Siyi Li

Computer Vision and Pattern Recognition · with Li · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 521 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 109 citations into it; #7,372 of 21,575 by trust here, #5,987 by citations
• Artificial Intelligence — 16 citations into it
• Aerospace Engineering — 13 citations into it
• Global and Planetary Change — 8 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Computational Mechanics — 5 citations into it

Whom Siyi Li trusts overall

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

1. Xue Mei
2. Helmut Grabner
3. Ming-Hsuan Yang
4. Naiyan Wang
5. Alex Krizhevsky
6. Shai Avidan
7. Haibin Ling
8. Geoffrey E. Hinton
9. Martin Danelljan
10. Kaiming He

Who trusts Siyi Li overall

1. Yiming Li
2. Ziyuan Huang
3. Changhong Fu
4. Peng Fei Zhu
5. Ran Tao
6. Luca Bertinetto
7. Jack Valmadre
8. Longyin Wen
9. Jifeng Dai
10. Efstratios Gavves

Papers from Siyi Li's perspective

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

Their papers

• Transferring Rich Feature Hierarchies for Robust Visual Tracking (2015) — 316 citations
• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models (2017) — 415 citations