Daniel Roich

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it; #16,800 of 21,575 by trust here, #12,172 by citations
• Generative Models — 37 citations into it; #1,593 of 1,956 by trust here, #1,336 by citations

Whom Daniel Roich trusts overall

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

1. Tero Karras
2. Yujun Shen
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Karen Simonyan
9. Yann LeCun
10. Ilya Sutskever

Who trusts Daniel Roich overall

1. Yuval Alaluf
2. Chenlin Meng
3. Axel Sauer
4. Rinon Gal
5. Wenhu Chen
6. Tan M. Dinh
7. D. Epstein
8. Tengfei Wang
9. Guangxuan Xiao
10. Xingang Pan

Papers from Daniel Roich's perspective

Ordered by how strongly the researchers Daniel Roich 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pivotal Tuning for Latent-based Editing of Real Images (2021) — 626 citations