Duy-Kien Nguyen

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 606 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #6,708 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 58 citations into it; #9,635 of 35,345 by trust here, #15,866 by citations
• Multimodal Learning — 24 citations into it
• Natural Language Processing — 19 citations into it
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 6 citations into it
• Question Answering & Reading Comprehension — 6 citations into it

Whom Duy-Kien Nguyen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Ross B. Girshick
8. Alex Graves
9. Jimmy Ba
10. Yann LeCun

Who trusts Duy-Kien Nguyen overall

1. Zhou Yu
2. Van-Quang Nguyen
3. Robik Shrestha
4. Peng Gao
5. Jun Yu
6. Tuong Khanh Long Do
7. Shubham Agarwal
8. Tianwen Qian
9. Deng Huang
10. Julia Kruk

Papers from Duy-Kien Nguyen's perspective

Ordered by how strongly the researchers Duy-Kien Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Improved Fusion of Visual and Language Representations by Dense Symmetric Co-attention for Visual Question Answering (2018) — 305 citations
• MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond (2021) — 12 citations