Quoc Dang Vu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 94 citations into it
• Artificial Intelligence — 85 citations into it
• Model Architectures — 29 citations into it

Whom Quoc Dang Vu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. X. Zhang
5. Alex Krizhevsky
6. Karen Simonyan
7. Shaoqing Ren
8. Yann LeCun
9. Jia Deng
10. Yoshua Bengio

Who trusts Quoc Dang Vu overall

1. Simon Graham
2. Huyong Wang

Papers from Quoc Dang Vu's perspective

Ordered by how strongly the researchers Quoc Dang Vu 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• A Multi-Organ Nucleus Segmentation Challenge (2020) — 533 citations
• Methods for Segmentation and Classification of Digital Microscopy Tissue Images (2018) — 349 citations
• BACH: Grand challenge on breast cancer histology images (2018) — 716 citations
• Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images (2018) — 1,449 citations