3d-ssd: Learning hierarchical features from rgb-d images for amodal 3d object detection Q Luo, H Ma, L Tang, Y Wang, R Xiong Neurocomputing 378, 364-374, 2020 | 64 | 2020 |
Towards open-set semantic labeling in 3D point clouds: Analysis on the unknown class H Ma, R Xiong, Y Wang, S Kodagoda, L Shi Neurocomputing 275, 1282-1294, 2018 | 12 | 2018 |
Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map H Ma, Y Wang, L Tang, S Kodagoda, R Xiong arXiv preprint arXiv:1906.02468, 2019 | 10 | 2019 |
DeepGoal: Learning to drive with driving intention from human control demonstration H Ma, Y Wang, R Xiong, S Kodagoda, L Tang Robotics and Autonomous Systems 127, 103477, 2020 | 4 | 2020 |
A semantic labeling strategy to reject unknown objects in large scale 3D point clouds H Ma, L Shi, S Kodagoda, R Xiong 2016 35th Chinese Control Conference (CCC), 7070-7075, 2016 | 4 | 2016 |
From time to space: Automatic annotation of unmarked traffic scene based on trajectory data H Ma, Y Wang, R Xiong 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1177 …, 2018 | 2 | 2018 |
Single multifeature detector for amodal 3d object detection in rgb-d images Q Luo, H Ma, Y Wang, L Tang, R Xiong arXiv preprint arXiv: 1711.00238, 2017 | 2 | 2017 |
Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs H Ma, Y Wang, R Xiong, S Kodagoda, Q Luo arXiv preprint arXiv:1911.12007, 2019 | | 2019 |