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  / 

News

  [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.

Professional Activities

  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)

  Reviewer, Computer Vision and Image Understanding (2023)

Projects

  ILIAD, Sub-OBB, Vision 4.0

Recent Publications

  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.