Norman Casagrande

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it; #20,916 of 21,575 by trust here, #7,092 by citations
• Artificial Intelligence — 55 citations into it; #7,924 of 35,345 by trust here, #1,968 by citations
• Signal Processing — 34 citations into it; #794 of 7,572 by trust here, #105 by citations
• Optimization & Training — 10 citations into it

Whom Norman Casagrande trusts overall

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

1. Robert E. Schapire
2. Leo Breiman
3. George Tzanetakis
4. John I. Makhoul
5. Yoav Freund
6. Jean-Julien Aucouturier
7. Corinna Cortes
8. Tao Li
9. Diederik P. Kingma
10. Tao Li

Who trusts Norman Casagrande overall

1. Ye Jia
2. Takuma Okamoto
3. Yu Zhang
4. Wei Ping
5. Ron J. Weiss
6. Xu Tan
7. Philippe Hamel
8. Heiga Zen
9. Zhen Zeng
10. Kainan Peng

Papers from Norman Casagrande's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Going deeper with convolutions
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Generating Sequences With Recurrent Neural Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Parallel WaveNet: Fast High-Fidelity Speech Synthesis (2017) — 912 citations
• Efficient Neural Audio Synthesis (2018) — 936 citations
• High Fidelity Speech Synthesis with Adversarial Networks (2019) — 264 citations
• Aggregate features and ADABOOST for music classification (2006) — 328 citations