Yunpeng Li

Computer Vision and Pattern Recognition · with Boix · 2011

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #15,734 of 21,575 by trust here, #15,955 by citations

Whom Yunpeng Li trusts overall

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

1. Jamie Shotton
2. Svetlana Lazebnik
3. Jianguo Zhang
4. Pushmeet Kohli
5. Cordelia Schmid
6. Lubor Ladicky
7. Andrea Vedaldi
8. K. V. D. Sande
9. Brian Fulkerson
10. Geoffrey E. Hinton

Who trusts Yunpeng Li overall

1. Liang-Chieh Chen
2. George Papandreou
3. Rudra P. K. Poudel
4. Joachim Niemeyer

Papers from Yunpeng Li's perspective

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

Their papers

• Are spatial and global constraints really necessary for segmentation? (2011) — 74 citations