Michaela Regneri

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 3 papers; trusts 85 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #4,592 of 21,575 by trust here, #5,620 by citations
• Artificial Intelligence — 26 citations into it; #20,574 of 35,345 by trust here, #7,797 by citations
• Natural Language Processing — 11 citations into it; #1,975 of 5,688 by trust here, #1,975 by citations
• Evaluation & Benchmarks — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Michaela Regneri trusts overall

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

1. Marcus Rohrbach
2. Terence P. Speed
3. Regina Barzilay
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Ivan Laptev
7. Alex Krizhevsky
8. Kaiming He
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Michaela Regneri overall

1. Marcus Rohrbach
2. Simon Ostermann
3. Karl Pichotta
4. Jean-Baptiste Alayrac
5. Piotr Bojanowski
6. Snigdha Chaturvedi
7. Anna Rohrbach
8. Rachel Rudinger
9. Manfred Pinkal
10. Bernt Schiele

Papers from Michaela Regneri's perspective

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

Their papers

• Grounding Action Descriptions in Videos (2013) — 568 citations
• Script Data for Attribute-Based Recognition of Composite Activities (2012) — 204 citations
• Learning Script Knowledge with Web Experiments (2010) — 157 citations