Oswald Lanz

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 150 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 19 citations into it
• Question Answering & Reading Comprehension — 11 citations into it
• Multimodal Learning — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Oswald Lanz trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Chenyou Fan
7. Ilya Sutskever
8. Yoshua Bengio
9. Andrew Zisserman
10. Yann LeCun

Papers from Oswald Lanz's perspective

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

Their papers

• Data augmentation techniques for the Video Question Answering task (2020) — 7 citations
• No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion (2013) — 120 citations