Publications

2026
Journal

2026

  1. Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, and Ichiro Ide, "MultiSensor-Home: Multi-modal multi-view dataset and benchmarks for action recognition in home environments," Pattern Recognition IF 9.1 DOI Open Access
  2. Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, and Ichiro Ide, "Action Selection Learning for Weakly Labeled Multi-modal Multi-view Action Recognition," ACM Transactions on Multimedia Computing, Communications, and Applications IF 6.0 DOI Open Access
  3. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "Hierarchical Local-Global Fusion for One-stage Open-vocabulary Temporal Action Detection," ACM Transactions on Multimedia Computing, Communications, and Applications IF 6.0 DOI Open Access
Conference

2026

  1. Duc Tri Tran, Trung Thanh Nguyen, Vijay John, Phi Le Nguyen, and Yasutomo Kawanishi, "TraRA: Trajectory-level Recognition Aggregation for Video Text Spotting in Urban Surveillance," In Proceedings of the 22nd IEEE International Conference on Advanced Visual and Signal-Based Systems arXiv
  2. Hai-Long Nguyen, Trung Thanh Nguyen, Lars Holm, Dennis Alveringh, and Duc Viet Le, "PRIMS: Physics-guided Representation for Fluid Identification in Multimodal Sensing," In Proceedings of the 2026 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  3. Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, and Ichiro Ide, "View-aware Cross-modal Distillation for Multi-view Action Recognition," In Proceedings of the 2026 IEEE/CVF Winter Conference on Applications of Computer Vision DOI arXiv
  4. Trung Kien Pham, Hoang Minh Vu, Anh Duc Chu, Dac Thai Nguyen, Trung Thanh Nguyen, Thao Nguyen Truong, Mai Hong Son, Thanh Trung Nguyen, and Phi Le Nguyen, "PADM: A Physics-aware Diffusion Model for Attenuation Correction," In Proceedings of the 2026 IEEE/CVF Winter Conference on Applications of Computer Vision DOI arXiv
2025
Conference

2025

  1. Trung Thanh Nguyen, "MultiSensor-Home: Benchmark for Multi-modal Multi-view Action Recognition in Home Environments," In Proceedings of the 7th ACM International Conference on Multimedia in Asia (Doctoral Symposium) DOI
  2. Junan Chen, Trung Thanh Nguyen, Takahiro Komamizu, and Ichiro Ide, "Q-Adapter: Visual Query Adapter for Extracting Textually-related Features in Video Captioning," In Proceedings of the 7th ACM International Conference on Multimedia in Asia DOI arXiv 🏆 Best Oral Award
  3. Huu Tien Nguyen, Dac Thai Nguyen, The Minh Duc Nguyen, Trung Thanh Nguyen, Thao Nguyen Truong, Huy Hieu Pham, Johan Barthelemy, Minh Quan Tran, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Quynh Anh Chau, Hong Son Mai, Thanh Trung Nguyen, and Phi Le Nguyen, "Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation," In Proceedings of the 39th Conference on Neural Information Processing Systems arXiv PDF 📩 Corresponding Author
  4. Takahiro Komamizu, Marc A. Kastner, Yasutomo Kawanishi, Trung Thanh Nguyen, and Junan Chen, "IntentVC 2025: The ACM Multimedia Grand Challenge on Intention-Oriented Controllable Video Captioning," In Proceedings of the 33rd ACM International Conference on Multimedia (Grand Challenge) DOI
  5. Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, and Ichiro Ide, "MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion," In Proceedings of the 19th IEEE International Conference on Automatic Face and Gesture Recognition DOI arXiv 🏆 Best Student Paper Award
  6. Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen, Thanh Trung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen, and Phi Le Nguyen, "CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach," In Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision DOI arXiv
2024
Journal

2024

  1. Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "Zero-shot Pill-Prescription Matching with Graph Convolutional Network and Contrastive Learning," IEEE Access IF 3.9 DOI Open Access
Conference

2024

  1. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "Action Selection Learning for Multi-label Multi-view Action Recognition," In Proceedings of the 6th ACM International Conference on Multimedia in Asia DOI arXiv
  2. Manh Duong Nguyen, Trung Thanh Nguyen, Huy Hieu Pham, Trong Nghia Hoang, Phi Le Nguyen, and Thanh Trung Huynh, "FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization," In Proceedings of the 22nd IEEE International Symposium on Network Computing and Applications DOI arXiv
  3. Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, and Phi Le Nguyen, "FedCert: Federated Accuracy Certification," In Proceedings of the 22nd IEEE International Symposium on Network Computing and Applications DOI arXiv
  4. Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, and Ichiro Ide, "One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-Scale and Action Label Features," In Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition DOI arXiv
2022
Journal

2022

  1. Trung Thanh Nguyen, Truong Thao Nguyen, Thanh-Hung Nguyen, and Phi Le Nguyen, "Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing," IEEE Transactions on Network and Service Management IF 4.7 DOI arXiv
Conference

2022

  1. Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Ichiro Ide, and Phi Le Nguyen, "A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning," In Proceedings of the 2022 Pacific Rim International Conference on Artificial Intelligence DOI arXiv
  2. Nang Hung Nguyen, Phi Le Nguyen, Thuy Dung Nguyen, Trung Thanh Nguyen, Duc Long Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, and Thao Nguyen Truong, "FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning," In Proceedings of the 51st International Conference on Parallel Processing DOI arXiv
  3. Hieu Dinh, Nang Hung Nguyen, Trung Thanh Nguyen, Thanh Hung Nguyen, Truong Thao Nguyen, and Phi Le Nguyen, "Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks," In Proceedings of the 2022 IEEE Wireless Communications and Networking Conference DOI
2021
Conference

2021

  1. Dinh Tan Nguyen, Cao Truong Tran, Trung Thanh Nguyen, Cao Bao Hoang, Van Phu Luu, Ba Ngoc Nguyen, and Pou Ian Cheong, "Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion," In Proceedings of the 13th International Conference on Knowledge and Systems Engineering DOI
  2. Trung Thanh Nguyen, Truong Thao Nguyen, Tuan Anh Nguyen Dinh, Thanh Hung Nguyen, and Phi Le Nguyen, "Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems," In Proceedings of the 2021 IEEE International Performance, Computing, and Communications Conference DOI arXiv