Jefferson Y. Han

Computer Vision and Pattern Recognition · 2005–2009

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #7,659 of 21,575 by trust here, #8,296 by citations

Whom Jefferson Y. Han trusts overall

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

1. Mike Wu
2. Yann LeCun
3. Ravin Balakrishnan
4. Navneet Dalal
5. Andrew D. Wilson
6. Marc'Aurelio Ranzato
7. Simon S. Haykin
8. David G. Lowe
9. Jim Mutch
10. Christophe Garcia

Who trusts Jefferson Y. Han overall

1. Martin Kaltenbrunner
2. Ross Bencina
3. Clément Farabet
4. Christian Holz
5. Patrick Baudisch
6. Hrvoje Benko
7. Pranav Mistry
8. Olivier Bau
9. Daniel J. Wigdor

Papers from Jefferson Y. Han's perspective

Ordered by how strongly the researchers Jefferson Y. Han trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Histograms of oriented gradients for human detection
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. GradientBased Learning Applied to Document Recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• CNP: An FPGA-based processor for Convolutional Networks (2009) — 364 citations
• Low-cost multi-touch sensing through frustrated total internal reflection (2005) — 1,172 citations