Phi Vu Tran

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 449 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it; #4,501 of 21,575 by trust here, #8,722 by citations
• Artificial Intelligence — 42 citations into it; #14,606 of 35,345 by trust here, #16,166 by citations
• Model Architectures — 10 citations into it
• Natural Language Processing — 9 citations into it
• Optimization & Training — 6 citations into it
• Biophysics — 5 citations into it

Whom Phi Vu Tran trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ross B. Girshick
4. Yoshua Bengio
5. Kaiming He
6. Evan Shelhamer
7. Xavier Glorot
8. Ilya Sutskever
9. Vinod Nair
10. Diederik P. Kingma

Who trusts Phi Vu Tran overall

1. S. Suganyadevi
2. Xiangbin Liu
3. Qi-Yan Dou
4. Chen Chen
5. S. Kevin Zhou
6. Ozan Oktay
7. Jiayuan Mao
8. V. Seethalakshmi
9. Liping Song
10. Wenjia Bai

Papers from Phi Vu Tran's perspective

Ordered by how strongly the researchers Phi Vu Tran 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
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

• Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning (2018) — 224 citations
• A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI (2016) — 342 citations