Hatwig Adam

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 304 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 95 citations into it
• Artificial Intelligence — 51 citations into it
• Model Architectures — 36 citations into it

Whom Hatwig Adam trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Liang-Chieh Chen
6. Diederik P. Kingma
7. Yann LeCun
8. Yoshua Bengio
9. Ilya Sutskever
10. Karen Simonyan

Papers from Hatwig Adam's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• k-means Mask Transformer (2022) — 164 citations