Tong Lin

Computer Vision and Pattern Recognition · with Zha · 2008

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #11,834 of 21,575 by trust here, #19,310 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Tong Lin trusts overall

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

1. Francesco Camastra
2. Stéphane Lafon
3. Charles M. Bishop
4. Ronald R. Coifman
5. David L. Donoho
6. Boaz Nadler
7. Jian Yang
8. Lawrence K. Saul
9. Sam T. Roweis
10. Matthew Brand

Who trusts Tong Lin overall

1. Francesco Camastra
2. Peng Zhang
3. Antonino Staiano
4. Yuanyuan Ren
5. Dominique C. Perrault-Joncas

Papers from Tong Lin's perspective

Ordered by how strongly the researchers Tong Lin 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. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Riemannian Manifold Learning (2008) — 478 citations