Daniel Miller

Computer Vision and Pattern Recognition · with Kemelmacher-Shlizerman · 2015

A researcher in the Science corpus: 2 papers; trusts 175 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #4,743 of 21,575 by trust here, #5,620 by citations
• Signal Processing — 22 citations into it; #1,818 of 7,572 by trust here, #1,033 by citations

Whom Daniel Miller trusts overall

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

1. Yi Sun
2. Yaniv Taigman
3. Paul A. Viola
4. Xuehan Xiong
5. Gary B. Huang
6. Xiaogang Wang
7. Dong Yi
8. Florian Schroff
9. Geoffrey E. Hinton
10. Marc'Aurelio Ranzato

Who trusts Daniel Miller overall

1. Yandong Wen
2. Stepan Alekseevich Komkov
3. Jiankang Deng
4. Stylianos Moschoglou
5. Kaipeng Zhang
6. Weiyang Liu
7. Eric Learned-Miller
8. Aleksandr Petiushko
9. Zhifeng Li
10. Arsha Nagrani

Papers from Daniel Miller's perspective

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

Their papers

• The MegaFace Benchmark: 1 Million Faces for Recognition at Scale (2015) — 923 citations
• MegaFace: A Million Faces for Recognition at Scale (2015) — 56 citations