Quoc-Viet Pham
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 12 papers; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 226 citations into it
- Electrical and Electronic Engineering — 209 citations into it
- Computer Vision and Pattern Recognition — 189 citations into it
- Radiology, Nuclear Medicine and Imaging — 82 citations into it
- Neurology — 9 citations into it
- Medical Imaging — 5 citations into it
Whom Quoc-Viet Pham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Linda Wang
- J. Urgen Schmidhuber
- Ilya Sutskever
- Dianbo Liu
Who trusts Quoc-Viet Pham overall
Papers from Quoc-Viet Pham's perspective
Ordered by how strongly the researchers Quoc-Viet Pham trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Deep learning for deepfakes creation and detection: A survey (2019) — 629 citations
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019) — 687 citations
- Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges (2021) — 595 citations
- Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research (2021) — 607 citations
- Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges (2020) — 448 citations
- Artificial Intelligence for the Metaverse: A Survey (2022) — 536 citations
- Blockchain for the Metaverse: A Review (2022) — 680 citations
- Industry 5.0: A survey on enabling technologies and potential applications (2021) — 1,399 citations
- Federated Learning for Smart Healthcare: A Survey (2021) — 872 citations
- Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts (2020) — 325 citations
- A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020) — 484 citations
- Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020) — 396 citations