Tilke Judd

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 4 papers; trusts 158 researchers and is trusted by 210 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 89 citations into it; #2,547 of 21,575 by trust here, #3,732 by citations
• Cognitive Neuroscience — 46 citations into it
• Human-Computer Interaction — 17 citations into it; #144 of 2,253 by trust here, #198 by citations
• Cognitive Science & Psychology — 7 citations into it

Whom Tilke Judd trusts overall

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

1. Laurent Itti
2. Christof Koch
3. Paul A. Viola
4. Antonio Torralba
5. Ofir Pele
6. Aude Oliva
7. O. Le Meur
8. Neil D. B. Bruce
9. Krista A. Ehinger
10. Vidhya Navalpakkam

Who trusts Tilke Judd overall

1. Wenguan Wang
2. Ali Borji
3. Ming-Ming Cheng
4. Junting Pan
5. Marcella Cornia
6. Lucas Theis
7. Jianbing Shen
8. Erkut Erdem
9. Ran Margolin
10. Stefan Mathe

Papers from Tilke Judd's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning to predict where humans look (2009) — 2,189 citations
• A Benchmark of Computational Models of Saliency to Predict Human Fixations (2012) — 630 citations
• What Do Different Evaluation Metrics Tell Us About Saliency Models? (2016) — 932 citations
• Apparent ridges for line drawing (2007) — 327 citations