Yulun Tian

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Aerospace Engineering — 25 citations into it

Whom Yulun Tian trusts overall

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

1. David Nistér
2. Josef Sivic
3. Antoni Rosinol
4. Juan D. Tardós
5. José Neira
6. Dorian Gálvez-López
7. David G. Lowe
8. Luca Carlone
9. Andrew Zisserman
10. Qian-Yi Zhou

Papers from Yulun Tian's perspective

Ordered by how strongly the researchers Yulun Tian 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems (2021) — 305 citations