Christopher Thomas

Computer Vision and Pattern Recognition · with Kovashka · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 447 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #18,190 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 41 citations into it
• Generative Models — 12 citations into it; #1,650 of 1,956 by trust here, #1,946 by citations
• Experimental and Cognitive Psychology — 7 citations into it
• Model Architectures — 7 citations into it

Whom Christopher Thomas trusts overall

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

1. Kaiming He
2. David G. Lowe
3. Diederik P. Kingma
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Alex Krizhevsky
8. Sergey Ioffe
9. Ross B. Girshick
10. Shaoqing Ren

Who trusts Christopher Thomas overall

1. Kimmo Kärkkäinen
2. Jungseock Joo

Papers from Christopher Thomas's perspective

Ordered by how strongly the researchers Christopher Thomas 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Automatic Understanding of Image and Video Advertisements (2017) — 200 citations
• Persuasive Faces: Generating Faces in Advertisements (2018) — 10 citations