James Tu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 27 citations into it
• Aerospace Engineering — 10 citations into it
• Automotive Engineering — 7 citations into it

Whom James Tu trusts overall

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

1. Charles Ruizhongtai Qi
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Christian Szegedy
6. Nicholas Carlini
7. Kaiming He
8. Andreas Geiger
9. Ian J. Goodfellow
10. Yoshua Bengio

Who trusts James Tu overall

1. Naveed Akhtar

Papers from James Tu's perspective

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

Their papers

• V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction (2020) — 654 citations
• Physically Realizable Adversarial Examples for LiDAR Object Detection (2020) — 308 citations