Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance. - Eric Dexheimer; Joshua G. Mangelson; Sebastian A. Scherer; Michael Kaess (IROS, 2020)

Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. - Vaibhav K. Viswanathan; Eric Dexheimer; Guanrui Li; Giuseppe Loianno; Michael Kaess; Sebastian A. Scherer (IROS, 2020)

LEO: Learning Energy-based Models in Factor Graph Optimization. - Paloma Sodhi; Eric Dexheimer; Mustafa Mukadam; Stuart Anderson; Michael Kaess (CoRL, 2021)

LEO: Learning Energy-based Models in Graph Optimization. - Paloma Sodhi; Eric Dexheimer; Mustafa Mukadam; Stuart Anderson; Michael Kaess (CoRR, 2021)

GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration. - Yehonathan Litman; Daniel McGann; Eric Dexheimer; Michael Kaess (ICRA, 2022)

Information-Theoretic Online Multi-Camera Extrinsic Calibration. - Eric Dexheimer; Patrick Peluse; Jianhui Chen; James Pritts; Michael Kaess (IEEE Robotics Autom. Lett., 2022)

Learning a Depth Covariance Function. - Eric Dexheimer; Andrew J. Davison (CVPR, 2023)

COMO: Compact Mapping and Odometry. - Eric Dexheimer; Andrew J. Davison (ECCV (55), 2024)

MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors. - Riku Murai; Eric Dexheimer; Andrew J. Davison (CVPR, 2025)