Ben Pflaum

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #16,962 of 21,575 by trust here, #9,722 by citations
• Artificial Intelligence — 16 citations into it
• Generative Models — 8 citations into it
• Model Architectures — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Ben Pflaum trusts overall

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

1. Kaiming He
2. François Chollet
3. Yuezun Li
4. Xin Yang
5. Pavel Korshunov
6. Mingxing Tan
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Andrew Zisserman
10. X. Zhang

Who trusts Ben Pflaum overall

1. Kaede Shiohara

Papers from Ben Pflaum's perspective

Ordered by how strongly the researchers Ben Pflaum trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The DeepFake Detection Challenge Dataset (2020) — 323 citations
• The Deepfake Detection Challenge (DFDC) Preview Dataset (2019) — 663 citations
• The DeepFake Detection Challenge (DFDC) Dataset. (2020) — 951 citations