Semi-Dense Visual-Inertial Odometry and Mapping for Quadrotors with SWAP Constraints. - Wenxin Liu 002; Giuseppe Loianno; Kartik Mohta; Kostas Daniilidis; Vijay Kumar 001 (ICRA, 2018)

Nuclear Environments Inspection with Micro Aerial Vehicles: Algorithms and Experiments. - Dinesh Thakur; Giuseppe Loianno; Wenxin Liu 002; Vijay Kumar 001 (ISER, 2018)

Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion. - Alex Zihao Zhu; Wenxin Liu 002; Ziyun Wang 001; Vijay Kumar 001; Kostas Daniilidis (CoRR, 2018)

The Tiercel: A novel autonomous micro aerial vehicle that can map the environment by flying into obstacles. - Yash Mulgaonkar; Wenxin Liu 002; Dinesh Thakur; Kostas Daniilidis; Camillo J. Taylor; Vijay Kumar 001 (ICRA, 2020)

TLIO: Tight Learned Inertial Odometry. - Wenxin Liu 002; David Caruso; Eddy Ilg; Jing Dong 002; Anastasios I. Mourikis; Kostas Daniilidis; Vijay Kumar 001; Jakob J. Engel (IEEE Robotics Autom. Lett., 2020)

Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. - Chao Qu; Wenxin Liu 002; Camillo J. Taylor (ICCV, 2021)

Semi-dense visual-inertial odometry and mapping for computationally constrained platforms. - Wenxin Liu 002; Kartik Mohta; Giuseppe Loianno; Kostas Daniilidis; Vijay Kumar 001 (Auton. Robots, 2021)

LLOL: Low-Latency Odometry for Spinning Lidars. - Chao Qu; Shreyas S. Shivakumar; Wenxin Liu 002; Camillo J. Taylor (ICRA, 2022)