Oliver Groth

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 353 researchers and is trusted by 1,749 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 159 citations into it; #969 of 21,575 by trust here, #720 by citations
• Artificial Intelligence — 105 citations into it; #4,498 of 35,345 by trust here, #4,137 by citations
• Natural Language Processing — 53 citations into it; #1,228 of 5,688 by trust here, #1,004 by citations
• Multimodal Learning — 38 citations into it; #71 of 1,211 by trust here, #46 by citations

Whom Oliver Groth trusts overall

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

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

Who trusts Oliver Groth overall

1. Ronghang Hu
2. Damien Teney
3. Kushal Kafle
4. Zhe Gan
5. Mohit Bansal
6. Xinlei Chen
7. Qi Wu
8. Jiasen Lu
9. Trevor Darrell
10. Marcus Rohrbach

Papers from Oliver Groth's perspective

Ordered by how strongly the researchers Oliver Groth 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations (2016) — 6,638 citations
• Visual7W: Grounded Question Answering in Images (2015) — 1,007 citations
• ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking (2018) — 119 citations
• RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces (2020) — 60 citations