Tung Phan-Minh

Automotive Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Automotive Engineering — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 8 citations into it

Whom Tung Phan-Minh trusts overall

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

1. Steven M. LaValle
2. Kaiming He
3. Alex Krizhevsky
4. Mayank Bansal
5. Geoffrey E. Hinton
6. X. Zhang
7. Shaoqing Ren
8. Ross B. Girshick
9. Yuning Chai
10. Olga Russakovsky

Who trusts Tung Phan-Minh overall

1. Zikang Zhou
2. Thomas Gilles
3. Hang Zhao
4. Balakrishnan Varadarajan
5. Shaoyu Chen
6. Jianping Wang

Papers from Tung Phan-Minh's perspective

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

Their papers

• CoverNet: Multimodal Behavior Prediction Using Trajectory Sets (2019) — 495 citations