Trung Thanh Nguyen
Orcid: 0000-0001-8976-2922Affiliations:
- RIKEN, Kyoto, Japan
According to our database1,
Trung Thanh Nguyen authored at least 24 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
Hierarchical Global-Local Fusion for One-stage Open-vocabulary Temporal Action Detection.
ACM Trans. Multim. Comput. Commun. Appl., January, 2026
MultiSensor-Home: Multi-modal multi-view dataset and benchmarks for action recognition in home environments.
Pattern Recognit., 2026
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
2025
CoRR, November, 2025
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation.
CoRR, September, 2025
CT to PET Translation: A Large-Scale Dataset and Domain-Knowledge-Guided Diffusion Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
MultiSensor-Home: Benchmark for Multi-modal Multi-view Action Recognition in Home Environments.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025
Q-Adapter: Visual Query Adapter for Extracting Textually-related Features in Video Captioning.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025
IntentVC 2025: The ACM Multimedia Grand Challenge on Intention-Oriented Controllable Video Captioning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion.
Proceedings of the 19th IEEE International Conference on Automatic Face and Gesture Recognition, 2025
2024
Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning.
IEEE Access, 2024
Proceedings of the 22nd International Symposium on Network Computing and Applications, 2024
FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization.
Proceedings of the 22nd International Symposium on Network Computing and Applications, 2024
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024
One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-Scale and Action Label Features.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
2022
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing.
IEEE Trans. Netw. Serv. Manag., December, 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
CoRR, 2022
Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning.
Proceedings of the 51st International Conference on Parallel Processing, 2022
2021
Data Augmentation for Small Face Datasets and Face Verification by Generative Adversarial Networks Inversion.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021
Q-learning-based Opportunistic Communication for Real-time Mobile Air Quality Monitoring Systems.
Proceedings of the IEEE International Performance, 2021