Klamer Schutte

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #16,371 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 10 citations into it

Whom Klamer Schutte trusts overall

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

1. Daniel Klein
2. Yu-Gang Jiang
3. Christian Schüldt
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ivan Laptev
7. Stephen E. Robertson
8. Ross B. Girshick
9. Kaiming He
10. Sri Devi Ravana

Who trusts Klamer Schutte overall

1. Haonan Yu
2. Marcus Rohrbach

Papers from Klamer Schutte's perspective

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

Their papers

• Automated Textual Descriptions for a Wide Range of Video Events with 48 Human Actions (2012) — 47 citations
• Blind late fusion in multimedia event retrieval (2016) — 7 citations