Allan Raventos

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 177 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #16,101 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 13 citations into it; #29,700 of 35,345 by trust here, #18,186 by citations
• Optimization & Training — 6 citations into it

Whom Allan Raventos trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Piotr Doll'ar
7. Yann LeCun
8. Shaoqing Ren
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Allan Raventos overall

1. Liang-Chieh Chen
2. Huiyu Wang
3. Rohit Mohan
4. Alexander Kirillov
5. Qizhu Li
6. Konstantin Sofiiuk
7. Ujwal D. Bonde
8. Bowen Cheng
9. Lorenzo Porzi

Papers from Allan Raventos's perspective

Ordered by how strongly the researchers Allan Raventos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Learning to Fuse Things and Stuff (2018) — 104 citations