Viet D. Tran

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it

Whom Viet D. Tran trusts overall

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

1. Radford M. Neal
2. Koby Crammer
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Yann LeCun
6. Kaiming He
7. Yoshua Bengio

Papers from Viet D. Tran's perspective

Ordered by how strongly the researchers Viet D. Tran 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. Gradient-based learning applied to document recognition
3. Going deeper with convolutions
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet classification with deep convolutional neural networks
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Microsoft COCO: Common Objects in Context
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey (2019) — 759 citations