Patrick Hanckmann

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #16,372 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 7 citations into it

Whom Patrick Hanckmann trusts overall

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

1. Daniel Klein
2. Christian Schüldt
3. Moshe Blank
4. Ivan Laptev
5. Christopher D. Manning
6. Pedro F. Felzenszwalb
7. Ross B. Girshick
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Andrew Zisserman

Who trusts Patrick Hanckmann overall

1. Haonan Yu
2. Marcus Rohrbach
3. Jeffrey Mark Siskind
4. Jiang Wang
5. Wei Qiu

Papers from Patrick Hanckmann's perspective

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

Their papers

• Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions (2012) — 47 citations