Dinh-Cuong Hoang
Title: Doctoral Student School/office: School of Science and Technology
Email:
Phone: +46 19 301359
Room: T1224
Research subject
Research environments
About Dinh-Cuong Hoang
My research interests lie at the intersection of computer vision, robotics, and machine learning. I am particularly interested in applications of 2D/3D segmentation, reconstruction, object detection and pose estimation algorithms in problems involving vision-based robotic tasks. More specifically, I am currently focused on deep learning-based methods for robotic manipulation, or grasping.
Research projects
Research teams
Publications
Articles in journals |
Conference papers |
Articles in journals
Hoang, D. , Lilienthal, A.
& Stoyanov, T. (2020). Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks. Robotics and Autonomous Systems, 133.
Hoang, D. , Lilienthal, A.
& Stoyanov, T. (2020). Panoptic 3D Mapping and Object Pose Estimation Using Adaptively Weighted Semantic Information. IEEE Robotics and Automation Letters, 5 (2), 1962-1969.
Conference papers
Hoang, D. , Stoyanov, T.
& Lilienthal, A. J. (2019). Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots.
In:
2019 European Conference on Mobile Robots, ECMR 2019 Proceedings. Paper presented at 2019 European Conference on Mobile Robots (ECMR), Prague, Czech Republic, September 4-6, 2019. IEEE.