Binh X. Nguyen

Orcid: 0000-0002-8838-7830

According to our database1, Binh X. Nguyen authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss.
CoRR, 2023

Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Multigraph Topology Design for Cross-Silo Federated Learning.
CoRR, 2022

Deep Federated Learning for Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Coarse-to-Fine Reasoning for Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Multiple Meta-model Quantifying for Medical Visual Question Answering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Graph-Based Person Signature for Person Re-Identifications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Multiple Interaction Learning with Question-Type Prior Knowledge for Constraining Answer Search Space in Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning.
Comput. Intell. Neurosci., 2019

Overcoming Data Limitation in Medical Visual Question Answering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Enhanced Fashion Attribute Learning Framework adapts to Attributes' inner-group Correlations and Imbalanced Data.
Proceedings of the 10th International Conference on Knowledge and Systems Engineering, 2018


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