Huy Hoang Le Nguyen

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 129 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #5,170 of 21,575 by trust here, #8,122 by citations
• Artificial Intelligence — 31 citations into it; #16,453 of 35,345 by trust here, #15,236 by citations
• Natural Language Processing — 20 citations into it
• Large Language Models — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Model Architectures — 10 citations into it
• Signal Processing — 7 citations into it
• Generative Models — 5 citations into it

Whom Huy Hoang Le Nguyen trusts overall

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

1. Davide Cozzolino
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Justus Thies
5. Karen Simonyan
6. Jessica J. Fridrich
7. Andreas Rössler
8. Andrew Zisserman
9. Alex Krizhevsky
10. Sergey Ioffe

Who trusts Huy Hoang Le Nguyen overall

1. Luisa Verdoliva
2. Sohail Ahmed Khan
3. Yuezun Li
4. Yong Zhang
5. Iacopo Masi
6. Trisha Mittal
7. Thanh Thi Nguyen
8. Hang Dai
9. Zhiyuan Yan
10. Xin Yang

Papers from Huy Hoang Le Nguyen's perspective

Ordered by how strongly the researchers Huy Hoang Le Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

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

• Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos (2019) — 522 citations
• Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection (2019) — 148 citations
• Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos (2018) — 803 citations