewise Smooth Subdivision Curves with a Variable Number of Control Points. ECCV (3) Michael Kaess, Rafal Zboinski, Frank Dellaert
2003	—	`conf`	Reconstruction of Objects with Jagged Edges through Rao-Blackwellized Fitting of Piecewise Smooth Subdivision Curves. HLK Michael Kaess, Frank Dellaert
2002	A*	`conf`	Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning. ICRA Maxim Likhachev, Michael Kaess, Ronald C. Arkin
2002	—	`conf`	The Georgia Tech Yellow Jackets: A Marsupial Team for Urban Search and Rescue. AAAI Mobile Robot Competition Frank Dellaert, Tucker R. Balch, Michael Kaess, Ram Ravichandran, Fernando Alegre, Marc Berhault, Robert McGuire, Ernest Merrill, Lilia V. Moshkina, Daniel Walker