Elitist Chemical Reaction Optimization for Contour-Based Target Recognition in Aerial Images. - Haibin Duan; Lu Gan 006 (IEEE Trans. Geosci. Remote. Sens., 2015)

Gaussian Processes Semantic Map Representation. - Maani Ghaffari Jadidi; Lu Gan 006; Steven A. Parkison; Jie Li 017; Ryan M. Eustice (CoRR, 2017)

Sparse Bayesian Inference for Dense Semantic Mapping. - Lu Gan 006; Maani Ghaffari Jadidi; Steven A. Parkison; Ryan M. Eustice (CoRR, 2017)

Semantic Iterative Closest Point through Expectation-Maximization. - Steven A. Parkison; Lu Gan 006; Maani Ghaffari Jadidi; Ryan M. Eustice (BMVC, 2018)

Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors. - Ross Hartley; Josh Mangelson; Lu Gan 006; Maani Ghaffari Jadidi; Jeffrey M. Walls; Ryan M. Eustice; Jessy W. Grizzle (ICRA, 2018)

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs. - Ross Hartley; Maani Ghaffari Jadidi; Lu Gan 006; Jiunn-Kai Huang; Jessy W. Grizzle; Ryan M. Eustice (IROS, 2018)

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation within Factor Graphs. - Ross Hartley; Maani Ghaffari Jadidi; Lu Gan 006; Jiunn-Kai Huang; Jessy W. Grizzle; Ryan M. Eustice (CoRR, 2018)

LiDARTag: A Real-Time Fiducial Tag using Point Clouds. - Jiunn-Kai Huang; Maani Ghaffari Jadidi; Ross Hartley; Lu Gan 006; Ryan M. Eustice; Jessy W. Grizzle (CoRR, 2019)

Bayesian Spatial Kernel Smoothing for ScalableDense Semantic Mapping. - Lu Gan 006; Ray Zhang 001; Jessy W. Grizzle; Ryan M. Eustice; Maani Ghaffari Jadidi (CoRR, 2019)

Boosting Shape Registration Algorithms via Reproducing Kernel Hilbert Space Regularizers. - Steven A. Parkison; Maani Ghaffari Jadidi; Lu Gan 006; Ray Zhang 001; Arash K. Ushani; Ryan M. Eustice (IEEE Robotics Autom. Lett., 2019)

Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping. - Lu Gan 006; Ray Zhang 001; Jessy W. Grizzle; Ryan M. Eustice; Maani Ghaffari Jadidi (IEEE Robotics Autom. Lett., 2020)

Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference. - Lu Gan 006; Youngji Kim; Jessy W. Grizzle; Jeffrey M. Walls; Ayoung Kim; Ryan M. Eustice; Maani Ghaffari (CoRR, 2021)

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joseph Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (CoRR, 2021)

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joey Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Access, 2022)

Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. - Lu Gan 006; Connor T. Lee; Soon-Jo Chung (CoRR, 2022)

Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning. - Lu Gan 006; Jessy W. Grizzle; Ryan M. Eustice; Maani Ghaffari (IEEE Robotics Autom. Lett., 2022)

Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. - Lu Gan 006; Connor Lee; Soon-Jo Chung (ICRA, 2023)

Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. - Connor Lee; Jonathan Gustafsson Frennert; Lu Gan 006; Matthew Anderson; Soon-Jo Chung (IROS, 2023)

Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. - Connor T. Lee; Jonathan Gustafsson Frennert; Lu Gan 006; Matthew Anderson; Soon-Jo Chung (CoRR, 2023)

RGB-X Object Detection via Scene-Specific Fusion Modules. - Sri Aditya Deevi; Connor T. Lee; Lu Gan 006; Sushruth Nagesh; Gaurav Pandey 004; Soon-Jo Chung (CoRR, 2023)

Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference. - Lu Gan 006; Youngji Kim; Jessy W. Grizzle; Jeffrey M. Walls; Ayoung Kim; Ryan M. Eustice; Maani Ghaffari (IEEE Trans. Robotics, 2023)

RGB-X Object Detection via Scene-Specific Fusion Modules. - Sri Aditya Deevi; Connor Lee; Lu Gan 006; Sushruth Nagesh; Gaurav Pandey 004; Soon-Jo Chung (WACV, 2024)