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2025

Adaptive Parametric Activation

Alexandridis, K. P., Deng, J., Nguyen, A., & Luo, S. (2025). Adaptive Parametric Activation. In Lecture Notes in Computer Science (pp. 455-476). Springer Nature Switzerland. doi:10.1007/978-3-031-72949-2_26

DOI
10.1007/978-3-031-72949-2_26
Chapter

Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction

Jianu, T., Huang, B., Nguyen, H., Bhattarai, B., Do, T., Tjiputra, E., . . . Nguyen, A. (2025). Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction. In Lecture Notes in Computer Science (pp. 366-382). Springer Nature Singapore. doi:10.1007/978-981-96-0917-8_21

DOI
10.1007/978-981-96-0917-8_21
Chapter

Scalable Group Choreography via Variational Phase Manifold Learning

Le, N., Do, K., Bui, X., Do, T., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2025). Scalable Group Choreography via Variational Phase Manifold Learning. In Lecture Notes in Computer Science (pp. 293-311). Springer Nature Switzerland. doi:10.1007/978-3-031-72649-1_17

DOI
10.1007/978-3-031-72649-1_17
Chapter

Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching

Kang, J., Jianu, T., Huang, B., Bhattarai, B., Le, N., Coenen, F., & Nguyen, A. (2025). Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching. In Lecture Notes in Computer Science (pp. 95-104). Springer Nature Switzerland. doi:10.1007/978-3-031-73748-0_10

DOI
10.1007/978-3-031-73748-0_10
Chapter

2024

ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation

Tran, M., Bounsavy, W., Vo, K., Nguyen, A., Nguyen, T., & Le, N. (2024). ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation. In 2024 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. doi:10.1109/ijcnn60899.2024.10650837

DOI
10.1109/ijcnn60899.2024.10650837
Conference Paper

Fine-Grained Visual Classification using Self Assessment Classifier

Do, T., Tran, H., Tjiputra, E., Tran, Q. D., & Nguyen, A. (2024). Fine-Grained Visual Classification using Self Assessment Classifier. In 2024 IEEE Conference on Artificial Intelligence (CAI) (pp. 597-602). IEEE. doi:10.1109/cai59869.2024.00117

DOI
10.1109/cai59869.2024.00117
Conference Paper

Style Transfer for 2D Talking Head Generation

Pham, T. T., Do, T., Le, N., Le, N., Nguyen, H., Tjiputra, E., . . . Nguyen, A. (2024). Style Transfer for 2D Talking Head Generation. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 7500-7509). IEEE. doi:10.1109/cvprw63382.2024.00745

DOI
10.1109/cvprw63382.2024.00745
Conference Paper

Spring Back Prediction Using Point Series and Deep Learning

Bingqian, Y., Zeng, Y., Yang, H., Penalva Oscoz, M., Ortiz, M., Coenen, F., & Nguyen, A. (n.d.). Spring Back Prediction Using Point Series and Deep Learning. International Journal of Advanced Manufacturing Technology.

Journal article

Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation

Yamazaki, K., Hanyu, T., Vo, K., Pham, T., Tran, M., Doretto, G., . . . Le, N. (2024). Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 9411-9417). IEEE. doi:10.1109/icra57147.2024.10610193

DOI
10.1109/icra57147.2024.10610193
Conference Paper

Generating Valid and Natural Adversarial Examples with Large Language Models

Wang, Z., Wang, W., Chen, Q., Wang, Q., & Nguyen, A. (2024). Generating Valid and Natural Adversarial Examples with Large Language Models. In 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 1716-1721). IEEE. doi:10.1109/cscwd61410.2024.10580402

DOI
10.1109/cscwd61410.2024.10580402
Conference Paper

WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge

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) (pp. 3025-3029). IEEE. doi:10.1109/icassp48485.2024.10446193

DOI
10.1109/icassp48485.2024.10446193
Conference Paper

Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition

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.v38i6.28440

DOI
10.1609/aaai.v38i6.28440
Conference Paper

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses

Pham, T. T., Brecheisen, J., Nguyen, A., Nguyen, H., & Le, N. (2024). I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 7835-7844). IEEE. doi:10.1109/wacv57701.2024.00767

DOI
10.1109/wacv57701.2024.00767
Conference Paper

3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Images

Jianu, T., Huang, B., Berthet-Rayne, P., Fichera, S., & Nguyen, A. (2024). 3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Images. In Lecture Notes in Networks and Systems (pp. 84-94). Springer Nature Switzerland. doi:10.1007/978-3-031-70684-4_7

DOI
10.1007/978-3-031-70684-4_7
Chapter

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting

Yu, Q., Xie, J., Nguyen, A., Zhao, H., Zhang, J., Fu, H., . . . Meng, Y. (2024). CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting. In Lecture Notes in Computer Science (pp. 667-677). Springer Nature Switzerland. doi:10.1007/978-3-031-72378-0_62

DOI
10.1007/978-3-031-72378-0_62
Chapter

Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection

Wang, Y., Wang, Z., Han, N., Wang, W., Chen, Q., Zhang, H., . . . Nguyen, A. (2024). Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection. In WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop (pp. 470-475).

Conference Paper

Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation

Xie, J., Chen, X., Zhao, Y., Meng, Y., Zhao, H., Nguyen, A., . . . Zheng, Y. (2024). Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation. In Lecture Notes in Computer Science (pp. 743-753). Springer Nature Switzerland. doi:10.1007/978-3-031-72378-0_69

DOI
10.1007/978-3-031-72378-0_69
Chapter

Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data

ALdausari, N., Coenen, F., Nguyen, A., & Shantsila, E. (2024). Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 81-90). SCITEPRESS - Science and Technology Publications. doi:10.5220/0012998300003838

DOI
10.5220/0012998300003838
Conference Paper

Shape-Sensitive Loss for Catheter and Guidewire Segmentation

Kongtongvattana, C., Huang, B., Kang, J., Nguyen, H., Olufemi, O., & Nguyen, A. (2024). Shape-Sensitive Loss for Catheter and Guidewire Segmentation. In Lecture Notes in Networks and Systems (pp. 95-107). Springer Nature Switzerland. doi:10.1007/978-3-031-70684-4_8

DOI
10.1007/978-3-031-70684-4_8
Chapter

2023

Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data

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 (pp. 1-6). ACM. doi:10.1145/3584371.3612969

DOI
10.1145/3584371.3612969
Conference Paper

Self-Supervised Learning for Point Clouds through Multi-crop Mutual Prediction

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) (pp. 160-167). IEEE. doi:10.1109/prml59573.2023.10348385

DOI
10.1109/prml59573.2023.10348385
Conference Paper

SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools

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 (pp. 71-72). The Hamlyn Centre, Imperial College London London, UK. doi:10.31256/hsmr2023.36

DOI
10.31256/hsmr2023.36
Conference Paper

Music-Driven Group Choreography

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) (pp. 8673-8682). IEEE. doi:10.1109/cvpr52729.2023.00838

DOI
10.1109/cvpr52729.2023.00838
Conference Paper

Learning to Terminate in Object Navigation

Song, Y., Nguyen, A., & Lee, C. Y. (2023). Learning to Terminate in Object Navigation. In Proceedings of Machine Learning Research Vol. 222 (pp. 1247-1262).

Conference Paper

Preface

Bhattarai, B., Rau, A., Namburete, A., Caramalau, R., Stoyanov, D., Ali, S., & Nguyen, A. (2023). Preface (Vol. 14314 LNCS).

Book

2022

Deep Federated Learning for Autonomous Driving

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/iv51971.2022.9827020

DOI
10.1109/iv51971.2022.9827020
Conference Paper

Generalised Zero-shot Learning for Entailment-based Text Classification with Externa Knowledge

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/SMARTCOMP55677.2022.00018

DOI
10.1109/SMARTCOMP55677.2022.00018
Conference Paper

Long-Tailed Instance Segmentation Using Gumbel Optimized Loss

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_21

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

2021

Graph-based Person Signature for Person Re-Identifications

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) (pp. 3487-3496). IEEE. doi:10.1109/cvprw53098.2021.00388

DOI
10.1109/cvprw53098.2021.00388
Conference Paper

Self-supervised generative adversarial network for depth estimation in laparoscopic images

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.

Conference Paper

2020

Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network

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.

Conference Paper

BeetleBot: A Multi-Purpose AI-Driven Mobile Robot for Realistic Environments

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.

Conference Paper

Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning

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).

Conference Paper

End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention

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).

Conference Paper

Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation

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..

Conference Paper

2019

Object captioning and retrieval with natural language

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).

Conference Paper

Real-time 6DOF pose relocalization for event cameras with stacked spatial LSTM networks

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.

Conference Paper

Scene Understanding for Autonomous Manipulation with Deep Learning

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

Journal article

V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation

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.

Journal article

2018

Affordancenet: An end-to-end deep learning approach for object affordance detection

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).

Conference Paper

Translating Videos to Commands for Robotic Manipulation with Deep Recurrent Neural Networks

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/

Conference Paper

2017

Object-based affordances detection with convolutional neural networks and dense conditional random fields

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.

Conference Paper

Vision-based foothold contact reasoning using curved surface patches

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.

Conference Paper

2016

Detecting object affordances with convolutional neural networks

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.

Conference Paper

Preparatory object reorientation for task-oriented grasping

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.

Conference Paper

2014

Contextual labeling 3D point clouds with conditional random fields

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.

Conference Paper

2013

3D point cloud segmentation: A survey

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.

Conference Paper