Dr Anh Nguyen

Lecturer in Artificial Intelligence Computer Science

Work email Anh.Nguyen@liverpool.ac.uk
Personal Websitehttps://www.csc.liv.ac.uk/~anguyen/

Publications

Filter the publication list

Filter list by type

Show all
Journal article
Conference paper
Chapter
Other

2022

Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images. (Journal article)

Huang, B., Nguyen, A., Wang, S., Wang, Z., Mayer, E., Tuch, D., . . . Elson, D. S. (2022). Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images.. IEEE transactions on medical robotics and bionics, 4(2), 335-338. doi:10.1109/tmrb.2022.3170215

DOI: 10.1109/tmrb.2022.3170215

Generalised Zero-shot Learning for Entailment-based Text Classification with Externa Knowledge (Conference Paper)

Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., De, S., & IEEE. (2022). Generalised Zero-shot Learning for Entailment-based Text Classification with Externa Knowledge. In 2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022) (pp. 19-25). doi:10.1109/SMARTCOMP55677.2022.00018

DOI: 10.1109/SMARTCOMP55677.2022.00018

Long-Tailed Instance Segmentation Using Gumbel Optimized Loss (Chapter)

Alexandridis, K. P., Deng, J., Nguyen, A., & Luo, S. (2022). Long-Tailed Instance Segmentation Using Gumbel Optimized Loss. In Lecture Notes in Computer Science (pp. 353-369). Springer Nature Switzerland. doi:10.1007/978-3-031-20080-9_21

DOI: 10.1007/978-3-031-20080-9_21

Occlusion-Robust Visual Markerless Bone Tracking for Computer-Assisted Orthopedic Surgery (Journal article)

Hu, X., Nguyen, A., & Rodriguez y Baena, F. (2022). Occlusion-Robust Visual Markerless Bone Tracking for Computer-Assisted Orthopedic Surgery. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 71. doi:10.1109/TIM.2021.3134764

DOI: 10.1109/TIM.2021.3134764

Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency (Conference Paper)

Huang, B., Zheng, J. -Q., Nguyen, A., Xu, C., Gkouzionis, I., Vyas, K., . . . Elson, D. S. (2022). Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency. In Unknown Conference (pp. 13-22). Springer Nature Switzerland. doi:10.1007/978-3-031-16449-1_2

DOI: 10.1007/978-3-031-16449-1_2

2021

Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge. (Journal article)

Tran, M. Q., Do, T., Tran, H., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2022). Light-Weight Deformable Registration Using Adversarial Learning With Distilling Knowledge.. IEEE transactions on medical imaging, 41(6), 1443-1453. doi:10.1109/tmi.2022.3141013

DOI: 10.1109/tmi.2022.3141013

Global-local attention for emotion recognition (Journal article)

Le, N., Nguyen, K., Nguyen, A., & Le, B. (2021). Global-local attention for emotion recognition. NEURAL COMPUTING & APPLICATIONS. doi:10.1007/s00521-021-06778-x

DOI: 10.1007/s00521-021-06778-x

An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation (Journal article)

Kundrat, D., Dagnino, G., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., . . . Yang, G. -Z. (2021). An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation. IEEE Transactions on Biomedical Engineering. doi:10.1109/TBME.2021.3065146

DOI: 10.1109/TBME.2021.3065146

Graph-based Person Signature for Person Re-Identifications (Conference Paper)

Nguyen, B. X., Nguyen, B. D., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2021). Graph-based Person Signature for Person Re-Identifications. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (pp. 3492-3501).

Multiple Meta-model Quantifying for Medical Visual Question Answering (Conference Paper)

Do, T., Nguyen, B. X., Tjiputra, E., Tran, M., Tran, Q. D., & Nguyen, A. (2021). Multiple Meta-model Quantifying for Medical Visual Question Answering. In International Conference on Medical Image Computing and Computer-Assisted Intervention.

Self-supervised generative adversarial network for depth estimation in laparoscopic images (Conference Paper)

Huang, B., Zheng, J. -Q., Nguyen, A., Tuch, D., Vyas, K., Giannarou, S., & Elson, D. S. (2021). Self-supervised generative adversarial network for depth estimation in laparoscopic images. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 227-237). Springer, Cham.

2020

Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System (Chapter)

Nguyen, A., & Tran, Q. (2020). Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System. Retrieved from http://arxiv.org/abs/2012.02417v2

Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network (Conference Paper)

Nguyen, A., Nguyen, N., Tran, K., Tjiputra, E., & Tran, Q. D. (2020). Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for Realistic Environments (Conference Paper)

Nguyen, A., Tjiputra, E., & Tran, Q. D. (2020). BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for Realistic Environments. In Proceedings of UKRAS20 Conference: Robots into the real world.

Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning (Conference Paper)

Chi, W., Dagnino, G., Kwok, T. M. Y., Nguyen, A., Kundrat, D., Abdelaziz, M. E. M. K., . . . Yang, G. Z. (2020). Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning. In 2020 International Conference on Robotics and Automation (ICRA).

End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention (Conference Paper)

Nguyen, A., Kundrat, D., Dagnino, G., Chi, W., Abdelaziz, M. E. M. K., Guo, Y., . . . Yang, G. -Z. (2020). End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention. In 2020 IEEE International Conference on Robotics and Automation (ICRA).

Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool (Journal article)

Cursi, F., Nguyen, A., & Yang, G. -Z. (2020). Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool. arXiv e-prints, arXiv-2006.

Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation (Conference Paper)

Varghese, R. J., Nguyen, A., Burdet, E., Yang, G. -Z., & Lo, B. P. L. (2020). Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation. In International Conference on Soft Robotics (RoboSoft), 2020..

2019

Object captioning and retrieval with natural language (Conference Paper)

Nguyen, A., Tran, Q. D., Do, T. -T., Reid, I., Caldwell, D. G., & Tsagarakis, N. G. (2019). Object captioning and retrieval with natural language. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (pp. 0).

Real-time 6DOF pose relocalization for event cameras with stacked spatial LSTM networks (Conference Paper)

Nguyen, A., Do, T. -T., Caldwell, D. G., & Tsagarakis, N. G. (2019). Real-time 6DOF pose relocalization for event cameras with stacked spatial LSTM networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.

Scene Understanding for Autonomous Manipulation with Deep Learning (Journal article)

Nguyen, A. (2019). Scene Understanding for Autonomous Manipulation with Deep Learning. arXiv preprint arXiv:1903.09761.

V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation (Journal article)

Nguyen, A., Do, T. -T., Reid, I., Caldwell, D. G., & Tsagarakis, N. G. (2019). V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. abs/1903.10869.

2018

Affordancenet: An end-to-end deep learning approach for object affordance detection (Conference Paper)

Do*, T. -T., Nguyen*, A., & Reid, I. (2018). Affordancenet: An end-to-end deep learning approach for object affordance detection. In 2018 IEEE International Conference on Robotics and Automation (ICRA).

Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks (Conference Paper)

Nguyen, A., Kanoulas, D., Muratore, L., Caldwell, D. G., Tsagarakis, N. G., & IEEE. (2018). Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks. In 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (pp. 3782-3788). Retrieved from https://www.webofscience.com/

2017

Object-based affordances detection with convolutional neural networks and dense conditional random fields (Conference Paper)

Nguyen, A., Kanoulas, D., Caldwell, D. G., & Tsagarakis, N. G. (2017). Object-based affordances detection with convolutional neural networks and dense conditional random fields. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5908-5915). IEEE.

Vision-based foothold contact reasoning using curved surface patches (Conference Paper)

Kanoulas, D., Zhou, C., Nguyen, A., Kanoulas, G., Caldwell, D. G., & Tsagarakis, N. G. (2017). Vision-based foothold contact reasoning using curved surface patches. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) (pp. 121-128). IEEE.

2016

Detecting object affordances with convolutional neural networks (Conference Paper)

Nguyen, A., Kanoulas, D., Caldwell, D. G., & Tsagarakis, N. G. (2016). Detecting object affordances with convolutional neural networks. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2765-2770). IEEE.

Preparatory object reorientation for task-oriented grasping (Conference Paper)

Nguyen, A., Kanoulas, D., Caldwell, D. G., & Tsagarakis, N. G. (2016). Preparatory object reorientation for task-oriented grasping. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 893-899). IEEE.

2014

Contextual labeling 3D point clouds with conditional random fields (Conference Paper)

Nguyen, A., & Le, B. (2014). Contextual labeling 3D point clouds with conditional random fields. In Asian Conference on Intelligent Information and Database Systems (pp. 581-590). Springer, Cham.

2013

3D point cloud segmentation: A survey (Conference Paper)

Nguyen, A., & Le, B. (2013). 3D point cloud segmentation: A survey. In Robotics, Automation and Mechatronics (RAM), 2013 IEEE Conference on (pp. 225-230). IEEE.