Dinh-Cuong Hoang

I am a Researcher and Lecturer at Greenwich Vietnam, FPT University and Örebro University where I work on Computer Vision, Artificial Intelligence (AI) and Robotics. I received my Ph.D. degree in Computer Science at Orebro University, Sweden and was advised by Prof. Todor Stoyanov, and Prof. Achim J. Lilienthal. Previously, I did my bachelors at the Hanoi University of Science and Technology (HUST).

My research interests lie at the intersection of computer vision, robotics, and machine learning. I am particularly interested in topics involving autonomy for robots, with a focus on perception algorithms. I am a leader of Technology & Cognition LAB, which is committed to cutting-edge research in these fields.

Teaching courses: Computer Architecture; Programming Fundamentals; Object-Oriented Programming; Data Structures and Algorithms; Digital Image Processing; Advanced Computer Vision; Programming for Robotics; Robotics: Perception; Introduction of Deep Learning.

Ph.D. Thesis  /  CV  /  Google Scholar  /  GitHub  /  LinkedIn  / 

●   [July. 2022]   My paper on "Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds" has been accepted by RA-L

●   [Fe. 2022]   My paper on "Context-Aware Grasp Generation in Cluttered Scenes" has been accepted by ICRA 2022

●   [Jan. 2022]   I join FPT University as a Lecturer and Researcher

●   [Dec. 2021]   I just successfully defended my Ph.D. thesis at Centre for Applied Autonomous Sensor Systems (AASS), Orebro University, Sweden.

●   Reviewer, IEEE International Conference on Robotics and Automation (ICRA 2018 2019 2020 2021 2022)

●   Reviewer, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018 2019 2020 2021 2022)

●   Reviewer, IEEE Robotics and Automation Letters (RA-L 2018 2019 2020 2021 2022 2023)

●   ILIAD, Sub-OBB, Vision 4.0

●   Hoang, D. C., Stork, J. A., & Stoyanov, T. Hoang, D.C., Stork, J.A. and Stoyanov, T., 2022. Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds. IEEE Robotics and Automation Letters, 7(4), pp.8980-8987.

●   Hoang, D. C., Stork, J. A., & Stoyanov, T. Context-Aware Grasp Detection for Target Objects in Cluttered Scenes Using Deep Hough Voting. IEEE International Conference on Robotics and Automation (ICRA 2022); May 23-27, 2022 Philadelphia (PA), USA.

●   Hoang, D. C., Lilienthal, A. J., & Stoyanov, T. (2020). Panoptic 3D Mapping and Object Pose Estimation Using Adaptively Weighted Semantic Information. IEEE Robotics and Automation Letters (RAL), 5(2), 1962-19. (also accepted and presented at ICRA 2020, Paris).

●   Hoang, D. C., Lilienthal, A. J., & Stoyanov, T. (2020). Object-RPE: Dense 3D reconstruction and pose estimation with convolutional neural networks. Robotics and Autonomous Systems (RAS), 133, 103632.