| π-LSAM: LiDAR smoothing and mapping with planes L Zhou, S Wang, M Kaess 2021 IEEE international conference on robotics and automation (ICRA), 5751-5757, 2021 | 37 | 2021 |
| Unsupervised learning of monocular depth estimation with bundle adjustment, super-resolution and clip loss L Zhou, J Ye, M Abello, S Wang, M Kaess arXiv preprint arXiv:1812.03368, 2018 | 31 | 2018 |
| DPLVO: Direct point-line monocular visual odometry L Zhou, S Wang, M Kaess IEEE Robotics and Automation Letters 6 (4), 7113-7120, 2021 | 29 | 2021 |
| Edplvo: Efficient direct point-line visual odometry L Zhou, G Huang, Y Mao, S Wang, M Kaess 2022 International Conference on Robotics and Automation (ICRA), 7559-7565, 2022 | 24 | 2022 |
| -LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders L Zhou, G Huang, Y Mao, J Yu, S Wang, M Kaess IEEE Robotics and Automation Letters 7 (3), 7163-7170, 2022 | 18 | 2022 |
| A fast and accurate solution for pose estimation from 3D correspondences L Zhou, S Wang, M Kaess 2020 IEEE International Conference on Robotics and Automation (ICRA), 1308-1314, 2020 | 11 | 2020 |
| Inv: Towards streaming incremental neural videos S Wang, A Supikov, J Ratcliff, H Fuchs, R Azuma arXiv preprint arXiv:2302.01532, 2023 | 3 | 2023 |
| Learning dynamic view synthesis with few rgbd cameras S Wang, YJ Kwon, Y Shen, Q Zhang, A State, JB Huang, H Fuchs arXiv preprint arXiv:2204.10477, 2022 | 1 | 2022 |
| My3DGen: Building Lightweight Personalized 3D Generative Model L Qi, J Wu, S Wang, S Sengupta arXiv preprint arXiv:2307.05468, 2023 | | 2023 |
| Bringing Telepresence to Every Desk S Wang, Z Wang, R Schmelzle, L Zheng, YJ Kwon, S Sengupta, H Fuchs arXiv preprint arXiv:2304.01197, 2023 | | 2023 |
| Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences L Zhou, S Wang, J Ye, M Kaess arXiv preprint arXiv:1904.01759, 2019 | | 2019 |
Michael KaessAssociate Professor, Carnegie Mellon UniversityVerified email at cmu.edu
