Tianwei Shen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Aerospace Engineering — 22 citations into it
• Model Architectures — 7 citations into it

Whom Tianwei Shen trusts overall

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

1. David G. Lowe
2. Jeffrey L. Elman
3. Yann LeCun
4. Geoffrey E. Hinton

Papers from Tianwei Shen's perspective

Ordered by how strongly the researchers Tianwei Shen 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. Distinctive Image Features from Scale-Invariant Keypoints
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference (2019) — 708 citations
• Learning Two-View Correspondences and Geometry Using Order-Aware Network (2019) — 368 citations