Hanxi Li

Computer Vision and Pattern Recognition · 2009–2014

A researcher in the Science corpus: 3 papers; trusts 87 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #8,887 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 19 citations into it; #23,170 of 35,345 by trust here, #29,412 by citations
• Computational Mechanics — 9 citations into it; #4,880 of 10,001 by trust here, #4,749 by citations
• Optimization & Training — 7 citations into it

Whom Hanxi Li trusts overall

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

1. Jerome H. Friedman
2. Yoav Freund
3. Robert E. Schapire
4. Joel A. Tropp
5. Alex Krizhevsky
6. Xue Mei
7. Geoffrey E. Hinton
8. Chih-Jen Lin
9. Yoshua Bengio
10. Naiyan Wang

Who trusts Hanxi Li overall

1. Hyeonseob Nam
2. Chao Ma
3. Kaihua Zhang
4. Suyog Dutt Jain
5. Bohyung Han
6. Tianzhu Zhang
7. Seyed Mojtaba Marvasti-Zadeh
8. Zhetao Li
9. Shengping Zhang
10. Seunghoon Hong

Papers from Hanxi Li's perspective

Ordered by how strongly the researchers Hanxi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking (2014) — 153 citations
• On the Dual Formulation of Boosting Algorithms (2009) — 140 citations
• Real-time visual tracking using compressive sensing (2011) — 314 citations