2024
WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge (Conference Paper)
Le, H., Kieu, T., Nguyen, A., & Le, N. (2024). WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. doi:10.1109/icassp48485.2024.10446193DOI: 10.1109/icassp48485.2024.10446193
Xie, J., Meng, Y., Zhao, Y., Nguyen, A., Yang, X., & Zheng, Y. (n.d.). Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 38 (pp. 6225-6233). Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v38i6.28440DOI: 10.1609/aaai.v38i6.28440
Gong, H., Su, J., Seng, K. P., Nguyen, A., Liu, A., & Liu, H. (2024). Film-GAN: towards realistic analog film photo generation. Neural Computing and Applications, 36(8), 4281-4291. doi:10.1007/s00521-023-09283-5DOI: 10.1007/s00521-023-09283-5
Zeng, C., Wang, W., Nguyen, A., & Yue, Y. (2023). Self-supervised learning for point cloud data: A survey. Expert Systems with Applications, 121354. doi:10.1016/j.eswa.2023.121354DOI: 10.1016/j.eswa.2023.121354
Wang, Y., Wang, Z., Wang, W., Chen, Q., Huang, K., Nguyen, A., & De, S. (2024). Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding. In Unknown Conference (pp. 29-40). Springer Nature Switzerland. doi:10.1007/978-3-031-52216-1_3DOI: 10.1007/978-3-031-52216-1_3
Souipas, S., Nguyen, A., Laws, S. G., Davies, B. L., & Rodriguez y Baena, F. (n.d.). Real-time active constraint generation and enforcement for surgical tools using 3D detection and localisation network. Frontiers in Robotics and AI, 11. doi:10.3389/frobt.2024.1365632DOI: 10.3389/frobt.2024.1365632
2023
Le, N., Do, T., Do, K., Nguyen, H., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2023). Controllable Group Choreography Using Contrastive Diffusion. ACM Transactions on Graphics, 42(6), 1-14. doi:10.1145/3618356DOI: 10.1145/3618356
Tan, Z., Yang, X., Ye, Z., Wang, Q., Yan, Y., Nguyen, A., & Huang, K. (2023). Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation. Pattern Recognition, 144, 109883. doi:10.1016/j.patcog.2023.109883DOI: 10.1016/j.patcog.2023.109883
Zimmermann, M., Vu, M. N., Beck, F., Nguyen, A., & Kugi, A. (2023). Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles. In IFAC-PapersOnLine Vol. 56 (pp. 11002-11009). doi:10.1016/j.ifacol.2023.10.799DOI: 10.1016/j.ifacol.2023.10.799
Alexandridis, K. P., Luo, S., Nguyen, A., Deng, J., & Zafeiriou, S. (2023). Inverse Image Frequency for Long-Tailed Image Recognition. IEEE Transactions on Image Processing, 32, 5721-5736. doi:10.1109/tip.2023.3321461DOI: 10.1109/tip.2023.3321461
Huang, B., Hu, Y., Nguyen, A., Giannarou, S., & Elson, D. S. (2023). Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery. In Unknown Conference (pp. 260-270). Springer Nature Switzerland. doi:10.1007/978-3-031-43996-4_25DOI: 10.1007/978-3-031-43996-4_25
Vuong, A., Vu, M., Nguyen, T., Huang, B., Nguyen, D., Vo, T., & Nguyen, A. (n.d.). Language-driven Scene Synthesis using Multi-conditional Diffusion Model. In Conference on Neural Information Processing Systems (NeurIPS).
Nguyen, T., Vu, M. N., Vuong, A., Nguyen, D., Vo, T., Le, N., & Nguyen, A. (2023). Open-Vocabulary Affordance Detection in 3D Point Clouds. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. doi:10.1109/iros55552.2023.10341553DOI: 10.1109/iros55552.2023.10341553
Do, T., Nguyen, B. X., Pham, V., Tran, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2023). Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. doi:10.1109/iccv51070.2023.01778DOI: 10.1109/iccv51070.2023.01778
Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data (Conference Paper)
Gadhia, N. A., Smyrnakis, M., Liu, P. -Y., Blake, D., Hay, M., Nguyen, A., . . . Richards, D. (2023). Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data. In Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. ACM. doi:10.1145/3584371.3612969DOI: 10.1145/3584371.3612969
Self-Supervised Learning for Point Clouds through Multi-crop Mutual Prediction (Conference Paper)
Zeng, C., Wang, W., Xiao, J., Nguyen, A., & Yue, Y. (2023). Self-Supervised Learning for Point Clouds through Multi-crop Mutual Prediction. In 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML). IEEE. doi:10.1109/prml59573.2023.10348385DOI: 10.1109/prml59573.2023.10348385
Souipas, S., Nguyen, A., Laws, S. G., Davies, B. L., & Baena, F. R. Y. (2023). SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools. IEEE Transactions on Medical Robotics and Bionics, 1. doi:10.1109/tmrb.2023.3291022DOI: 10.1109/tmrb.2023.3291022
SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools (Conference Paper)
Souipas, S., Nguyen, A., Laws, S., Davies, B., & Rodriguez Y Baena, F. (2023). SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools. In Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023. The Hamlyn Centre, Imperial College London London, UK. doi:10.31256/hsmr2023.36DOI: 10.31256/hsmr2023.36
Le, N., Pham, T., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2023). Music-Driven Group Choreography. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr52729.2023.00838DOI: 10.1109/cvpr52729.2023.00838
Dagnino, G., Kundrat, D., Kwok, T. M. Y., Abdelaziz, M. E. M. K., Chi, W., Nguyen, A., . . . Yang, G. -Z. (2023). In-Vivo Validation of a Novel Robotic Platform for Endovascular Intervention. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(6), 1786-1794. doi:10.1109/TBME.2022.3227734DOI: 10.1109/TBME.2022.3227734
Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., De, S., & Hussain, A. (2023). Fusing external knowledge resources for natural language understanding techniques: A survey. Information Fusion, 92, 190-204. doi:10.1016/j.inffus.2022.11.025DOI: 10.1016/j.inffus.2022.11.025
Song, Y., Wang, Y., Wang, X., Huang, D., Nguyen, A., & Meng, J. (2023). Multi-task adaptive pooling enabled synergetic learning of RNA modification across tissue, type and species from low-resolution epitranscriptomes. BRIEFINGS IN BIOINFORMATICS. doi:10.1093/bib/bbad105DOI: 10.1093/bib/bbad105
Vu, M. N., Beck, F., Schwegel, M., Hartl-Nesic, C., Nguyen, A., & Kugi, A. (2023). Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators. Mechatronics, 91, 102970. doi:10.1016/j.mechatronics.2023.102970DOI: 10.1016/j.mechatronics.2023.102970
Le, N., Nguyen, K., Tran, Q., Tjiputra, E., Le, B., & Nguyen, A. (2023). Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. In 2023 IEEE/CVF WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV) (pp. 6077-6086). doi:10.1109/WACV56688.2023.00603DOI: 10.1109/WACV56688.2023.00603
Subedi, R., Gaire, R. R., Ali, S., Nguyen, A., Stoyanov, D., & Bhattarai, B. (2023). A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. In Unknown Conference (pp. 21-33). Springer Nature Switzerland. doi:10.1007/978-3-031-44992-5_3DOI: 10.1007/978-3-031-44992-5_3
Preface (Book)
Bhattarai, B., Rau, A., Namburete, A., Caramalau, R., Stoyanov, D., Ali, S., & Nguyen, A. (2023). Preface (Vol. 14314 LNCS).
Wang, Y., Wang, W., Chen, Q., Huang, K., Nguyen, A., & De, S. (2023). Prompt-based Zero-shot Text Classification with Conceptual Knowledge. In Proceedings of the Annual Meeting of the Association for Computational Linguistics Vol. 4 (pp. 30-38).
2022
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 MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT VII Vol. 13437 (pp. 13-22). doi:10.1007/978-3-031-16449-1_2DOI: 10.1007/978-3-031-16449-1_2
Nguyen, B. X., Do, T., Tran, H., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2022). Coarse-to-Fine Reasoning for Visual Question Answering. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/cvprw56347.2022.00502DOI: 10.1109/cvprw56347.2022.00502
Deep Federated Learning for Autonomous Driving (Conference Paper)
Nguyen, A., Do, T., Tran, M., Nguyen, B. X., Duong, C., Phan, T., . . . Tran, Q. D. (2022). Deep Federated Learning for Autonomous Driving. In 2022 IEEE Intelligent Vehicles Symposium (IV). IEEE. doi:10.1109/iv51971.2022.9827020DOI: 10.1109/iv51971.2022.9827020
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.2022.3170215DOI: 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., Anh, N., & De, S. (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/SMARTCOMP55677.2022.00018DOI: 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 Unknown Book (Vol. 13670, pp. 353-369). doi:10.1007/978-3-031-20080-9_21DOI: 10.1007/978-3-031-20080-9_21
Hu, X., Anh, N., & 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.2021.3134764DOI: 10.1109/TIM.2021.3134764
2021
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.2022.3141013DOI: 10.1109/tmi.2022.3141013
Le, N., Nguyen, K., Nguyen, A., & Le, B. (2021). Global-local attention for emotion recognition. NEURAL COMPUTING & APPLICATIONS. doi:10.1007/s00521-021-06778-xDOI: 10.1007/s00521-021-06778-x
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 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/cvprw53098.2021.00388DOI: 10.1109/cvprw53098.2021.00388
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 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 3487-3496). doi:10.1109/CVPRW53098.2021.00388DOI: 10.1109/CVPRW53098.2021.00388
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.2021.3065146DOI: 10.1109/TBME.2021.3065146
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 Unknown Conference (pp. 64-74). Springer International Publishing. doi:10.1007/978-3-030-87240-3_7DOI: 10.1007/978-3-030-87240-3_7
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
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).
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)
Anh, N., Kanoulas, D., Muratore, L., Caldwell, D. G., & Tsagarakis, N. G. (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.