Daniel Walter

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 118 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #3,050 of 21,575 by trust here, #5,205 by citations
• Artificial Intelligence — 32 citations into it; #5,391 of 35,345 by trust here, #7,241 by citations
• Natural Language Processing — 8 citations into it

Whom Daniel Walter trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ilya Sutskever
4. Yoshua Bengio
5. Christian Szegedy
6. Tomas Mikolov
7. Yann LeCun
8. Diederik P. Kingma
9. Sergey Ioffe
10. Jason Aaron Edward Weston

Who trusts Daniel Walter overall

1. Zeynep Akata
2. Yongqin Xian
3. Ziming Zhang
4. Soravit Changpinyo
5. Max Bucher
6. Yao-Hung Hubert Tsai
7. Wei-Lun Chao
8. Scott E. Reed
9. Bernt Schiele
10. Vinay Kumar Verma

Papers from Daniel Walter's perspective

Ordered by how strongly the researchers Daniel Walter 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. ImageNet: A large-scale hierarchical image database
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. Long Short-Term Memory
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Evaluation of output embeddings for fine-grained image classification (2014) — 1,086 citations